Content name resolution for information centric networking

Information

  • Patent Grant
  • 10706029
  • Patent Number
    10,706,029
  • Date Filed
    Monday, June 12, 2017
    8 years ago
  • Date Issued
    Tuesday, July 7, 2020
    5 years ago
Abstract
A content-name-resolution (CNR) system can resolve IP addresses for named data objects (NDOs) based on their name. During operation, a CNR server can receive a query from a client device for a source to a named data object. The query can include at least a name prefix for the named data object. The CNR server can identify a cache server that corresponds to the named data object's name prefix, and determines one or more sources associated with the named data object's name prefix. The CNR server then returns, to the client device, a query response that includes a network address for the cache server, and includes a content record specifying the one or more sources.
Description
BACKGROUND

Field


This disclosure is generally related to computer networks. More specifically, this disclosure is related to resolving a name for a piece of content to obtain network addresses to one or more servers that can provide the content.


Related Art


The Internet protocol suite includes a set of communication protocols designed to connect endpoints, such as the Transmission Control Protocol (TCP), and the Internet Protocol (IP). In this protocol suite, IP packets are switched and routed based on their source and destination addresses, which serves as the primary building-block for the entire suite of Internet protocols today. Building on IP, TCP provides reliable end-to-end transmission, and a domain name system (DNS) provides a directory that maps user-friendly hostnames to IP addresses. Also, the hypertext transfer protocol (HTTP) names individual directories and pieces of content within a host. When a client desires a particular piece of web content today, the client first uses DNS to map the hostname to an IP address, and then sends a HTTP request to this IP address to receive the content from the host.


However, using the Internet protocol suite and DNS servers to access web content creates a performance bottleneck at the HTTP servers, because these HTTP servers need to individually answer each HTTP request for the same piece of content. To make matters worse. Internet users are primarily concerned with having access to content, not necessarily to hosts. For example, a user that desires to stream a high-definition video feed would prefer to obtain the feed from a nearby server that can provide a faster bitrate than from the primary host for the media stream.


This disconnect has given rise to several peripheral technologies today, such as content delivery networks (CDNs) and HTTP proxies, which are designed to optimize or improve content distribution. CDNs have evolved as a service that a content publisher may employ to better and more efficiently distribute their content worldwide. CDNs employ DNS redirection, typically by appending a special set of characters (e.g., a388.g.akamaitech.net) to the original hostname in the URL. This process is constructed so that when a local DNS server attempts to resolve the hostname requested by the client, the local DNS server instead resolves the hostname of a relatively local server belonging to the CDN. This address is returned to the client, which then fetches the content from the local CDN server.


HTTP proxies approach the same problem from the client-side to traffic on the publisher's HTTP servers, which help reduce congestion throughout the Internet. An organization deploys an HTTP proxy at a network location that allows the proxy to see all outgoing HTTP requests, and their respective responses. The proxy caches the responses, and then directly answers subsequent requests for the same content without the request ever making its way to the publisher's HTTP servers.


However. HTTP proxies are oftentimes difficult to deploy, because they are not acknowledged by either DNS servers or CDNs. For a client to take advantage of a local proxy, the client browser needs to be configured to send HTTP requests directly to the HTTP proxy, or the HTTP proxy needs to be placed at a network location directly on the path between the client and the server.


Additionally, recent research efforts are producing information-centric networking (ICN) to re-architect the entire network stack around content. In ICN, packets typically do not contain network addresses for a source and a destination of the packet. Rather, clients issue requests for named data objects (NDOs), and routers across the network route these requests directly through the network to a closest network node that stores a copy of the content, which returns a packet that includes the requested NDO to respond to the request. However, ICNs represent a major departure from the current Internet architecture, and are fundamentally incompatible with today's TCP/IP stack. This incompatibility is a significant obstacle for any sort of deployment, and has hindered quick adoption of ICN proposals.


SUMMARY

One embodiment provides a content-name-resolution system that resolves IP addresses for named data objects (NDOs) based on their name. During operation, the system can receive a query from a client device for a source to a named data object. The query includes at least a name prefix for the named data object. The system then identifies a cache server that corresponds to the named data object's name prefix, and determines one or more sources associated with the named data object's name prefix. The system then returns, to the client device, a query response that includes a network address for the cache server, and includes a content record specifying the one or more source addresses, which can correspond to an origin server, a content delivery network (CDN) node, or any other device that hosts the named data object.


In some embodiments, the named data object can include any named object of an information centric network (ICN). In ICN, each piece of content is individually named, and each piece of data is bound to a unique name that distinguishes the data from any other piece of data, such as other versions of the same data or data from other sources. This unique name allows a network device to request the data by disseminating a request or an Interest that indicates the unique name, and can obtain the data independent from the data's storage location, network location, application, and means of transportation. Named-data network (NDN) or a content-centric network (CCN) are examples of ICN architecture; the following terms describe elements of an NDN or CCN architecture:


Content Object:


A single piece of named data, which is bound to a unique name. Content Objects are “persistent,” which means that a Content Object can move around within a computing device, or across different computing devices, but does not change. If any component of the Content Object changes, the entity that made the change creates a new Content Object that includes the updated content, and binds the new Content Object to a new unique name.


Unique Names:


A name in an ICN is typically location independent and uniquely identifies a Content Object. A data-forwarding device can use the name or name prefix to forward a packet toward a network node that generates or stores the Content Object, regardless of a network address or physical location for the Content Object. In some embodiments, the name may be a hierarchically structured variable-length identifier (HSVLI). The HSVLI can be divided into several hierarchical components, which can be structured in various ways. For example, the individual name components parc, home, ndn, and test.txt can be structured in a left-oriented prefix-major fashion to form the name “/parc/home/ndn/test.txt.” Thus, the name “/parc/home/ndn” can be a “parent” or “prefix” of “/parc/home/ndn/test.txt.” Additional components can be used to distinguish between different versions of the content item, such as a collaborative document.


In some embodiments, the name can include a non-hierarchical identifier, such as a hash value that is derived from the Content Object's data (e.g., a checksum value) and/or from elements of the Content Object's name. A description of a hash-based name is described in U.S. patent application Ser. No. 13/847,814 (entitled “ORDERED-ELEMENT NAMING FOR NAME-BASED PACKET FORWARDING,” by inventor Ignacio Solis, filed 20 Mar. 2013), which is hereby incorporated by reference. A name can also be a flat label. Hereinafter, “name” is used to refer to any name for a piece of data in a name-data network, such as a hierarchical name or name prefix, a flat name, a fixed-length name, an arbitrary-length name, or a label (e.g., a Multiprotocol Label Switching (MPLS) label).


Interest:


A packet that indicates a request for a piece of data, and includes a name (or a name prefix) for the piece of data. A data consumer can disseminate a request or Interest across an information-centric network, which CCN/NDN routers can propagate toward a storage device (e.g., a cache server) or a data producer that can provide the requested data to satisfy the request or Interest.


In some embodiments, the ICN system can include a content-centric networking (CCN) architecture. However, the methods disclosed herein are also applicable to other ICN architectures as well. A description of a CCN architecture is described in U.S. patent application Ser. No. 12/338,175 (entitled “CONTROLLING THE SPREAD OF INTERESTS AND CONTENT IN A CONTENT CENTRIC NETWORK,” by inventors Van L. Jacobson and Diana K. Smetters, filed 18 Dec. 2008), which is hereby incorporated by reference.


In some embodiments, while identifying the cache server, the system determines whether a cache server has been assigned to the named data object's name prefix. If a cache server has not been assigned to the named data object's name prefix, the system selects a cache server for the name prefix, and binds the content object's name prefix to the selected cache server.


In some embodiments, the system can select the cache server by using a load-balancing function to select a cache server from a plurality of cache servers, and/or by using a hash function to compute, from the named data object's name prefix, a hash value that identifies a cache server.


In some embodiments, the system can receive, from a peer CNR server, a request for a content record associated with a second name prefix. The system can select, for the peer CNR server, one or more content servers associated with the name prefix. The system can generate the content record to satisfy the request by generating a base content record for the name prefix, and generating a second content record by updating the base content record to include the selected content servers. The system can then send the content record to the peer CNR server.


In some embodiments, the system can generate the content record by selecting one or more cache servers associated with the name prefix, generating a base content record for the name prefix, and updating the base content record to include the selected content servers.


In some embodiments, the content record can also include the name for the named data object, a security field, a content delivery protocol, and a set of protocol attributes.


In some embodiments, the content record specifies, for each network address, a corresponding content delivery protocol and a set of protocol attributes.


In some embodiments, the content record includes the sources in a sorted list. The list can be sorted according to one or more of a hop count between the CNR server and the sources, a physical distance between the CNR server and the sources, a network latency between the CNR server and the sources, an available network bandwidth to the sources, a processing delay at the sources, and an average load at the sources.


In some embodiments, the system can determine one or more authoritative sources by determining a remote content-name-resolution server associated with a portion of the name prefix. The system then sends, to the remote content-name-resolution server, a request for the content record associated with the name prefix.


In some embodiments, after receiving the content record from the remote content-name-resolution server, the system stores the content record in association with the name prefix.


One embodiment provides a cache server that can process a content record to obtain a named data object from a local cache or an origin server for the named data object. During operation, the cache server can receive a request from a client device for a named data object. The request can include a name for the named data object, and can include a content record specifying one or more sources associated with a name prefix for the named data object. The cache server determines whether a local cache stores the named data object. If the cache does not store the named data object, the cache server sends a request for the named data object to a source specified in the content record. Then, in response to receiving the named data object from the specified source, the cache server returns the named data object to the client device.


In some embodiments, after receiving the named data object from the specified source, the cache server stores the named data object in the local cache.





BRIEF DESCRIPTION OF THE FIGURES


FIG. 1 illustrates an exemplary computing environment for retrieving a named data object based on a name prefix in accordance with an embodiment.



FIG. 2 illustrates exemplary communication with a content-name resolution server in accordance with an embodiment.



FIG. 3A illustrates an exemplary content record in accordance with an embodiment.



FIG. 3B illustrates an exemplary content record that includes sources for multiple content-delivery protocols in accordance with an embodiment.



FIG. 4 presents a flow chart illustrating a method for processing a query for a source to a named data object in accordance with an embodiment.



FIG. 5 presents a flow chart illustrating a method for selecting a cache server that is assigned to a name prefix in accordance with an embodiment.



FIG. 6A presents a flow chart illustrating a method for obtaining a content record for a name prefix in accordance with an embodiment.



FIG. 6B presents a flow chart illustrating a method 650 for dynamically generating a content record for a name prefix in accordance with an embodiment.



FIG. 7 presents a flow chart illustrating a method for processing a query at a cache server in accordance with an embodiment.



FIG. 8 illustrates an exemplary apparatus that facilitates retrieving a named data object based on a name prefix in accordance with an embodiment.



FIG. 9 illustrates an exemplary computer system that facilitates retrieving a named data object based on a name prefix in accordance with an embodiment.





In the figures, like reference numerals refer to the same figure elements.


DETAILED DESCRIPTION

The following description is presented to enable any person skilled in the art to make and use the embodiments, and is provided in the context of a particular application and its requirements. Various modifications to the disclosed embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the present disclosure. Thus, the present invention is not limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.


Overview

Embodiments of the present invention provide a system of one or more content-name resolution (CNR) servers that solves the problem of resolving IP addresses for named data objects (NDOs) based on their name. A client device can send a request that includes a name for an NDO to a local CNR server, and the CNR server can perform content-name resolution by mapping the name prefix to a set of network addresses to content producers that can provide the NDO. The CNR server can respond to the client device's request by returning a packet that includes the set of network addresses for the content producers.


Hence, the CNR servers achieve the majority of benefits from information centric networking (ICN), and provide an ICN interface to end hosts, applications, and network clients by leveraging existing Internet and Web technologies. More importantly. CNR servers can reduce the cost of deploying ICN features over a computer network. For example, Internet service providers (ISPs) can adapt some domain name system (DNS) servers to implement CNR capabilities that perform content-name resolution. This allows ISPs to retain their existing routers and network switches, and allows network clients to continue accessing content over the Internet based on domain names. These adapted DNS servers can process requests that include a domain name using domain-name resolution, can process requests that include a name prefix for an NDO using content-name resolution. In the remainder of this disclosure, the term “CNR server” is used to refer to a server that performs content-name resolution, and is also used to refer to a modified DNS server that performs both domain-name resolution and content-name resolution.


The CNR system described herein performs content delivery using two separate request-response pairings. The first request is to a CNR server that maps the content's name to an address where the content can be found, and the second request (e.g., HTTP) is to obtain the content itself. This is different from information centric networks (ICN), such as content-centric networks (CCN) or named data networks (NDN) that typically perform content delivery through a single request-response pairing. In ICNs, a content request is routed to a node that can provide the content, and the node returns a response that includes the content.


The multiple request-response pairs of the CNR system separate the act of locating content from the act of serving the content, which produces one topology for content-location and another topology for content-distribution. Each of these two topologies can be optimized for particular traffic loads. Most importantly, these two topologies can evolve and be optimize independently from each other, and from the core routing infrastructure that routes IP packets between hosts.


In some embodiments, when a client application, such as a web browser, wishes to access a named data object (e.g., an NDO with a name “/parc/videos/spencer/v1.mpeg”), the web browser issues a CNR request for the content name to a local CNR server. CNR servers may extend the DNS to directly support content names via a Content Record (CR), which is a new type of DNS Resource Record that represents a specific piece of named content. As in the DNS today, the client's request is routed to the authoritative CNR zone for the name, which responds with the corresponding content record if one exists. Once the client application receives the content record, the application selects an address from the provided address set and uses the specified protocol to issue a content request for the named content to this address.


When a client resolves a content record through the DNS, the client receives the address of a server hosting the content along with the necessary information to verify the authenticity of the content. Note that when resolving a content record, the address provided does not need to be a network address of the origin server, as is the case with hostnames today. Rather, the address can point to a server from the publisher, or the address can point to a CDN node, an alternate mirror, or even a local hypertext transfer protocol (HTTP) cache.


The content record also specifies the protocol being used to serve the content, along with any protocol-specific information. Hence, the CNR server can support any content delivery protocol now known or later developed, such as HTTP, file transfer protocol (FTP), network file system (NFS). Of these content delivery protocols, HTTP is the most common and prevalent protocol in use today, and so HTTP is used hereinafter to describe capabilities of the CNR system. However, the CNR system and the content records are in no way bound to HTTP or any particular content delivery protocol.



FIG. 1 illustrates an exemplary computing environment 100 for retrieving a named data object based on a name prefix in accordance with an embodiment. Computing environment 100 can include a computer network 102, which can include any wired or wireless network that interfaces various computing devices to each other, such as a computer network implemented via one or more technologies (e.g., Bluetooth, Wi-Fi, cellular. Ethernet, fiber-optic, etc.). In some embodiments, network 102 can include the Internet.


Also, in some embodiments, network 102 can include a hierarchy of CNR servers that each can resolve a set of name prefixes, similar to a hierarchy of DNS servers. For example, if a client device 108 issues a query to CNR server 104.5 for a name prefix for which a content record does not exist locally, CNR server 104.5 can resolve the name prefix by forwarding to another CNR server associated with at least a portion of the name prefix. However, unlike DNS, the content-name resolution (CNR) process maps a name or name prefix to a named data object with the name, rather than to a host.


Naming content directly enables much finer-grained load-balancing through two separate mechanisms. First, the content records can assign different content names or name prefixes to separate servers. This allows different named data objects to easily be served by different content servers without requiring a central load-balancing server to balance loads on these content servers. Second, a particular piece of content can easily be accessed from multiple content servers as necessary, thereby balancing the load by adding a new IP address to the content record.


Additionally, resolving content names instead of host names enables content to migrate across various hosts and servers without having to specify a different URL or employing DNS redirection, since content-name resolution does not tie a content name and a host name. CNR servers 104 can dynamically generate or update content records when appropriate to account for how a piece of content can migrate over network 102. For example, CNR server 104.5 can include a content record for a given name prefix that specifies a content server 110 as an authoritative source for a piece of content. If the content becomes available at content server 112, CNR server 104.5 can update the content record to also specify content server 112 as another authoritative source for the piece of content.


Dynamic content-record generation can occur at any point along the CNR request-response path. In some embodiments, a local CNR server can include a content record that indicates a set of nearby hosts to a named data object, such that various CNR servers can include content records that specify different network addresses to the same data object. Client device 108 may receive a content record that specifies an address to content server 110, and a different client device local to CNR server 104.3 can receive a content record that specifies an address to content record 112.


Table 1 presents pseudocode performed by an authoritative CNR server in accordance with an embodiment of the present invention. This pseudocode generates a content record similar to how a DNS server generates a host record. However, unlike a typical DNS server, line 6 of Table 1 shows how a CNR server can generate the content record to also include an address set that is localized to the requesting node.












TABLE 1










receive_content_record_request(request) {




  if (does_not_exist(request)) {




   return error;




  }




  response = generate_base_response(request);




  add_localized_address_set(response);




  send_response(response);




}










In some embodiments, CNR servers can also assign cache servers to a name prefix. For example, client device 108 can send a query to local CNR server 104.5 for a named data object. If CNR server 104.5 is aware of a nearby cache containing the content, and if the local CNR server 104.5 has cached the base content record, CNR server 104.5 can dynamically generate a full content record with the address of the caching server. Moreover, CNR server 104.5 can do so without even querying an authoritative CNR 104.1. Table 2 includes exemplary pseudocode for a CNR server that can associate one or more cache servers to a name prefix for a named data object. Specifically, unlike a typical DNS server, line 4 of Table 2 shows how a CNR server can generate the content record to also include an address set for one or more cache servers assigned to a given name prefix.












TABLE 2










receive_content_record_request(request) {




  if (content_in_cache(request)) {




   response = generate_base_response(request);




   add_cache_address_set(response);




   send_response(response);




  } else {




   forward_through_cnr(request);




  }




}










The pseudocode in Table 1 and Table 2 is a departure from standard DNS policy, and effectively means that two clients residing in different locations may query the DNS for the same content name or name prefix and receive two different responses. This CNR implementation enables content localization and redirection (to CDNs, proxies, mirror sites, etc.), without fragmenting the content namespace or requiring caches to be directly on the path between the client (e.g., client device 108) and the origin server (e.g., content server 110 or 112).


In some embodiments, the CNR system can be deployed by modifying application-layer protocols and leaving the rest of the Internet protocol stack unchanged. This allows the CNR system to be deployed over existing computer networks. For example, CNR servers 104 can include domain name servers that can also perform content name resolution. However, unlike typical domain name servers that map domain names to network addresses, a CNR server 104 maps names for individual content objects to one or more network devices that can provide the content object.


Also, a web browser on a client device 108 can be changed to support content record resolution. The web browser may specify which types of records should be returned by a CNR query, and can issue the CNR query using a new protocol prefix, such as “cnr//.” A universal resource locator (URL) starting with the prefix “cnr://” can include a CNR query for a content record representing the entire name (e.g., the full name following the “cnr.//” prefix). On the other hand, a CNR server 104 can resolve a URL starting with the prefix “http://” by performing a typical DNS lookup for the hostname portion of the name (e.g., not including a path portion of the name).


Additionally, the CNR system is compatible with the existing suite of web protocols, so deployment can be incremental and on a per-domain basis. A domain (such as parc.com) can choose to support content-name resolution simply by adding CNR content records for their existing content. Typical DNS servers that do not perform content-name resolution can still provide support for these CNR queries and responses, given that DNS servers must still forward queries and responses even if they do not recognize the type of resource record.


The content servers themselves, including the origin servers and CDN caches, do not need to be changed to support the CNR system. When a client successfully resolves a content record, the client receives all the information necessary to fetch the content, and can send a standard content request to a server over an existing computer network.



FIG. 2 illustrates exemplary communication with a content-name resolution server in accordance with an embodiment. During operation, an application running on a client device 202 receives a name prefix for a named data object to download. Client device 202 can perform a lookup operation in a local cache to determine whether the named data object has been cached. If client device 202 has not cached the data object, client device 202 can determine a remote server that stores the named data object by querying a content-name resolution server 204. In some embodiments, CNR server 204 can include a domain name server. For example, an internet service provider may assign a content-name resolution (CNR) server 204 to client device 202. Client device 202 can send a query 210 that indicates a name prefix for the content object to CNR server 204.


CNR server 204 obtains a content record for the name prefix, and determines a cache server 206 that client device 202 can use to obtain the named data object. CNR server 204 then sends a query response 212 to client device 202, such that query response 212 includes the content record and a network address for cache server 206. Client device 202 then obtains the network address for cache server 206 from the query response, and sends a request 214 for the named data object to cache server 206. This request can include the content record, which cache server 206 can use to determine a source for the named data object without having to query a content-name resolution server.


Cache server 206 can use the name prefix to perform a lookup operation in the local cache to determine whether cache server 206 stores the named data object. If cache server 206 does not store the data object, cache server 206 can use the content record to obtain a network address for a content server 208 that can provide the named data object, and sends a request 216 to content server 208 for the named data object. After receiving the named data object 218, cache server can cache the named data object, and sends named data object 218 to client device 202. If client device 202 or another client device sends a request 220 for named data object 218 at a later time, cache server 206 can return the cached copy of the named data object 218 to the client device.


In some embodiments, when client device 202 successfully resolves a CNR query for a named data object, client device 202 receives the base content record and one or more address records. In the event that client device 202 receives several address records, client device 202 may assume that the records have been ranked by locality, availability, or some other such metric. Thus, client device 202 should request the named data object from the first address first, and then proceed through the set of address records if and when they become necessary. Policies may arise and be standardized for address record ranking and ordering, similar to the rules for host IP address selection.


A strength of the CNR content record is that the record is extensible enough to support a wide range of content-delivery protocols. This eases the deployment of CNR servers, as well as ensures CNR servers are extensible in the future, such as to support future network-layer ICN proposals.



FIG. 3A illustrates an exemplary content record 300 in accordance with an embodiment. Content record 300 refers to a particular piece of named content, specified by its name and place in the DNS tree. Similar to a DNS record, content record 300 can include a content name 302 for a named data object, a type 304 of the content record, a class code 306 for the content record, and a time to live (TTL) field 308 that indicates a count that the content record remains valid. Note that one main distinction between content record 300 and a DNS record is that content name 302 for content record 300 corresponds to a piece of content independent of where this content is hosted.


Content record 300 also includes a set of IP addresses 318 to one or more network computers where the named data object can be found. The addresses are included in the response as individual DNS A{AAA} records. A content record without any addresses is referred to as a base content record, whereas a full content record refers to a base content record with at least one address record. In some embodiments, the content record includes the sources in a sorted list. The list of sources can be sorted, for example, based on a hop count between the CNR server and the sources, a physical distance between the CNR server and the sources, a network latency between the CNR server and the sources, an available network bandwidth to the sources, a processing delay at the sources, an average load at the sources, and/or based on any other performance metrics now known or later developed.


Further, content record 300 can also include an object security field 310, a record security field 312. Object security field 310 contains the information necessary for a client to verify the provenance and authenticity of the content object. Object security field 310 can include, for example a hash value calculated from the content (e.g., md5:d131dd05 . . . ), or can include a public-key from the publisher used by the client to verify a signature provided with the content object. Hence, a client can use the object security field to protect against attacks and ensure data provenance and authenticity regardless of the source of the content, given that a piece of content can come from a large number of different sources, some of which may be unknown to the content publisher.


Object security field 310 allows content record 300 to secure the content object. However, for this to work, content record 300 must be secured as well. This is accomplished through record security field 312. Since content record 300 is a type of DNS record, object security field 310 can secure content record 300 through any one of several existing security protocols today, such as Domain Name System Security Extensions (DNSSEC).


In some embodiments, content record 300 can also include a protocol field 314 that specifies a content delivery protocol to use to obtain the named data object, and includes a protocol attributes field 316 that specifies protocol-specific values necessary for successful content delivery. HTTP is the most common content-delivery protocol in use today. To support HTTP, a content record can specify a hostname length number (HLN) as a protocol attribute, which is used to translate the content name from DNS to HTTP. This is important because names in DNS consist of one hierarchical component, whereas HTTP has two main components: the hostname and the path. Thus, the HLN is needed to denote the number of components in the hostname, with the assumption that the remainder of the name is the content path. Once a client translates a name from DNS to HTTP using the HLN, the client can issue an HTTP request to one of the servers in the address set included in the content record.


FTP is another popular content-delivery protocol, and is considered superior for transferring larger files. The content record can support FTP by specifying the filename used for the FTP transfer.


In some embodiments, the set of content servers that host a named data object may allow a client device to download the data object through one of various possible content-delivery protocols. To accommodate these various protocols, a content record can specify a content delivery protocol and protocol attributes for each address to a source.



FIG. 3B illustrates an exemplary content record 350 that includes sources for multiple content-delivery protocols in accordance with an embodiment. Content record 350 can include a set of content delivery protocols 364, a set of protocol attributes 366, and a set of addresses for various content servers. Specifically, content record 350 specifies that a content server at an address 368.1 can support a content delivery protocol 364.1, and specifies protocol-specific values 366.1 necessary for successful content delivery via protocol 364.1.


Requesting Content


In the CNR system, the process of requesting a piece of content starts with a DNS name, though translation may be performed if the user or application provides a name in a valid format, such as via an HTTP URL. The DNS name is used in a content request, which is routed through the CNR system as usual, and a content record (containing a HLN) is returned to the client. The client then uses the DNS name in combination with the HLN to construct an HTTP name, and uses this name to request the piece of content using HTTP.


In some embodiments, a computer can translate an HTTP URL to a DNS content name by partitioning the name at the first slash, which indicates the end of the hostname and the beginning of the path. The computer then translates the path to DNS by first swapping the order of all names broken by the “/” character. For example, the computer can swap the order of the name components in “http://parc.com/videos/spencer/v1.mpeg” to create the string “v1.mpeg/spencer/videos.” Next, the computer replaces each “I” character for a period (“.”), and replaces each period (“.”) with a “/” character. Continuing the example above, the computer creates the string “v1/mpeg.spencer.videos.” The computer then appends the hostname to this string to create the valid full DNS name: “v1/mpeg.spencer.videos.parc.com.”


Translating from a URL form HTTP to DNS is a many-to-one translation, since the two URLs “http://parc.com/videos/spencer/v1.mpeg” and “http.//videos.parc.com/spencer/v1.mpeg” both translate to the same DNS content name “v1/mpeg.spencer.videos.parc.com.” This is fine for HTTP-to-DNS translation, but means that a computer would need more information to perform a DNS-to-HTTP. In some embodiments, a computer can use the HLN in the content to perform a DNS-to-HTTP translation. The HLN record includes an integer that denotes the length of the hostname component of the URL when translating a name from DNS to HTP.


To translate from DNS to HTTP, the computer first removes the hostname (as indicated by the HLN) from the DNS name. The remaining string is the HTTP path, which the computer can translate by performing the process described above for translating the path in reverse order. Continuing the example from above, when HLN=3, the DNS name “v1/mpeg.spencer.videos.parc.com” translates to “http://videos.parc.com/spencer/v1.mpeg.” Also, when HLN=2, the DNS name translates to “http://parc.com/videos/spencer/v1.mpeg.”


In some embodiments, CNR supports using other types of names that can be translated to a DNS-formatted name. Many different, potentially more user-friendly naming schemes can be designed and supported as long as they can be mapped to a DNS name. For example, a content centric network (CCN) naming scheme can be used for a named data object's name. The CCN name is hierarchical in nature and includes a set of name components ordered from most general to most specific. A fully-qualified CCN name starting at the root could resemble “ccn://com/parc/videos/spencer/v1.mpeg.” By designing a similar set of rules for name-translation as the ones above, a computer can translate this CCN name to the DNS name “v1/mpeg.spencer.videos.parc.com,” and then proceeds to resolve the content through CNR. This illustrates how CNR can be used to support different naming schemes and formats that can map to a hierarchical DNS string.


Content Name Resolution Servers



FIG. 4 presents a flow chart illustrating a method 400 for processing a query for a source to a named data object in accordance with an embodiment. During operation, a local CNR server can receive a query, from a client device, for a source to a named data object (operation 402). The local CNR server can determine a name prefix from the query (operation 404), and uses the name prefix to identify a cache server that has been assigned to the name prefix (operation 406), and to determine a content record specifying one or more authoritative sources for the name prefix (operation 408). The local CNR server then generates a query response that includes a network address for the cache server, and that includes the content record (operation 410), and returns the query response to the client device (operation 412).



FIG. 5 presents a flow chart illustrating a method 500 for selecting a cache server that is assigned to a name prefix in accordance with an embodiment. During operation, the local CNR server performs a lookup for a cache server associated with the name prefix (operation 502), and determines whether a cache server has been assigned to the name prefix (operation 504). If so, the local CNR server selects the assigned cache server to return to the client device (operation 506).


However, if a cache server has not been assigned to the name prefix, the local CNR server selects a cache server to assign to the name prefix (operation 508). For example, the local CNR server can select a cache server from a cache server pool using a predetermined selection algorithm. The selection algorithm can include a load-balancing function, a hashing function, or any other selection algorithm now known or later developed. The local CNR server binds the name prefix to the selected cache server (operation 510). The local CNR server can return this cache server to a client device that requests a named data object associated with the name prefix.



FIG. 6A presents a flow chart illustrating a method 600 for obtaining a content record for a name prefix in accordance with an embodiment. During operation, the local CNR server can perform a lookup operation for a content record associated with a name prefix (operation 602), and determines whether a content record exists (operation 604). If so, the local CNR server can generate a query response that includes the content record (operation 606).


However, if the local CNR server does not store a content record for the name prefix, the local CNR server can obtain the content record from an authoritative CNR server. For example, the local CNR server can identify an authoritative CNR server associated with at least a portion of the name prefix (operation 608), and sends a request for a content record associated with the name prefix to the authoritative CNR server (operation 610). Once the local CNR server receives a content record for the name prefix (operation 612), the local CNR server can store the content record in association with the name prefix (operation 614), and proceeds to operation 606 to generate a query response that includes the content record.



FIG. 6B presents a flow chart illustrating a method 650 for dynamically generating a content record for a name prefix in accordance with an embodiment. During operation, the authoritative CNR server can receive, from a local CNR server, a request for a content record associated with a name prefix (operation 652). The authoritative CNR server then selects one or more content servers associated with the name prefix, which the authoritative CNR server selects for the local CNR server (operation 654).


In some embodiments, the authoritative CNR server can select the content servers by computing one or more performance metrics for the content servers, and selecting the content servers whose performance metric values are above a predetermined threshold. These performance metrics can include, for example, a distance-related metric between the local CNR server and the content server, such as a hop count between the CNR server and the sources, a physical distance between the CNR server and the sources, and a network latency between the CNR server and the sources. The performance metrics can also include other metrics related to the content server, such as an available network bandwidth for the sources, a processing delay at the sources, an average load at the sources, and/or any other metrics now known or later developed.


The authoritative CNR server then generates a base content record for the name prefix (operation 656), and generates the content record by updating the base content record to include the selected content servers (operation 658). In some embodiments, the authoritative CNR server can insert the set of content servers into the content record using a sorted list, such that the list is sorted based on one or more performance metrics. The authoritative server then sends the content record to the local CNR server (operation 670).


Cache Server



FIG. 7 presents a flow chart illustrating a method 700 for processing a query at a cache server in accordance with an embodiment. During operation, the cache server can receive a request for a named data object from a client device (operation 702), and obtains a name prefix from the request (operation 704). The cache server then determines whether the cache server stores a named data object whose name matches the name prefix (operation 706). If so, the cache server can return the matching named data object to the client device (operation 708).


However, if the cache server does not store a matching named data object, the cache server can determine a network address to an authoritative source from the request (operation 710), and sends a request for the named data object to the authoritative source (operation 712). Recall that the client device can include a content record from a CNR server in the request. In some embodiments, the cache server obtains the content record from the request, and analyzes the content record to obtain one or more network address to the authoritative sources. Once the cache server receives the requested named data object (operation 714), the cache server stores the named data object in the cache (operation 716), and proceeds to operation 708 to return the named data object to the client device.


CNR-Based Content Replication


A significant problem with HTTP and DNS is that neither protocol provides native mechanisms for replicating content across multiple servers, either through mirrors, caches, or CDNs. This forces application developers to develop systems to perform content replication and load balancing for Web services, on top of the HTTP and DNS framework. The CNR system of the present invention provides native support for efficient content replication and distribution, which can serve as groundwork for implementing an information centric network.


The CNR system separates the content replication and distribution topology from the name resolution topology (e.g., DNS). The content replication and distribution topology can include CDNs, mirrors, and HTTP caches. Mirrors can include long-lived content replicas intended to help ease the load on the content publisher. On the other hand, caches can include short-lived replicas, located near the edge of the network, and designed primarily to reduce network bandwidth by fulfilling local requests for the content.


In some embodiments, the CNR system implements a security model for authenticating and securing content, and content records. This makes it possible to implement a secure ICN, which allows for content to come from any source. For example, the CNR content record implements object-level security via an object security field, and provides record-level security via a record security field. Hence, a person or an organization can publish a named data object by creating a valid content record for the named data object, and publishing this content record to an authoritative CNR server. This valid content record can specify one or more sources for the named data object, and includes a valid object security field that secures the named data object, as well as a valid record security field that secures the content record.


Once the person or organization has uploaded the content record to the authoritative CNR server, it is possible for others to mirror the named data object. For example, other people or their server computers can insert additional IP addresses to the existing content record at the authoritative CNR server. These additional IP addresses can correspond to one or more servers that mirror the named data, such as at an FTP or HTTP server.


Mirroring


In CNR, any host wishing to mirror a piece of content may do so by registering itself as a mirror for the content through the CNR system. This registration process adds an address record for the new server without changing the base content record. This preserves the name of the content and associates the mirror with the content, making the content instantly accessible to applications resolving the name through the CNR system.


From a security standpoint, it is important to distinguish between entities that publish new content from entities that mirror existing content. A party that publishes a new data object needs to create a new base content record, and the authoritative CNR server must ensure that this party has the right to do so. For example, only Spencer should be allowed to publish base content records under the prefix “/parc/videos/spencer.”


In contrast, this same restriction does not apply to parties wishing to mirror content. Often times, content mirrors arise out of immediate necessity, and sometimes the content publisher is either unaware, cannot be contacted during this time, or does not have the necessary resources to scale up at the moment. Thus, other entities may be allowed to append their address to an existing content record without the explicit permission of the publisher. A client device can use the object security field, which can include a hash or checksum of the content object, to verify that the content is accurate, regardless of the content's source. Since only the publisher may create or edit the content hash field, malicious or illegitimate hosts may successfully register themselves as mirrors and deliver malicious content. However, the client will easily be able to verify that this content is not legitimate using the object security field.


Content Delivery Networks (CDNs)


The CNR system can support other complex content replication schemes, such as content delivery networks (CDNs). A content publisher can employ a CDN to optimize content delivery over a given geographic region, or worldwide. The CNR system can provide integrated support for CDNs by taking advantage of the dynamic record generation. For example, in addition to local DNS servers generating addresses that correspond to local CDNs or HTP caches, the authoritative DNS server itself can localize responses by providing the address of a particular set of CDN servers, as opposed to the publisher's server.


Caching


CDNs and mirrors typically maintain long-lived replicas of the content, and are intended to reduce the load on the content publisher. In contrast, cached content may be short-lived or long-lived, and are intended primarily to reduce network traffic and latency by providing clients a recently-fetched copy of the content. The CNR system accomplishes caching by combining two previously independent systems: local DNS caches and local content caches.


CNR requests are first sent to a local CNR server, which may be associated with one or more caching servers. If a CNR server does have an associated caching server, the CNR server can check for a DNS cache-hit before resolving the name through the DNS. The local CNR server checks for a cache-hit for a name prefix, such that a cache-hit corresponds to a local HTTP proxy having a cached copy of the content itself. In this case, the local CNR server dynamically generates and returns a content record with the address of the content cache.


This implementation achieves a better understanding of client locality than typical CDNs, because the local CNR server knows the exact IP address of the client issuing the request. Typical CDNs are only able to localize content to the address of the local DNS server. Also, because the local CNR server is aware of the content cache, the CNR server can send the client directly to the cache itself. This is different from typical DNS requests that always return the address of the publisher, and HTTP proxies must be placed directly along this path to redirect a client to a cache server.



FIG. 8 illustrates an exemplary apparatus 800 that facilitates retrieving a named data object based on a name prefix in accordance with an embodiment. Apparatus 800 can comprise a plurality of modules which may communicate with one another via a wired or wireless communication channel or any other communication method now known or later developed. Apparatus 800 may be realized using one or more integrated circuits, and may include fewer or more modules than those shown in FIG. 8. Further, apparatus 800 may be integrated in a computer system, or realized as a separate device which is capable of communicating with other computer systems and/or devices. Specifically, apparatus 800 can comprise a query-processing module 802, a cache-selecting module 804, a content record lookup module 806, and a communication module 802.


In some embodiments, query-processing module 802 can process a query from a client device for a source to a named data object. Cache-selecting module 804 can identify a cache server that corresponds to the named data object's name prefix. Content record lookup module 806 can obtain a content record specifying one or more sources associated with the named data object's name prefix. Communication module 808 can receive a query from the client device, and can return the content record to the client device.



FIG. 9 illustrates an exemplary computer system 902 that facilitates retrieving a named data object based on a name prefix in accordance with an embodiment. Computer system 902 includes a processor 904, a memory 906, and a storage device 908. Memory 906 can include a volatile memory (e.g., RAM) that serves as a managed memory, and can be used to store one or more memory pools. Furthermore, computer system 902 can be coupled to a display device 910, a keyboard 912, and a pointing device 914. Storage device 908 can store operating system 916, content name resolution (CNR) system 918, and data 928.


CNR system 918 can include instructions, which when executed by computer system 902, can cause computer system 902 to perform methods and/or processes described in this disclosure. Specifically, CNR system 918 may include instructions for processing a query from a client device for a source to a named data object (query-processing module 920). Further, CNR system 918 can include instructions for identifying a cache server that corresponds to the named data object's name prefix (cache-selecting module 922), and can include instructions for obtaining a content record specifying one or more sources associated with the named data object's name prefix (content record lookup module 924). CNR system 918 can also include instructions for receiving a query from the client device, and for returning the content record to the client device (communication module 926).


Data 928 can include any data that is required as input or that is generated as output by the methods and/or processes described in this disclosure. Specifically, data 928 can store at least content records for a set of named data objects, and a mapping table that associates name prefixes to one or more cache servers.


The data structures and code described in this detailed description are typically stored on a computer-readable storage medium, which may be any device or medium that can store code and/or data for use by a computer system. The computer-readable storage medium includes, but is not limited to, volatile memory, non-volatile memory, magnetic and optical storage devices such as disk drives, magnetic tape, CDs (compact discs), DVDs (digital versatile discs or digital video discs), or other media capable of storing computer-readable media now known or later developed.


The methods and processes described in the detailed description section can be embodied as code and/or data, which can be stored in a computer-readable storage medium as described above. When a computer system reads and executes the code and/or data stored on the computer-readable storage medium, the computer system performs the methods and processes embodied as data structures and code and stored within the computer-readable storage medium.


Furthermore, the methods and processes described above can be included in hardware modules. For example, the hardware modules can include, but are not limited to, application-specific integrated circuit (ASIC) chips, field-programmable gate arrays (FPGAs), and other programmable-logic devices now known or later developed. When the hardware modules are activated, the hardware modules perform the methods and processes included within the hardware modules.


The foregoing descriptions of embodiments of the present invention have been presented for purposes of illustration and description only. They are not intended to be exhaustive or to limit the present invention to the forms disclosed. Accordingly, many modifications and variations will be apparent to practitioners skilled in the art. Additionally, the above disclosure is not intended to limit the present invention. The scope of the present invention is defined by the appended claims.

Claims
  • 1. A computer-implemented method, comprising: receiving, by a content name resolution server in a computer network, a first request for a named data object, wherein the first request includes a first name for the named data object;sending, by the content name resolution server, a content record to a client device, wherein the content record includes an indication of a content delivery protocol and a hostname length number associated with the content delivery protocol;translating, by the client device, based on the hostname length number, the first name for the named data object into a second name for the named data object using the content delivery protocol, wherein portions of a string of the first name, beyond a length of the hostname length number, are placed in reverse order to obtain the second name;sending a second request for the named data object to a cache server, wherein the second request includes the second name;determining whether the cache server stores the named data object;responsive to determining that the cache server does not store the named data object, sending a third request for the named data object to a source associated with the second name; andresponsive to receiving the named data object from the source, sending the named data object to the client device so as to resolve the first request for the named data object.
  • 2. The method of claim 1, further comprising: responsive to receiving the named data object from the specified source, storing the named data object.
  • 3. The method of claim 1, wherein the content record includes the name for the named data object.
  • 4. The method of claim 1, wherein the content record includes two or more sources associated with a name prefix for the named data object, wherein the content record further includes a list of addresses of the sources, wherein the addresses of the sources in the list are sorted based on a predetermined rule.
  • 5. The method of claim 1, further comprising: obtaining a name prefix from the request.
  • 6. The method of claim 1, further comprising: sending the named data object, responsive to determining that the cache server stores the named data object.
  • 7. The method of claim 1, wherein the content record includes an address of the source.
  • 8. An apparatus, comprising: a processor; anda memory,wherein the processor is configured to:send a first request in a computer network for a named data object, wherein the first request includes a first name for the named data object, and in response receive a content record, wherein the content record includes an indication of a content delivery protocol and a hostname length number associated with the content delivery protocol;translate, based on the hostname length number, the first name for the named data object into a second name for the named data object using the content delivery protocol, wherein portions of a string of the first name, beyond a length of the hostname length number, are placed in reverse order to obtain the second name;send a second request for the named data object to a cache server, wherein the second request includes the second name; andreceive the named data object from the cache server so as to resolve the first request for the named data object.
  • 9. The apparatus of claim 8, wherein the content record includes the name for the named data object.
  • 10. The apparatus of claim 8, wherein the content record includes two or more sources associated with a name prefix for the named data object, wherein the content record further includes a list of addresses of sources, wherein the addresses of the sources in the list are sorted based on a predetermined rule.
  • 11. The apparatus of claim 8, wherein the processor is further configured to obtain a name prefix from the request.
  • 12. The apparatus of claim 8, wherein the content record includes an address of a source for the named data object.
  • 13. A non-transitory, computer-readable storage medium storing instructions that, when executed by a computer, cause the computer to perform a method comprising: sending, by a client device in a computer network, a first request for a named data object, wherein the first request includes a first name for the named data object, and, in response receive a content record, wherein the content record includes an indication of a content delivery protocol and a hostname length number associated with the content delivery protocol;translating, based on the hostname length number, the first name for the named data object into a second name for the named data object using the content delivery protocol, wherein portions of a string of the first name, beyond a length of the hostname length number, are placed in reverse order to obtain the second name;send a second request for the named data object to a cache server, wherein the second request includes the second name; andreceiving the named data object from the source cache server so as to resolve the first request for the named data object.
  • 14. The storage medium of claim 13, wherein the content record includes the name for the named data object.
  • 15. The storage medium of claim 13, wherein the content record includes two or more sources associated with a name prefix for the named data object, wherein the content record further includes a list of addresses of sources for the named data object, wherein the addresses of the sources in the list are sorted based on a predetermined rule.
  • 16. The storage medium of claim 13 the method further comprising: obtaining a name prefix from the request.
  • 17. The storage medium of claim 13, wherein the content record includes an address of a source for the named data object.
Parent Case Info

This is a continuation patent application of (and claims the benefit of priority under 35 U.S.C. § 120) of U.S. application Ser. No. 14/194,147, filed Feb. 28, 2014, entitled “CONTENT NAME RESOLUTION FOR INFORMATION CENTRIC NETWORKING,” by inventors Spencer Sevilla, et al., issued on Jun. 13, 2017 as U.S. Pat. No. 9,678,998. The disclosure of the prior application is considered part of and is incorporated by reference in the disclosure of this application in its entirety.

US Referenced Citations (394)
Number Name Date Kind
817441 Niesz Apr 1906 A
4309569 Merkle Jan 1982 A
4921898 Lenney May 1990 A
5070134 Oyamada Dec 1991 A
5110856 Oyamada May 1992 A
5506844 Rao Apr 1996 A
5629370 Freidzon May 1997 A
5870605 Bracho Feb 1999 A
6052683 Irwin Apr 2000 A
6091724 Chandra Jul 2000 A
6173364 Zenchelsky Jan 2001 B1
6226618 Downs May 2001 B1
6233646 Hahm May 2001 B1
6332158 Risley Dec 2001 B1
6366988 Skiba Apr 2002 B1
6574377 Cahill Jun 2003 B1
6654792 Verma Nov 2003 B1
6667957 Corson Dec 2003 B1
6681220 Kaplan Jan 2004 B1
6681326 Son Jan 2004 B2
6769066 Botros Jul 2004 B1
6772333 Brendel Aug 2004 B1
6862280 Bertagna Mar 2005 B1
6901452 Bertagna May 2005 B1
6917985 Madruga Jul 2005 B2
6968393 Chen Nov 2005 B1
6981029 Menditto Dec 2005 B1
7013389 Srivastava Mar 2006 B1
7031308 Garcia-Luna-Aceves Apr 2006 B2
7061877 Gummalla Jun 2006 B1
7206860 Murakami Apr 2007 B2
7257837 Xu Aug 2007 B2
7287275 Moskowitz Oct 2007 B2
7315541 Housel Jan 2008 B1
7339929 Zelig Mar 2008 B2
7350229 Lander Mar 2008 B1
7382787 Barnes Jun 2008 B1
7444251 Nikovski Oct 2008 B2
7466703 Arunachalam Dec 2008 B1
7472422 Agbabian Dec 2008 B1
7496668 Hawkinson Feb 2009 B2
7509425 Rosenberg Mar 2009 B1
7523016 Surdulescu Apr 2009 B1
7543064 Juncker Jun 2009 B2
7552233 Raju Jun 2009 B2
7555482 Korkus Jun 2009 B2
7555563 Ott Jun 2009 B2
7567547 Mosko Jul 2009 B2
7567946 Andreoli Jul 2009 B2
7580971 Gollapudi Aug 2009 B1
7623535 Guichard Nov 2009 B2
7644108 Malmskog Jan 2010 B1
7647507 Feng Jan 2010 B1
7660324 Oguchi Feb 2010 B2
7685290 Satapati Mar 2010 B2
7698463 Ogier Apr 2010 B2
7769887 Bhattacharyya Aug 2010 B1
7779467 Choi Aug 2010 B2
7801177 Luss Sep 2010 B2
7816441 Elizalde Oct 2010 B2
7831733 Sultan Nov 2010 B2
7908337 Garcia-Luna-Aceves Mar 2011 B2
7924837 Shabtay Apr 2011 B1
7953885 Devireddy May 2011 B1
8000267 Solis Aug 2011 B2
8010691 Kollmansberger Aug 2011 B2
8074289 Carpentier Dec 2011 B1
8117441 Kurien Feb 2012 B2
8160069 Jacobson Apr 2012 B2
8204060 Jacobson Jun 2012 B2
8214364 Bigus Jul 2012 B2
8224985 Takeda Jul 2012 B2
8225057 Zheng Jul 2012 B1
8271578 Sheffi Sep 2012 B2
8312064 Gauvin Nov 2012 B1
8386622 Jacobson Feb 2013 B2
8467297 Liu Jun 2013 B2
8553562 Allan Oct 2013 B2
8572214 Garcia-Luna-Aceves Oct 2013 B2
8654649 Vasseur Feb 2014 B2
8665757 Kling Mar 2014 B2
8667172 Ravindran Mar 2014 B2
8688619 Ezick Apr 2014 B1
8699350 Kumar Apr 2014 B1
8750820 Allan Jun 2014 B2
8761022 Chiabaut Jun 2014 B2
8762477 Xie Jun 2014 B2
8762570 Qian Jun 2014 B2
8762707 Killian Jun 2014 B2
8767627 Ezure Jul 2014 B2
8817594 Gero Aug 2014 B2
8826381 Kim Sep 2014 B2
8832302 Bradford Sep 2014 B1
8836536 Marwah Sep 2014 B2
8862774 Vasseur Oct 2014 B2
8903756 Zhao Dec 2014 B2
8903758 Zhao Dec 2014 B2
8937865 Kumar Jan 2015 B1
9071498 Beser Jun 2015 B2
9112895 Lin Aug 2015 B1
9639634 Greene May 2017 B1
20020010795 Brown Jan 2002 A1
20020038296 Margolus et al. Mar 2002 A1
20020048269 Hong Apr 2002 A1
20020054593 Morohashi May 2002 A1
20020077988 Sasaki Jun 2002 A1
20020078066 Robinson Jun 2002 A1
20020138551 Erickson Sep 2002 A1
20020176404 Girard Nov 2002 A1
20020188605 Adya Dec 2002 A1
20020199014 Yang Dec 2002 A1
20030046437 Eytchison Mar 2003 A1
20030048793 Pochon Mar 2003 A1
20030051100 Patel Mar 2003 A1
20030074472 Lucco Apr 2003 A1
20030097447 Johnston May 2003 A1
20030099237 Mitra et al. May 2003 A1
20030140257 Paterka Jul 2003 A1
20040024879 Dingman Feb 2004 A1
20040030602 Rosenquist Feb 2004 A1
20040073715 Folkes Apr 2004 A1
20040139230 Kim Jul 2004 A1
20040221047 Grover Nov 2004 A1
20040225627 Botros Nov 2004 A1
20040252683 Kennedy Dec 2004 A1
20050003832 Osafune Jan 2005 A1
20050028156 Hammond Feb 2005 A1
20050043060 Brandenberg Feb 2005 A1
20050050211 Kaul Mar 2005 A1
20050074001 Mattes Apr 2005 A1
20050149508 Deshpande Jul 2005 A1
20050159823 Hayes Jul 2005 A1
20050198351 Nog Sep 2005 A1
20050249196 Ansari Nov 2005 A1
20050259637 Chu Nov 2005 A1
20050262217 Nonaka Nov 2005 A1
20050289222 Sahim Dec 2005 A1
20060010249 Sabesan Jan 2006 A1
20060029102 Abe Feb 2006 A1
20060039379 Abe Feb 2006 A1
20060051055 Ohkawa Mar 2006 A1
20060072523 Richardson Apr 2006 A1
20060099973 Nair May 2006 A1
20060129514 Watanabe Jun 2006 A1
20060133343 Huang Jun 2006 A1
20060173831 Basso Aug 2006 A1
20060193295 White Aug 2006 A1
20060206445 Andreoli Sep 2006 A1
20060215684 Capone Sep 2006 A1
20060223504 Ishak Oct 2006 A1
20060256767 Suzuki Nov 2006 A1
20060268792 Belcea Nov 2006 A1
20070019619 Foster Jan 2007 A1
20070073888 Madhok Mar 2007 A1
20070094265 Korkus Apr 2007 A1
20070112880 Yang May 2007 A1
20070124412 Narayanaswami May 2007 A1
20070127457 Mirtorabi Jun 2007 A1
20070160062 Morishita Jul 2007 A1
20070162394 Zager Jul 2007 A1
20070189284 Kecskemeti Aug 2007 A1
20070195765 Heissenbuttel Aug 2007 A1
20070204011 Shaver Aug 2007 A1
20070209067 Fogel Sep 2007 A1
20070239892 Ott Oct 2007 A1
20070240207 Belakhdar Oct 2007 A1
20070245034 Retana Oct 2007 A1
20070253418 Shiri Nov 2007 A1
20070255677 Alexander et al. Nov 2007 A1
20070255699 Sreenivas Nov 2007 A1
20070255781 Li Nov 2007 A1
20070274504 Maes Nov 2007 A1
20070276907 Maes Nov 2007 A1
20070294187 Scherrer Dec 2007 A1
20080005056 Stelzig Jan 2008 A1
20080010366 Duggan Jan 2008 A1
20080037420 Tang Feb 2008 A1
20080043989 Furutono Feb 2008 A1
20080046340 Brown Feb 2008 A1
20080059631 Bergstrom Mar 2008 A1
20080080440 Yarvis Apr 2008 A1
20080101357 Iovanna May 2008 A1
20080107034 Jetcheva May 2008 A1
20080123862 Rowley May 2008 A1
20080133583 Artan Jun 2008 A1
20080133755 Pollack Jun 2008 A1
20080151755 Nishioka Jun 2008 A1
20080159271 Kutt Jul 2008 A1
20080186901 Itagaki Aug 2008 A1
20080200153 Fitzpatrick Aug 2008 A1
20080215669 Gaddy Sep 2008 A1
20080216086 Tanaka Sep 2008 A1
20080243992 Jardetzky Oct 2008 A1
20080256359 Kahn Oct 2008 A1
20080270618 Rosenberg Oct 2008 A1
20080271143 Stephens Oct 2008 A1
20080287142 Keighran Nov 2008 A1
20080288580 Wang Nov 2008 A1
20080320148 Capuozzo Dec 2008 A1
20090006659 Collins Jan 2009 A1
20090013324 Gobara Jan 2009 A1
20090022154 Kiribe Jan 2009 A1
20090024641 Quigley Jan 2009 A1
20090030978 Johnson Jan 2009 A1
20090037763 Adhya Feb 2009 A1
20090052660 Chen Feb 2009 A1
20090067429 Nagai Mar 2009 A1
20090077184 Brewer Mar 2009 A1
20090092043 Lapuh Apr 2009 A1
20090097631 Gisby Apr 2009 A1
20090103515 Pointer Apr 2009 A1
20090113068 Fujihira Apr 2009 A1
20090144300 Chatley Jun 2009 A1
20090157887 Froment Jun 2009 A1
20090185745 Momosaki Jul 2009 A1
20090193101 Munetsugu Jul 2009 A1
20090222344 Greene Sep 2009 A1
20090228593 Takeda Sep 2009 A1
20090254572 Redlich Oct 2009 A1
20090268905 Matsushima Oct 2009 A1
20090285209 Stewart Nov 2009 A1
20090287835 Jacobson Nov 2009 A1
20090288163 Jacobson Nov 2009 A1
20090292743 Bigus Nov 2009 A1
20090293121 Bigus Nov 2009 A1
20090300079 Shitomi Dec 2009 A1
20090300407 Kamath Dec 2009 A1
20090307333 Welingkar Dec 2009 A1
20090323632 Nix Dec 2009 A1
20100005061 Basco Jan 2010 A1
20100027539 Beverly Feb 2010 A1
20100046546 Ram Feb 2010 A1
20100057929 Merat Mar 2010 A1
20100088370 Wu Apr 2010 A1
20100094767 Miltonberger Apr 2010 A1
20100098093 Ejzak Apr 2010 A1
20100100465 Cooke Apr 2010 A1
20100103870 Garcia-Luna-Aceves Apr 2010 A1
20100124191 Vos May 2010 A1
20100125911 Bhaskaran May 2010 A1
20100131660 Dec May 2010 A1
20100150155 Napierala Jun 2010 A1
20100165976 Khan Jul 2010 A1
20100169478 Saha Jul 2010 A1
20100169503 Kollmansberger Jul 2010 A1
20100180332 Ben-Yochanan Jul 2010 A1
20100182995 Hwang Jul 2010 A1
20100185753 Liu Jul 2010 A1
20100195653 Jacobson Aug 2010 A1
20100195654 Jacobson Aug 2010 A1
20100195655 Jacobson Aug 2010 A1
20100217874 Anantharaman Aug 2010 A1
20100232402 Przybysz Sep 2010 A1
20100232439 Dham Sep 2010 A1
20100235516 Nakamura Sep 2010 A1
20100246549 Zhang Sep 2010 A1
20100250497 Redlich Sep 2010 A1
20100250939 Adams Sep 2010 A1
20100268782 Zombek Oct 2010 A1
20100272107 Papp Oct 2010 A1
20100284309 Allan Nov 2010 A1
20100284404 Gopinath Nov 2010 A1
20100293293 Beser Nov 2010 A1
20100322249 Thathapudi Dec 2010 A1
20110013637 Xue Jan 2011 A1
20110022812 vanderLinden Jan 2011 A1
20110055392 Shen Mar 2011 A1
20110055921 Narayanaswamy Mar 2011 A1
20110060716 Forman et al. Mar 2011 A1
20110060717 Forman et al. Mar 2011 A1
20110090908 Jacobson Apr 2011 A1
20110106755 Hao May 2011 A1
20110145597 Yamaguchi Jun 2011 A1
20110145858 Philpott Jun 2011 A1
20110153840 Narayana Jun 2011 A1
20110161408 Kim Jun 2011 A1
20110202609 Chaturvedi Aug 2011 A1
20110231578 Nagappan Sep 2011 A1
20110239256 Gholmieh Sep 2011 A1
20110258049 Ramer Oct 2011 A1
20110264824 Venkata Subramanian Oct 2011 A1
20110265174 Thornton Oct 2011 A1
20110271007 Wang Nov 2011 A1
20110286457 Ee Nov 2011 A1
20110286459 Rembarz Nov 2011 A1
20110295783 Zhao Dec 2011 A1
20110299454 Krishnaswamy Dec 2011 A1
20120011170 Elad Jan 2012 A1
20120011551 Levy Jan 2012 A1
20120036180 Thornton Feb 2012 A1
20120047361 Erdmann Feb 2012 A1
20120066727 Nozoe Mar 2012 A1
20120106339 Mishra May 2012 A1
20120114313 Phillips May 2012 A1
20120120803 Farkas May 2012 A1
20120136676 Goodall May 2012 A1
20120136936 Quintuna May 2012 A1
20120136945 Lee May 2012 A1
20120137367 Dupont May 2012 A1
20120141093 Yamaguchi Jun 2012 A1
20120155464 Kim Jun 2012 A1
20120158973 Jacobson Jun 2012 A1
20120163373 Lo Jun 2012 A1
20120179653 Araki Jul 2012 A1
20120197690 Agulnek Aug 2012 A1
20120198048 Ioffe Aug 2012 A1
20120221150 Arensmeier Aug 2012 A1
20120224487 Hui Sep 2012 A1
20120233182 Baudel Sep 2012 A1
20120257500 Lynch Oct 2012 A1
20120284791 Miller Nov 2012 A1
20120290669 Parks Nov 2012 A1
20120290919 Melnyk Nov 2012 A1
20120291102 Cohen Nov 2012 A1
20120314580 Hong Dec 2012 A1
20120317307 Ravindran Dec 2012 A1
20120331112 Chatani Dec 2012 A1
20130041982 Shi Feb 2013 A1
20130051392 Filsfils Feb 2013 A1
20130060962 Wang Mar 2013 A1
20130073552 Rangwala Mar 2013 A1
20130074155 Huh Mar 2013 A1
20130091539 Khurana Apr 2013 A1
20130110987 Kim May 2013 A1
20130111063 Lee May 2013 A1
20130124466 Naidu May 2013 A1
20130151584 Westphal Jun 2013 A1
20130163426 Beliveau Jun 2013 A1
20130166668 Byun Jun 2013 A1
20130173822 Hong Jul 2013 A1
20130182568 Lee Jul 2013 A1
20130185406 Choi Jul 2013 A1
20130191412 Kitamura Jul 2013 A1
20130197698 Shah Aug 2013 A1
20130198119 Eberhardt, III Aug 2013 A1
20130219038 Lee Aug 2013 A1
20130219081 Qian Aug 2013 A1
20130219478 Mahamuni Aug 2013 A1
20130223237 Hui Aug 2013 A1
20130227166 Ravindran Aug 2013 A1
20130242996 Varvello Sep 2013 A1
20130250809 Hui Sep 2013 A1
20130282854 Jang Oct 2013 A1
20130282860 Zhang Oct 2013 A1
20130282920 Zhang Oct 2013 A1
20130304937 Lee Nov 2013 A1
20130329696 Xu Dec 2013 A1
20130336323 Srinivasan Dec 2013 A1
20130343408 Cook Dec 2013 A1
20130346414 Smith Dec 2013 A1
20140003232 Guichard Jan 2014 A1
20140006565 Muscariello Jan 2014 A1
20140029445 Hui Jan 2014 A1
20140032714 Liu Jan 2014 A1
20140040505 Barton Feb 2014 A1
20140074730 Arensmeier Mar 2014 A1
20140075567 Raleigh Mar 2014 A1
20140082135 Jung Mar 2014 A1
20140089454 Jeon Mar 2014 A1
20140096249 Dupont Apr 2014 A1
20140115037 Liu Apr 2014 A1
20140129736 Yu May 2014 A1
20140136814 Stark May 2014 A1
20140140348 Perlman May 2014 A1
20140143370 Vilenski May 2014 A1
20140146819 Bae May 2014 A1
20140149733 Kim May 2014 A1
20140156396 deKozan Jun 2014 A1
20140165207 Engel Jun 2014 A1
20140172783 Suzuki Jun 2014 A1
20140172981 Kim Jun 2014 A1
20140173034 Liu Jun 2014 A1
20140192717 Liu Jul 2014 A1
20140195328 Ferens Jul 2014 A1
20140195666 Dumitriu Jul 2014 A1
20140233575 Xie Aug 2014 A1
20140237085 Park Aug 2014 A1
20140245359 De Foy et al. Aug 2014 A1
20140280823 Varvello Sep 2014 A1
20140281489 Peterka Sep 2014 A1
20140281505 Zhang Sep 2014 A1
20140282816 Xie Sep 2014 A1
20140289325 Solis Sep 2014 A1
20140289790 Wilson Sep 2014 A1
20140314093 You Oct 2014 A1
20140365550 Jang Dec 2014 A1
20150006896 Franck Jan 2015 A1
20150018770 Baran Jan 2015 A1
20150032892 Narayanan Jan 2015 A1
20150063802 Bahadur Mar 2015 A1
20150095481 Ohnishi Apr 2015 A1
20150095514 Yu Apr 2015 A1
20150188770 Naiksatam Jul 2015 A1
20160110466 Uzun Apr 2016 A1
Foreign Referenced Citations (15)
Number Date Country
1720277 Jun 1967 DE
19620817 Nov 1997 DE
0295727 Dec 1988 EP
0757065 Jul 1996 EP
1077422 Feb 2001 EP
1384729 Jan 2004 EP
2124415 Nov 2009 EP
2214357 Aug 2010 EP
03005288 Jan 2003 WO
03042254 May 2003 WO
03049369 Jun 2003 WO
03091297 Nov 2003 WO
2007113180 Oct 2007 WO
2007144388 Dec 2007 WO
2011049890 Apr 2011 WO
Non-Patent Literature Citations (147)
Entry
Wetherall, David, “Active Network vision and reality: Lessons form a capsule-based system”, ACM Symposium on Operating Systems Principles, Dec. 1, 1999, pp. 64-79.
Kulkarni, A.B. et al., “Implementation of a prototype active network”, IEEE, Open Architectures and Network Programming, Apr. 3, 1998, pp. 130-142.
Hoque et al., “NLSR: Named-data Link State Routing Protocol”, Aug. 12, 2013, ICN'13.
Nadeem Javaid, “Analysis and design of quality link metrics for routing protocols in Wireless Networks”, PhD Thesis Defense, Dec. 15, 2010, Universete Paris⋅Est.
Beben et al., “Content Aware Network based on Virtual Infrastructure”, 2012 13th ACIS International Conference on Software Engineering.
Biradar et al., “Review of multicast routing mechanisms in mobile ad hoc networks”, Aug. 16, Journal of Network$.
Detti et al., “Supporting the Web with an information centric network that routes by name”, Aug. 2012, Computer Networks 56, pp. 3705-3702.
Garcia-Luna-Aceves et al., “Automatic Routing Using Multiple Prefix Labels”, 2012, IEEE, Ad Hoc and Sensor Networking Symposium.
Hoque et al., ‘NLSR: Named-data Link State Routing Protocol’, Aug. 12, 2013, ICN 2013, pp. 15-20.
Ishiyama, “On the Effectiveness of Diffusive Content Caching in Content-Centric Networking”, Nov. 5, 2012, IEEE, Information and Telecommunication Technologies (APSITT), 2012 9th Asia-Pacific Symposium.
L. Wang et al., ‘OSPFN: An OSPF Based Routing Protocol for Named Data Networking,’ Technical Report NDN-0003, 2012.
Merindol et al., “An efficient algorithm to enable path diversity in link state routing networks”, Jan. 10, Computer Networks 55 (2011), pp. 1132-1140.
Soh et al., “Efficient Prefix Updates for IP Router Using Lexicographic Ordering and Updateable Address Set”, Jan. 2008, IEEE Transactions On Computers, vol. 57, No. 1.
V. Jacobson et al., ‘Networking Named Content,’ Proc. IEEE CoNEXT '09, Dec. 2009.
Jacobson, Van et al., “Content-Centric Networking, Whitepaper Describing Future Assurable Global Networks”, Palo Alto Research Center, Inc., Jan. 30, 2007, pp. 1-9.
Koponen, Teemu et al., “A Data-Oriented (and Beyond) Network Architecture”, SIGCOMM '07, Aug. 27-31, 2007, Kyoto, Japan, XP-002579021, p. 181-192.
Ao-Jan Su, David R. Choffnes, Aleksandar Kuzmanovic, and Fabian E. Bustamarie, Drafting Behind Akamai: Inferring Network Conditions Based on CDN Redirections. IEEE/ACM Transactions on Networking (Feb. 2009).
B. Lynn, The Pairing-Based Cryptography Library, http://crypto.stanford.edu/pbc/.
C. Gentry and A. Silverberg, Hierarchical ID-Based Cryptography, Advances in Cryptology—ASIACRYPT 2002. Springer Berlin Heidelberg (2002).
D. Boneh et al., “Collusion Resistant Broadcast Encryption With Short Ciphertexts and Private Keys”, In proceedings of Crypto '05, LNCS 3621, pp. 258-275, 2005, Feb. 2005, 19 pages.
D. Boneh and M. Franklin. Identity-Based Encryption from the Well Pairing, Advances in Cryptology—CRYPTO 2001, vol. 2139, Springer Berlin Heidelberg (2001).
G. Ateniese, K. Fu, M. Green, and S. Hohenberger. Improved Proxy Reencryption Schemes with Applications to Secure Distributed Storage. In the 12th Annual Network and Distributed System Security Symposium (2005).
H. Xiong, X. Zhang, W. Zhu, and D. Yao. CloudSeal: End-to-End Content Protection in Cloud-based Storage and Delivery Services, Security and Privacy in Communication Networks. Springer Berlin Heidelberg (2012).
J. Bethencourt, A, Sahai, and B. Waters, ‘Ciphertext-policy attribute-based encryption,’ in Proc. IEEE Security & Privacy 2007, Berkeley, CA, USA, May 2007, pp. 321-334.
J. Lotspiech, S. Nusser, and F. Pestoni. Anonymous Trust: Digital Rights Management using Broadcast Encryption. Proceedings of the IEEE 92.6 (2004).
J. Shao and Z. Cao. CCA-Secure Proxy Re-Encryption without Pairings. Public Key Cryptography. Springer Lecture Notes in Computer Sciencevol. 5443 (2009).
M. Blaze, G. Bleumer, and M. Strauss, ‘Divertible protocols and atomic prosy cryptography,’ in Proc. EUROCRYPT 1998, Espoo, Finland, May-Jun. 1998, pp. 127-144.
R. H. Deng, J. Weng, S. Liu, and K. Chen. Chosen-Ciphertext Secure Proxy Re-Encryption without Pairings. CANS. Spring Lecture Notes in Computer Science vol. 5339 (2008).
RTMP (2009), Available online at http://wwwimages.adobe.com/www.adobe.com/content/dam/Adobe/en/devnet/rtmp/ pdf/rtmp specification 1.0.pdf.
S. Chow, J. Weng, Y. Yang, and R. Deng. Efficient Unidirectional Proxy Re-Encryption. Progress in Cryptology—AFRICACRYPT 2010. Springer Berlin Heidelberg (2010).
S. Kamara and K. Lauter. Cryptographic Cloud Storage. Financial Cryptography and Data Security. Springer Berlin Heidelberg (2010).
Sandvine, Global Internet Phenomena Report—Spring 2012. Located online at http://www.sandvine.com/downloads/ documents/Phenomenal H 2012/Sandvine Global Internet Phenomena Report 1H 2012.pdf.
The Despotify Project (2012). Available online at http://despotify.sourceforge.net/.
V. K. Adhikari, S. Jain, Y. Chen, and Z.-L. Zhang. Vivisecting Youtube:An Active Measurement Study. In INFOCOM12 Mini-conference (2012).
Vijay Kumar Adhikari, Yang Guo, Fang Hao, Matteo Varvello, Volker Hilt, Moritz Steiner, and Zhi-Li Zhang, Unreeling Netflix: Understanding and Improving Multi-CDN Movie Delivery. In the Proceedings of IEEE INFOCOM 2012 (2012).
Jacobson, Van et al, ‘VoCCN: Voice Over Content-Centric Networks.’ Dec. 1, 2009. ACM ReArch'09.
Rosenberg, J, “Interactive Connectivity Establishment (ICE): A Protocol for Network Address Translator (NAT) Traversal for Offer/Answer Protocols”, Apr. 2010, pp. 1-117.
Shih, Eugene et al., ‘Wake on Wireless: An Event Driven Energy Saving Strategy for Battery Operated Devices’, Sep. 23, 2002, pp. 160-171.
Fall, K. et al., “DTN: an architectural retrospective”, Selected areas in communications, IEEE Journal on, vol. 28, No. 5, Jun. 1, 2008, pp. 828-835.
Gritter, M. et al., ‘An Architecture for content routing support in the Internet’, Proceedings of 3rd Usenix Symposion on Internet Technologies and Systems, 2001, pp. 37-48.
“CCNx,” http://ccnx.org/. downloaded Mar. 11, 2015.
“Content Delivery Network”, Wikipedia, Dec. 10, 2011, http://en.wikipedia.org/w/index.php?title=Content_delivery_network&oldid=465077460.
“Digital Signature” archived on Aug. 31, 2009 at http://web.archive.org/web/20090831170721/http://en.wikipedia.org/wiki/Digital_signature.
“Introducing JSON,” http://www.json.org/. downloaded Mar. 11, 2015.
“Microsoft PlayReady,” http://www.microsoft.com/playready/.downloaded Mar. 11, 2015.
“Pursuing a pub/sub internet (PURSUIT),” http://www.fp7-pursuit.ew/PursuitWeb/. downloaded Mar. 11, 2015.
“The FP7 4WARD project,” http://www.4ward-project.eu/. downloaded Mar. 11, 2015.
A. Broder and A. Karlin, “Multilevel Adaptive Hashing”, Jan. 1990, pp. 43-53.
Delti, Andrea, et al. “CONET: a content centric inter-networking architecture.” Proceedings of the ACM SIGCOMM workshop on Information-centric network, ACM, 2011.
A. Wolman, M. Voelker, N. Sharma N, Cardwell, A. Karlin, and H.M. Levy, “On the scale and performance of cooperative web proxy caching,” ACM SIGHOPS Operating Systems Review, vol. 33, No. 5, pp. 16-31, Dec. 1999.
Afanasyev, Alexander, et al. “Interest flooding attack and countermeasures in Named Data Networking.” IFIP Networking Conference, 2013. IEEE, 2013.
B. Ahlgren et al., ‘A Survey of Information-centric Networking’ IEEE Commun. Magazine, Jul. 2012, pp. 26-36.
Ban, MdFaizul, et al. ‘A survey of naming and routing in information-centric networks.’ Communications Magazine, IEEE 50.12 (2012): 44-53.
Baugher, Mark et al., “Self-Verifying Names for Read-Only Named Data”, 2012 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Mar. 2012, pp. 274-279.
Brambley, Michael, A novel, low-cost, reduced-sensor approach for providing smart remote monitoring and diagnostics for packaged air conditioners and heat pumps. Pacific Northwest National Laboratory, 2009.
C.A. Wood and E. Uzun, “Flexible end-to-end content security in CCN,” in Proc. IEEE CCNC 2014, Las Vegas, CA, USA, Jan. 2014.
Carzaniga, Antonio, Matthew J. Rusherford, and Alexander L. Wolf, ‘A routing scheme for content-based networking,’ INFOCOM 2004, Twenty-third Annual Joint Conference of the IEEE Computer and Communications, Societies, vol. 2, IEEE, 2004.
Cho, Jin-Hee, Ananthram Swami, and Ray Chen. “A survey on trust management for mobile ad hoc networks,” Communications Surveys & Tutorials, IEEE 13.4 (2011): 562-583.
Compagno, Alberto, et al, “Poseidon: Mitigating interest flooding DDoS attacks in named data networking,” Local Computer Networks (LCN), 2013 IEEE 38th Conference on, IEEE, 2013.
Conner, William, et al. “A trust management framework for service-oriented environments.” Proceedings of the 18th international conference on World wide web. ACM, 2009.
Content Centric Networking Project (CCN) [online], http://ccnx.org/releases/latest/doc/technical/, Downloaded Mar. 9, 2015.
Content Mediator Architecture for Content-aware Networks (COMET) Project [online], http://www.comet-project.org/, Downloaded Mar. 9, 2015.
D.K. Smetters, P. Golle, and J.D. Thornton, “CCNx access control specifications,” PARC, Tech. Rep., Jul. 2010.
Dabirmoghaddam, et al., “Understanding Optimal Caching and Opportunistic Caching at “The Edge” of Informtation-Centric Networks,” ICN' 14, Sep. 2014, 10 pages.
Dijkstra, Edsger W., and Carel S. Scholten. ‘Termination detection for diffusing computations,’ Information Processing Letters 11.1 (1980): 1-4.
Dijkstra, Edsger W., Wim HJ Feijen, and A. J. M. Van Gasteren, “Derivation of a termination detection algorithm for distributed computations.” Control Flow and Data Flow: concepts of distributed programming. Springer Berlin Heidelberg, 1956. 507-512.
E. Rescorla and N. Modadugu, “Datagram transport layer security,” IETF RFC 4347, Apr. 2006.
E.W. Dijkstra, W. Feijen, and A.J.M. Van Gasteren, “Derivation of a Termination Detection Algorithm for Distributed Computations,” Information Processing Letter, vol. 16, No. 5, 1983.
Fayazbakhsh, et al., “Less Pain, Most of the Gain: Incrementally Deployable ICN,” SIGCOMM'13, Aug. 2013, 12 pages.
G. Tyson, S. Kaune, S. Miles, Y. El-Khatib, A. Mauthe, and A. Taweel, “A trace-driven analysis of caching in content-centric networks,” in Proc. IEEE ICCCN 2012, Munich, Germany, Jul.-Aug. 2012, pp. 1-7.
G. Wang, Q. Liu, and J. Wu, “Hierarchical attribute-based encryption for fine-grained access control in cloud storage services,” in Proc. ACM CCS 2010, Chicago, IL, USA, Oct. 2010, pp. 735-737.
G. Xylomenos et al., “A Survey of Information-centric Networking Research,” IEEE Communication Surveys and Tutorials, Jul. 2013.
Garcia, Humberto E., Wen-Chiao Lin, and Semyon M. Meerkov, “A resilient condition assessment monitoring system,” Resilient Control Systems (ISRCS), 2012 5th International Symposium on, IEEE, 2012.
Garcia-Luna-Aceves, Jose J. ‘A unified approach to loop-free routing using distance vectors or link states.’ ACM SIGCOMM Computer Communication Review, vol. 19, No. 4, ACM, 1989.
Garcia-Luna-Aceves, Jose J. ‘Name-Based Content Routing in Information Centric Networks Using Distance Information’ Proc ACM ICN 2014, Sep. 2014.
Ghali, Cesar, GeneTsudik, and Ersin Uzun, “Needle in a Haystack: Mitigating Content Poisoning in Named-Data Networking,” Proceedings of NDSS Workshop on Security of Emerging Networking Technologies (SENT). 2014.
Ghodsi, Ali, et al. “Information-centric networking: seeing the forest for the trees.” Proceedings of the 10th ACM Workshop on Hot Topics in Networks. ACM, 2011.
Ghodsi, Ali, et al. “Naming in content-oriented architectures.” Proceedings of the ACM SIGCOMM workshop on information-centric networking, ACM, 2011.
Gupta, Anjali, Barbara Liskov, and Rodrigo Rodrigues, “Efficient Routing for Peer-to-Peer Overlays.” NSDI. vol. 4, 2004.
Heckerman, David, John S. Breese, and Koos Rommelse. “Decision-Theoretic Troubleshooting.” Communications of the ACM. 1995.
Heinemeier, Kristin, et al. “Uncertainties in Achieving Energy Savings from HVAC Maintenance Measures in the Field.” ASHRAE: Transactions 118.Part 2 (2012).
Herlich, et al., “Optimizing Energy Efficiency for Bulk Transfer Networks,” http://www.cs.uni-paderborn.de/fileadmin/informationik/ag-karl/publications/miscellaneous/opmtimizing.pdf, Apr. 2010, 3 pages.
https://code.google.com/p/ccnx-trace/.
I. Psaras, R.G. Clegg, R. Landa, W.K. Chai, and G. Pavlou, “Modelling and evaluation of CCN-caching trees,” in Proc. IFIP Networking 2011, Valencia, Spain, May 2011, pp. 78-91.
Intanagonwiwat, et al., “Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks,” MobiCom '00: Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, Aug. 2000, 12 pages.
J. Aumasson and D. Bernstein, “SipHash: a fast short-input PRF”, Sep. 18, 2012.
J. Hur, “Improving security and efficiency in attribute-based data sharing,” IEEE , Trans. Knowledge Data Eng., vol. 25, No. 10, pp. 2271-2282, Oct. 2013.
Jacobson et al., “Custodian-Based Information Sharing,” Jul. 2012, IEEE Communications Magazine: vol. 50 Issue 7 (p. 3843).
Ji, Kuri, et al. “Prognostics enabled resilient control for model-based building automation systems,” Proceedings of the 12th Conference of International Building Performance Simulation Association, 2011.
K. Liang, L. Fang, W. Susilo, and D.S. Wong, “A Ciphertext-policy attribute-based proxy re-encryption with chosen-ciphertext security,” in Proc. INCoS 2013, Xian, China, Sep. 2013, pp. 552-559.
Katipamula, Srinivas, and Michael R. Brambley, “Review article: methods for fault detection, diagnostics, and prognostics for building systemsa review, Part 1.” HVAC&R Research 11.1 (2005): 3-25.
Katipamula, Srinivas, and Michael R. Brambley, “Review article: methods for fault detection, diagnostics, and prognostics for building systemsa review, Part II.” HVAC&R Research 11.2 (2005): 169-187.
L. Zhou, V. Varadharajan, and M. Hitchens, “Achieving secure role-based access control on encrypted data in cloud storage,” IEEE Trans. Inf. Forensics Security, vol. 8, No. 12, pp. 1947-1960, Dec. 2013.
Li, Wenjia, Anupam, Joshi, and Tim Finin, “Coping with node misbehaviors in ad hoc: networks: A multi-dimensional trust management approach.” Mobile Data Management (MDM), 2010 Eleventh International Conference on IEEE, 2010.
Lopez, Javier, et al. “Trust management systems for wireless sensor networks: Best practices.” Computer Communications 33.9 (2010): 1086-1093.
M. Green and G. Ateniese, “Identity-based proxy re-encryption,” in Proc. ACNS 2007, Zhuhai, China, Jun. 2007, pp. 288-306.
M. Ion, J. Zhang, and E.M. Schooler, “Toward content-centric privacy in ICN: Attribute-based encryption and routing,” in Proc. ACM SIGCOMM ICN 2013, Hong Kong, China, Aug. 2013, pp. 39-40.
M. Naor and B. Pinkas “Efficient trace and revoke schemes,” in Proc. FC 2000, Anguilla, British West Indies, Feb. 2000, pp. 1-20.
M. Nystrom, S. Parkinson, A. Rusch, and M. Scott, “PKCS#12: Personal information exchange syntax v. 1.1,” IETF RFC 7292, K. Moriarty, Ed., Jul. 2014.
M. Parsa and J.J. Garcia-Luna-Aceves, “A Protocol for Scalable Loop-free Multicast Routing,” IEEE JSAC, Apr. 1997.
M. Walfish, H. Balakrishnan, and S. Shenker, “Untangling the web from DNS,” in Proc. USENIX NSDI 2004, Oct. 2010, pp. 735-737.
Mahadevan, Priya, et al. “Orbis: rescaling degree correlations to generate annotated internet topologies,” ACM SIGCOMM Computer Communication Review, vol. 37, No. 4, ACM, 2007.
Mahadevan, Priya, et al. “Systematic topology analysis and generation using degree correlations.” ACM SIGCOMM Computer Communication Review, vol. 36. No. 4. ACM, 2006.
Matocha, Jeff, and Tracy Camp, ‘A taxonomy of distributed termination detection algorithms.’ Journal of Systems and Software 43.3 (1998): 207-221.
Matteo Varvello et al., “Caesar: A Content Router for High Speed Forwarding”, ICN 2012, Second Edition on Information-Centric Networking, New York, Aug. 2012.
McWilliams, Jennifer, A., and Iain S. Walker. “Home Energy Article: A Systems Approach to Retrofitting Residential HVAC Systems.” Lawrence Berkeley National Laboratory (2005).
Mobility First Project [online], http://mobilityfirst.winlab.rutgers.edu/, Downloaded Mar. 9, 2015.
Narasimhan, Sriram, and Lee Brownston. “HyDE—A General Framework for Stochastic and Hybrid Modelbased Diagnosis.” Proc. DX 7 (2007): 162-169.
NDN Project [online], http://www.named-data.net/, Downloaded Mar. 9, 2015.
Omar, Mawioud, Yacine Challal, and Abdelmadjid Bouabdallah. “Certification-based trust models in mobile ad hoc networks: A survey and taxonomy,” Journal of Network and Computer Applications 35.1 (2012): 268-286.
Mahadevan, et al., “CCN-KRS: A Key Resolution Service for CCN,” ICN'14, Sep. 2014, 10 pages.
S. Deering, “Multicast Routing in Internetworks and Extended LANs,” Proc. ACM SIGCOMM '88, Aug. 1988.
S. Deering et al., “The PIM architecture for wide-area multicast routing,” IEEE/ACM Trans, on Networking, vol. 4, No. 2, Apr. 1996.
S. Jahio, P. Mittal, and N. Borisov, “EASIER: Encryption-based access control in social network with efficient revocation,” in Proc. ACM ASIACCS 2011, Hong Kong, China, Mar. 2011, pp. 411-415.
S. Kamara and K. Lauter, “Cryptographic cloud storage,” in Proc. FC 2010, Tenerife, Canary Islands, Spain, Jan. 2010, pp. 136-149.
S. Kumar et al. “Peacock Hashing: Deterministic and Updatable Hashing for High Performance Networking,” 2008, pp. 556-564.
S. Misra, R. Tourani, and N.E. Majd, “Secure content delivery in information-centric networks: Design, implementation, and analyses,” in Proc. ACM SIGCOMM ICN 2013, Hong Kong, China, Aug. 2013, pp. 73-78.
S. Yu, C. Wang, K. Ren, and W. Lou, “Achieving secure, scalable, and fine-grained data access control in cloud computing,” in Proc. IEEE INFOCOM 2010, San Diego, CA, USA, Mar. 2010, pp. 1-9.
S.J. Lee, M. Gerla, and C. Chiang, “On-demand Multicast Routing Protocol in Multihop Wireless Mobile Networks,” Mobile Networks and Applications, vol. 7, No. 6, 2002.
Scalable and Adaptive Internet Solutions (SAIL) Project [online], http://sail-project.eu/ Downloaded Mar. 9, 2015.
Schein, et al., “A Simulation Study of a Hierarchical, Rule-Based Method for System-Level Fault Detection and Diagnostics in HVAC Systems,” NISTIR 7216, US DEPARTMENT OF COMMERCE, National Institute of Standard and Technology, Building Environment Division Building and Fire Research Laboratory, Apr. 2005, 23 pages.
Shani, Guy, Joelle Pineau, and Robert Kaplow, “A survey of point-based POMDP solvers.” Autonomous Agents and Multi-Agent Systems 27.1 (2013): 1-51.
Sheppard, John W., and Stephyn GW Butcher. “A formal analysis of fault diagnosis and d-matrices.” Journal of Electronic Testing 23.4 (2007): 309-322.
Shneyderman, Alex et al., ‘Mobile VPN: Delivering Advanced Services in Next Generation Wireless Systems’, Jan. 1, 2003, pp. 3-29.
Solis, Ignacio, and J. J. Garcia-Luna-Aceves, ‘Robust content dissemination in disrupted environments.’ proceedings of the third ACM workshop on Challenged networks. ACM, 2008.
Sun, Ying, and Daniel S. Weld. “A framework for model-based repair.” AAAI. 1993.
T. Ballardie, P. Francis, and J. Crowcroft, “Core Based Trees (CBT),” Proc. ACM SIGCOMM '88, Aug. 1988.
T. Dierts, “The transport layer security (TLS) protocol version 1.2,” IETF RFC 5246, 2008.
T. Koponen, M. Chawla, B. G. Chun, A. Ermolinskiy, K.H. Kim, S. Shenker, and I. Stoica, ‘A data-oriented (and beyond) network architecture,’ ACM SIGCOMM Computer Communication Review, vol. 37, No. 4, pp. 181-192, Oct. 2007.
V. Goyal, D. Pandey, A. Sahai, and B. Waters, “Attribute-based encryption for fine-grained access control of encrypted data,” in Proc. ACM CCS 2006, Alexandria, VA, USA, Oct.-Nov. 2006, pp. 89-98.
V. Jacobson, D.K. Smetters, J.D. Thornton, M.F. Plass, N.H. Briggs, and R.L. Braynard, ‘Networking named content,’ in Proc. ACM CoNEXT 2009, Rome, Italy, Dec. 2009, pp. 1-12.
Verma, et al., “Probabilistic Models for Monitoring and Fault Diagnosis,” Workshop Paper, The Second IARP and IEEE/RAS Joint Workshop on Technical Challenges for Dependable Robots in Human Environments, Oct. 2002, 10 pages.
Vutukury, Srinivas, and J. J. Garcia-Luna-Aceves. A simple approximation to minimum-delay routing, vol. 29, No. 4, ACM, 1999.
W. G. Tzeng, and Z.-J. Tzeng, “A public-key traitor tracing scheme with revocation using dynamic shares,” in Proc. PKC 2001, Cheju Island, Korea, Feb. 2001, pp. 207-224.
Waldvogel, Marcel “Fast Longest Prefix Matching: Algorithms, Analysis, and Applications”. A dissertation submitted to the Swiss Federal Institute of Technology, Zurich, 2002.
Walker, Iain S. Best practices guide for residential HVAC Retrofits. No. LBNL-53532. Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (US), 2003.
Wang, Jiangzhe et al., “DMND: Collecting Data from Mobiles Using Named Data”, Vehicular Networking Conference, 2010 IEEE, pp. 49-56.
Xylomenos, George, et al. “A survey of information-centric networking research.” Communication Surveys & Tutorials, IEEE 16.2 (2014): 1024-1049.
Yi, Cheng, et al. ‘A case for stateful forwarding plane.’ Computer Communications 36.7 (2013): 779-791.
Yi, Cheng, et al. ‘Adaptive-forwarding in named data networking.’ ACM SIGCOMM computer communication review 42.3 (2012): 62-67.
Zahariadis, Theodore, et al, “Trust management in wireless sensor networks.” European Transactions on Telecommunications 21.4 (2010): 386-395.
Zhang, et al., “Named Data Networking (NDN) Project”, http://www.parc.com/publication/2709/named-data-networking-ndn-project.html, Oct. 2010, NDN-0001, PARC Tech Report.
Zhang, Lixia, et al. ‘Named data networking.’ACM SIGCOMM Computer Communication Review 44.3 (2014): 66-73.
D. Trossen and G. Parisis, “Designing and realizing and information-centric internet,” IEEE Communications Magazing, vol. 50, No. 7, pp. 60-67, Jul. 2012.
Gasti, Paolo et al., ‘DoS & DDoS in Named Data Networking’, 2013 22nd International Conference on Computer Communications and Networks (ICCCN), Aug. 2013, pp. 1-7.
J. Hur and D.K. Noh, “Attribute-based access-control with efficient revocation in data outsourcing systers,” IEEE Trans. Parallel Distrib. Syst, vol. 22, No. 7, pp. 1214-1221, Jul. 2011.
Kaya et al., “A Low Power Lockup Technique for Multi-Hashing Network Applications”, 2006 IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures, Mar. 2006.
Related Publications (1)
Number Date Country
20170286461 A1 Oct 2017 US
Continuations (1)
Number Date Country
Parent 14194147 Feb 2014 US
Child 15620600 US