Adaptive multi-interface use for content networking

Information

  • Patent Grant
  • 9686194
  • Patent Number
    9,686,194
  • Date Filed
    Tuesday, December 23, 2014
    9 years ago
  • Date Issued
    Tuesday, June 20, 2017
    7 years ago
Abstract
One embodiment provides a system that forwards a packet with a hierarchically structured variable-length identifier (HSVLI) in a network. An HSVLI indicates a piece of content and indicates a hierarchical structure of contiguous components ordered from a most general level to a most specific level. The length of the HSVLI is not fixed. During operation, the system receives a packet which contains an interest for a piece of content with an HSVLI. Subsequently, the system determines forwarding information for the HSVLI based on one or more of: knowledge of content which matches the HSVLI, a forwarding policy, and contextual information about the network. Next, the system configures a forwarding engine with the forwarding information. The system then forwards the packet based on the forwarding information.
Description
BACKGROUND

Field


The present disclosure relates generally to facilitating communication over a data network. More specifically, the present disclosure relates to adaptive use of multi-interface forwarding equipment in content-centric networking.


Related Art


The proliferation of the Internet and e-commerce continues to fuel revolutionary changes in the network industry. Today, a significant number of information exchanges, from online movie viewing to daily news delivery, retail sales, and instant messaging, are conducted online. An increasing number of Internet applications are also becoming mobile. However, the current Internet operates on a largely location-based addressing scheme. That is, a consumer of content can only receive the content by explicitly requesting the content from an address (e.g., IP address) closely associated with a physical object or location. This restrictive addressing scheme is becoming progressively inadequate for meeting the ever-changing network demands.


The current architecture of the Internet revolves around a conversation model, which was created in the 1970s for the ARPAnet to allow geographically distributed users to use a few big, immobile computers. This architecture was designed under the influence of the telephone network, where a telephone number is essentially a program that configures the switches along a path from the source to the destination. Not surprisingly, the designers of the ARPAnet never expected it to evolve into today's ubiquitous, relentlessly growing Internet. People now expect a lot more from the Internet than the ARPAnet was designed for. Ideally, an Internet user should have access to any content, anywhere, at any time. Such access is difficult to guarantee with the current location/device-binding IP protocol.


Under current web-based naming structures, an idea of the host is implicit in the name which contains the corresponding content. For example, http://www.amazon.com/index.html can be found by contacting the machine www.amazon.com. However, this contact requires a domain name system (DNS) to translate a human-readable host name into an IP address (e.g., 209.34.123.178). In current computer systems, there is no way to refer to a piece of content without knowing what host that file is stored on, and even then the contents associated with that file might change.


In the current technology, forwarding is the process by which a node in a packet-switched network transmits a packet from a source to a destination. An Internet Protocol (IP) router typically receives a packet at one of its input ports (e.g., a network interface). Next, the router performs a lookup to identify an output port to which the packet should be forwarded based on the packet's destination address. However, existing routers do not provide a way to configure the forwarding engine to forward content interests that do not use conventional IP addresses.


SUMMARY

One embodiment provides a system that forwards a packet with a hierarchically structured variable-length identifier (HSVLI) in a network. An HSVLI indicates a piece of content and indicates a hierarchical structure of contiguous components ordered from a most general level to a most specific level. The length of the HSVLI is not fixed. During operation, the system receives a packet which contains an interest for a piece of content with an HSVLI. Subsequently, the system determines forwarding information for the HSVLI based on one or more of: knowledge of content which matches the HSVLI, a forwarding policy, and contextual information about the network. Next, the system configures a forwarding engine with the forwarding information. The system then forwards the packet based on the forwarding information.


In some embodiments, knowledge of content which matches the HSVLI includes one or more of: location of content which matches the HSVLI, availability of content which matches the HSVLI, and importance or priority of content which matches the HSVLI.


In some embodiments, one or more components of the HSVLI include a domain name system (DNS) name, and determining the forwarding information includes determining an output interface based on the DNS name in the HSVLI.


In some embodiments, the policy includes one or more of: a policy rule on content which matches the HSVLI, a security constraint on content which matches the HSVLI, and a strategy rule to discover a source of content which matches the HSVLI.


In some embodiments, contextual information includes information about one or more of: physical layer connectivity, which includes a WiFi connectivity, a local-area network (LAN) connectivity, a wide-area network (WAN) connectivity, and other wired or wireless connectivity; a peer node which is likely to store content which matches the HSVLI; network costs; network latency; and battery status.


In some embodiments, the configuration of the forwarding engine with the forwarding information is in response to one or more of: a status change of the local network, execution of a routing protocol based on information received from another node in the network, and receiving statistical information indicating delay associated with one or more output interfaces.


In some embodiments, the system periodically or continually updates a database used to determine forwarding information by discovering nodes in the network, and establishing a secure tunnel with a discovered node to receive the content.


In some embodiments, the hierarchical structure includes one or more of: a globally routable name, an organizational name, a version identifier, and a digest.


In some embodiments, the system forwards a packet through multiple output interfaces simultaneously.


In some embodiments, the system receives contextual and policy information from a node and virally propagates the contextual and policy information to another node.





BRIEF DESCRIPTION OF THE FIGURES


FIG. 1 illustrates an exemplary network where packets have HSVLIs in accordance with an embodiment.



FIG. 2 illustrates an exemplary system for forwarding a packet with an HSVLI via two different routes to the same network in accordance with an embodiment.



FIG. 3 illustrates an exemplary system for forwarding packets corresponding to two different interests in content in accordance with an embodiment.



FIG. 4 presents an exemplary high-level architecture for forwarding a packet with an HSVLI in accordance with an embodiment.



FIG. 5 presents a flow chart illustrating the process of forwarding a packet with an HSVLI in accordance with an embodiment.



FIG. 6 presents a flow chart illustrating the process of running a discovery protocol to identify a node that provides content and establishes a tunnel thereto, in accordance with an embodiment



FIG. 7 presents an apparatus for forwarding a packet with an HSVLI in accordance with an embodiment.





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


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.


DETAILED DESCRIPTION

Overview


Embodiments of the present invention integrate different information flows to make decisions about how to configure forwarding of interests in particular content collections given multiple simultaneous connectivity options. Specifically, embodiments of the present invention facilitate configuring a forwarding engine that receives interests in content rather than addresses, where the configuration can be based on knowledge of the content, forwarding policies, and contextual information about the network. Embodiments of the present invention also facilitate finer-grained decision-making among multiple forwarding options.


Content centric networks—where routing is based on interests rather than addresses—bring a new approach to content transport. Instead of having network traffic viewed at the application level as end-to-end conversations over which content travels, content is requested or returned based in part on the name given to it, and the network is responsible for routing content from the provider to the consumer. Content includes data that can be transported in the communication system, and can be any form of data such as text, images, video, and/or audio. A consumer and a provider can be a person at a computer or an automated process inside or outside the network. In such a network, a piece of content can refer to the entire content or a respective portion of the content. For example, a newspaper article might be represented by multiple pieces of content embodied as data packets. A piece of content can also be associated with metadata describing or augmenting the piece of content with information such as authentication data, creation date, content owner, etc.


In content-centric networks, unlike a conventional IP network, a packet may be identified by an HSVLI. For example, “abcd/bob/papers/ccn/news” could be the name of the content and identifies the corresponding packet(s); i.e., the “news” article from the “ccn” collection of papers for a user named “Bob” at the organization named “ABCD.”


To request a piece of content, a node expresses (e.g., broadcasts) an interest in that content by the content's name. An interest in a piece of content can be a query for the content according to the content's name or identifier. The content, if available in the network, is routed back to it from any node that stores the content. The routing infrastructure intelligently propagates the interest to the prospective nodes that are likely to have the information and then carries available content back along the path which the interest traversed.



FIG. 1 illustrates an exemplary architecture of a network, in accordance with an embodiment of the present invention. In this example, a network 180 comprises nodes 100-145. Each node in the network is coupled to one or more other nodes. Network connection 185 is an example of such a connection. The network connection is shown as a solid line, but each line could also represent sub-networks or super-networks which can couple one node to another node. Network 180 can be a local network, a super-network or a sub-network. Each of these networks can be interconnected so that a node in one network can reach a node in other networks. The network connection can be broadband, wireless, telephonic, satellite, or any type of network connection. A node can be a computer system, an end-point representing users, and/or a device that can generate interests or originate content.


In accordance with an embodiment of the present invention, a consumer can generate an interest in a piece of content and then send that interest to a node in network 180. The piece of content can be stored at a node in network 180 by a publisher or content provider, who can be located inside or outside the network. For example, in FIG. 1, the interest in a piece of content originates at node 105. If the content is not available at the node, the interest flows to one or more nodes coupled to the first node. For example, in FIG. 1, the interest flows (interest flow 150) to node 115, which does not have the content available. Next, the interest flows (interest flow 155) from node 105 to node 125, which again does not have the content. The interest then flows (interest flow 160) to node 130, which does have the content available. The flow of the content then retraces its path in reverse (content flows 165, 170, and 175) until it reaches node 105, where the content is delivered. Other processes such as authentication can be involved in the flow of content.


In network 180, any number of intermediate nodes (nodes 100-145) in the path between a content holder (node 130) and the interest generation node (node 105) can participate in caching local copies of the content as it travels across the network. Caching reduces the network load for a second subscriber located in proximity to other subscribers by implicitly sharing access to the locally cached content


Conventional packet forwarding is based on addresses assigned to nodes (or interfaces of nodes). In IP addressing, a hierarchical division of addresses is used so that the first portion of an address identifies a network, later portions identify a sub-network within that network, and the end of the address identifies a particular host within a sub-network. This arrangement allows the responsibility for assigning unique addresses to be delegated and thereby distributed so that the Internet can scale to worldwide size. It also enables scaling by limiting the amount of information an IP router needs to process when forwarding a packet to an output port.


In one embodiment, a packet is identified by an HSVLI with a hierarchical structure. The hierarchical structure of this HSVLI offers several advantages over the hierarchical structure of an IP address. Such an identifier can describe the structure explicitly through the name rather than implicitly through an IP routing table entry, which includes a subnet mask. Thus, in an HSVLI a naming mistake in the hierarchy can be detected through inspection, whereas an IP-based subnet mask mistake might route a packet to the wrong address and is more difficult to detect.


The forwarding engine can use various methods for matching the interest against an entry associated with forwarding information. For example, embodiments of the present invention can use a longest-prefix match lookup, which can be beneficial to the forwarding of packets with HSVLIs. For example, an interest in “/parc/home/smetters” will match both “/parc/home/smetters/test.txt” and “/parc/home/smetters/bar.txt” (that is, the packets identified by both these names). The longest match, in terms of the number of name components, is considered the best because it is the most specific.


Embodiments of the present invention use HSVLI-based routing process described above, with content retracing the interest path in reverse and caching at nodes. This novel routing mechanism can effectively prevent packet looping. A node can determine when a duplicate packet arrives by an alternate path and refuse to forward it. Thus it is not necessary to have the restriction of forwarding only based on a spanning tree, because multiple and possibly circular paths cannot cause packet looping and hence cost little. A node may identify and use multiple possible paths towards potential sources of content at once, which enables a variety of strategies that are not possible with conventional IP routing, where multicast-like routing or flooding is prohibited. For any particular content collection, there may be not just one but several possible options of interfaces over which to forward interests in the collection and they may have different properties. Embodiments of the present invention provide a means for configuring the forwarding engine to implement the best strategies for different situations.


In some embodiments of the present invention, the system can identify and simultaneously forward a packet along multiple paths toward potential sources of content. This simultaneous forwarding enables the system to accomplish a variety of strategies that are not possible with IP. For example, each path toward the content may have different properties, which the system can subsequently use for configuring the forwarding engine.


Multi-Interface Connectivity Model



FIG. 2 illustrates an exemplary system for forwarding a packet with an HSVLI via two different routes to the same network in accordance with an embodiment. In this example, a mobile device 200 is coupled to a wireless router 210 through an interface 230. Note that an interface can correspond to a port from which interests are sent and content is received. In turn, wireless router 210 is coupled to a network 220, which can be a content centric network, through a network connection 240. Mobile device 200 expresses an interest 250 in a piece of available content. Mobile device 200 can broadcast interest 250 over all available connectivity including but not limited to Wi-Fi, Bluetooth® and wireless carrier connections (i.e., cellular network connections). Any network node receiving the interest and having the content which matches the interest can respond. FIG. 2 shows that network 220 responds with content 260, which is forwarded through wireless router 210, back to mobile device 200.


One example of the criteria used in choosing an interface is the responsiveness to previous similar interests over that same interface. For example, in FIG. 2, interest 250 may initially be broadcast simultaneously on both interfaces 230 and 270. The system may then discover that content matching the interest is received faster through interface 270. The system will further forward subsequent interests 280-1, 2, 3, . . . only through interface 270 but not on interface 230. This example illustrates that the system can change its forwarding information based on the time it takes to receive matching content.


The system can also change its forwarding for an interest based on the cost of forwarding. An example of a policy leading to such a forwarding decision is a user preferring to access a large file over an available Wi-Fi hot spot connection instead of a more expensive carrier network.



FIG. 2 also illustrates a sequence of interests 280-1, 2, 3, . . . . Although the system broadcasts interest 250 through interfaces 230 and 270, the system decides to forward subsequent interests 280-1, 2, 3, . . . through interface 270. In addition, the system may also decide to forward these interests to interface 230 because of a better network condition such as lower latency. The system may determine this lower latency based on the content returned in response to interest 250 which is previously broadcast on interfaces 230 and 270. The system can also forward individual interests alternately on one interface or the other, or send them simultaneously over multiple interfaces using various multicast suppression techniques. For example, the system can continuously probe for better connectivity and forward interests according to the result of that probe. Note that in response to interests 280-1, 2, 3, . . . , the network returns content 290-1, 2, 3, . . . via interface 270 back to mobile device 200.



FIG. 3 illustrates an exemplary system for forwarding packets corresponding to two different interests in content in accordance with an embodiment. In this example, mobile device 200 expresses an interest in content from two different namespaces (“parc.com” and “/photo/ca/baybridge”) and pulls content from those two different namespaces over interface 230 and an interface with secure link 340 simultaneously. Such an example might arise if a user needs a secure tunnel to access “/parc.com/jim” while pulling pictures of the San Francisco Bay Bridge over a public Wi-Fi connection. A web server 310 for namespace “/photo/ca/baybridge” returns content matching an interest in pictures of the San Francisco Bay Bridge. A secure server 350 for namespace parc.com returns content matching an interest in “/parc.com/jim.”


Embodiments of the present invention can configure the forwarding engine to forward interest packets over single or multiple interfaces, permitting fine-grained dynamic choices among multiple interfaces at a low level.


Architecture for Forwarding Interest Packets



FIG. 4 presents a high-level architecture illustrating the process of forwarding interest packets with an HSVLI in accordance with an embodiment. In this example, a packet forwarding system includes a forwarding engine 400 and a connectivity agent 405. Forwarding engine 400 includes a forwarding information base (FIB) 410, a strategy layer 415, and ports 420-A to 420-D, which are coupled respectively to an application 430, a wireless router 435, a mobile device 440, and a locked mobile device 445. In FIG. 4, bi-directional arrows between components denote two-way communication, programmable capabilities between a source and a destination arrow, or statistical feedback. Note that a port has an input side (i.e., an input port) and an output side (e.g., an output port).


FIB 410 is a database that can facilitate a lookup by a longest-match name prefix to determine which interface(s) an interest can be forwarded to. A strategy layer 415, which can be hardware or software, makes the fine-grained, packet-by-packet decision among multiple interfaces when the lookup produces multiple interfaces. Note that ports can communicate with individual applications, local networks, or with channels or tunnels, such as secure encrypted links.


Consider an interest arriving at port 420-A in forwarding engine 400. Typically, forwarding engine 400 includes a content store (CS, not shown) which is a local cache of previously received content. Assuming that the new interest arriving on port 420-A does not match any content in the CS, the interest is sent to FIB 410 for lookup. The system can use various lookup methods such as a longest-prefix match or an exact match. If the system does not find a match in FIB 410, the interest is sent to connectivity agent 405. Connectivity agent 405 can configure FIB 410 with forwarding information about a new content collection, assuming that the connectivity agent is able to identify a direction (e.g. interface/tunnel) toward that content collection.


In one embodiment, connectivity agent 405 determines one or more entries to be inserted into FIB 410, which indicate how to forward the interest based on the interest, content, and/or forwarding policy. The system can then re-inject the interest to forwarding engine 400, which can ensure a match for the interest.


If connectivity agent 405 cannot determine a way to forward the interest and reach the content collection, the interest can be discarded. Note that if the system is unable to match an interest in FIB 410, the system does not immediately discard the interest. Instead, the system transfers the interest to connectivity agent 405, which permits dynamic actions to identify a path that is not previously configured in FIB 410. For example, connectivity agent 405 can perform a domain name system (DNS) lookup on a prefix of the HSVLI associated with the interest for dynamic overlay routing in the public Internet. Forwarding engine 400 can still be configured to discard unmatched interests, for example, when the connectivity agent is not running.


If the system identifies a match for the interest in FIB 410, the interest and the corresponding one or more output port(s) can be sent to strategy layer 415. Strategy layer 415 uses the results of a successful lookup in FIB 410 to determine which output ports to use for the interest. Note that the system can still send the interest to the connectivity agent 405 despite a match being found in FIB 410. This operation facilitates opportunistic local broadcast to find content as well as dynamic configuration of specific paths to the content collection.


Connectivity agent 405 can control the implemented policy by configuring strategy layer 415 without having to process each individual packet. In one embodiment, connectivity agent 405 can configure strategy layer 415 with rules for choosing among multiple interfaces. For example, such rules can specify priority-based interface selection, a round-robin-sequence-based interface selection, or interface priorities based on fine-grained response timing. In another embodiment, configuration agent 405 can install an executable program in strategy layer 415 so that strategy layer 415 can execute the program to handle packets. Executable programs enable strategy layer 415 to have fine-grained control over where to forward packets.


Various methods can be used to configure forwarding engine 400 to transfer an interest to connectivity agent 405. For example, using longest-prefix matching, a zero-length prefix entry in FIB 410 will match any interest that does not match a longer “regular” entry. An interest that matches the zero-length prefix will cause the interest to be forwarded to the connectivity agent using normal processing (i.e., forwarding through an output port). Similarly, an interface associated with connectivity agent 405 can be added to the list for any entry in FIB 410. Adding this entry can allow configuration for specific paths as well as opportunistic broadcasts. In short, transfer of an interest from forwarding engine 400 to connectivity agent 405 can be through special-case handling in FIB 410 (as when there is no match at all) or through normal entries in FIB 410.


Connectivity Agent


Continuing with FIG. 4, connectivity agent 405 includes a decision layer 450, which sets forwarding rules based on database 455. Database 455 includes knowledge of content 460 which matches the interest (i.e., the HSVLI), forwarding policy 465, and contextual information 470 about the network. Embodiments of the present invention can use connectivity agent 405 to integrate information in database 455 and configure forwarding information base 410 to find content in a dynamic network environment.


Knowledge of content 460 which matches the interest includes information about the content, such the location(s) of the content as may be learned through a routing protocol, availability of content, and immediate importance or priority of content to an end user. There are many different ways to do routing to propagate and discover information about locations and availability of content.


Forwarding policy 465 can include policy rules, security constraints on specific collections of content (such as personal information), and generic strategy rules (e.g., try all output ports to discover the fastest source of content in a collection). The system can identifying particular collections based on the prefix of the HSVLI and can associate a policy rule, a constraint, and a strategy with that prefix.


Contextual information 470 about the network can include information about available physical layer connections (Wi-Fi, LAN, carrier network, etc.), knowledge of peers, network costs, network latency, and battery status. For interests sent from forwarding engine 400 to decision layer 450, decision layer 450 can interact with database 455 to determine how to configure FIB 410 to control the forwarding of the outgoing interest toward content that can match the interest.


Decision layer 450 can aggregate information from knowledge of content 460, forwarding policy 465, and contextual information 470. Based on the information available in database 455, connectivity agent 405 can set up the configuration for a new port, for example by creating a tunnel connection over the public Internet.


As an example, consider the arrival of an interest in “www.google.com/michaeljackson/photo/” on port 420-A. The system can perform the following operation to create a new port. The system first receives the interest, which cannot be satisfied by any content in the CS. The system then looks up the interest in FIB 410. If the system does not find a match in FIB 410, the system sends the interest to connectivity agent 405. Within connectivity agent 405, decision layer 450 aggregates information about the content, policy, and available networks from database 455. Specifically, connectivity agent 405 uses knowledge of content 460 (e.g., when the prefix of the identifier associated with the interest's HSVLI is a DNS name), forwarding policy 465 (e.g., try local, use shortest delay or least round trip time, or no constraints on the given collection), and contextual information 470 (e.g., Wi-Fi and adjacent network nodes) from database 455 to determine how to forward the interest.


If the interest's HSVLI contains a domain name, connectivity agent 405 then performs a DNS lookup to discover an IP address to which a tunnel may be created for a network overlay transport. Decision layer 450 then configures forwarding engine 400 to create the new tunnel connection via a respective output port. Decision layer 450 further configures the forwarding information base 410 so that an interest in “www.google.com” will be broadcast first over all available local network ports (to find local copies, if available) and then forwarded (if not already satisfied) on the port corresponding to the overlay tunnel. Subsequently, connectivity agent 405 can re-inject the interest to forwarding engine 400 so that it may be forwarded according to the newly established configuration.


As a second example, consider an interest in obtaining personal financial reports from “www.bankofamerica.com/account/report.” Below are the matching criteria within each group that decision layer 450 can use to determine forwarding information. Knowledge of content 480 can use the prefix associated with the interest is a DNS name with content reachable via tunnel. Forwarding policy 465 can determine whether an outside home Wi-Fi network should use a secure encrypted tunnel for a prefix matching “www.bankofamerica.com/account/report.” Contextual information 470 can determine an available airport Wi-Fi and/or a carrier network. Connectivity agent 405 can now configure forwarding engine 400 to use a secure tunnel over port 420-c and adding a FIB entry so that these interests are forwarded port 420-c to ensure that no information about the requests is revealed.


Overall System Operation



FIG. 5 presents a flow chart illustrating the process of forwarding a packet with an HSVLI in accordance with an embodiment. During operation, the system receives a packet which contains an interest for a piece of content with an HSVLI (operation 500). For example, the system can receive the packet at connectivity agent 405 from the forwarding engine 400 or from any port associated with the system. Subsequently, the system determines forwarding information for the HSVLI based on one or more of: knowledge of content 460 which matches the HSVLI, forwarding policy 465, and contextual information 470 about the network (operation 510). Next, the system configures a forwarding engine with the forwarding information (operation 520).


Configuring the forwarding information can involve configuring the entries of FIB 410. For example, FIB 410 can contain prefixes as entries and one or more output ports associated with each entry. The system can also modify an existing entry so that it matches the interest and so that the output port(s) correspond to the forwarding information configured by connectivity agent 405. Subsequently, the system forwards the packet based on the forwarding information (operation 530). Forwarding the packet can involve sending the packet through the output port(s) and as selected by strategy layer 415.


Dynamic Configuration


In some embodiments, the system does not necessarily trigger connectivity agent 405 when it fails to match a received interest in FIB 410. That is, connectivity agent 405 can configure forwarding engine 400 at any time in response to changes in knowledge of content 460, forwarding policy 465, and contextual information 470, which connectivity agent 405 can continuously monitor. For example, the local networks accessible (part of contextual information 470) to a node can change dynamically as the node moves around. Execution of a routing protocol with other connectivity agents can result in changes to the knowledge of where content under various prefixes can be found. These changes can result in changes to the configuration of FIB 410.


Another source of updates to database 455 is forwarding engine 400, which can provide statistical information to connectivity agent 405. For example, statistical information about consistent round trip delays of retrieving content on different interfaces (ports) might be used by connectivity agent 405 to change priorities of multiple interfaces in FIB 410. One direction of the bi-directional arrow between strategy layer 415 and decision layer 450 denotes the flow of statistical information from strategy layer 415 to decision layer 450.


Active Discovery


Connectivity agent 405 can also perform active operations to update database 455. For example, connectivity agent 405 can periodically or continually run a discovery protocol on local networks to identify nodes with which it can establish secure tunnels for the exchange of information. Furthermore, connectivity agent 405 can discover that a certain mobile node in the network is no longer accessible because the node was moved by its owner.



FIG. 6 presents a flow chart illustrating the process of running a discovery protocol to identify a node that provides content and establishes a tunnel thereto, in accordance with an embodiment. During operation, the system can periodically or continually update a database (e.g., database 455) to determine forwarding information by discovering nodes in the network (operation 600). Next, the system can establish a secure tunnel with a discovered node to receive the content matching an interest (operation 610).


Controlled Information


The system can configure FIB 410 based on a flow of statistical information and performance information between the strategy layer 415 and decision layer 450. Strategy layer 415 can provide performance-based tuning to exploit multiple connections under changing conditions. Strategy layer 415 can also be used to make last-minute or fine time scale adjustments for port use. As a control mechanism for this closed loop of information flow between strategy layer 415 and decision layer 450, a threshold mechanism can be used to set the conditions for what is working and what is not working based on statistical information and performance feedback data.


The following examples illustrate how decision layer 450 uses information from strategy layer 415 to re-inject interests and reconfigure ports. Decision layer 450 can set a rule to broadcast a particular interest over all available ports. For a subsequent interest, decision layer 450 notifies the forwarding engine 400 to route all outgoing interests to the port leading to a public Wi-Fi. But based on real-time information from strategy layer 415 to decision layer 450 that the Wi-Fi interface is performing poorly, decision layer 450 reconfigures FIB 410 to prioritize an alternative port for a local network that is performing better.


As another example, decision layer 450 can set up new forwarding rules based on historical performance data such as round-trip time (RTT) and layer-2 performance data, stored and collected by strategy layer 415 and forwarded to decision layer 450.


Inter-Node Learning


The system can also learn policies from other devices on the network. Once a device is associated as belonging to a particular family of devices, for example, the system can retrieve and validate configuration information from that device. An example of this is a flow of policy information from that device directly to forwarding policy 465.


The system can facilitate viral propagation of knowledge about devices and policies. For example, the system (which can be located at a node in the network) can request or share information with another authorized node about where a source for a content collection, such as particular pictures, is located in network terms. Such information can include such items as the identifier of the local network(s) to which a source is directly connected and the IP address(es) that a source can use. This contextual knowledge about devices may be used to select and configure connections to them such as overlay tunnels. The node at which the system is located can then propagate this information to another node. In an environment with continuously moving mobile devices (e.g. an airport), dozens of nodes can “infect” each other with such information in a few minutes. For example, node 1 can “infect” node 2, which can “infect” node 3, which can “infect” node 4 and so on.


This viral propagation of knowledge about devices and policies can be enabled by the system's ability to retrieve content by name without knowledge of other nodes and by the system's security model, which can allow secure verification of information to be bootstrapped from a minimal configuration. As another example, a new device can dynamically learn a database from an old replacement device without the need for complete reconfiguration.


Multi-Port Forwarding


The system can forward an interest over multiple ports. That is, the system can attempt to retrieve content via multiple network paths in parallel and without the restriction of forwarding on a spanning tree, which would restrict the forwarding at any one node to a single link. For example, a sequence of interests in the same content collection (e.g., same prefix namespace) can be split over multiple ports. Furthermore, a user might want to download a video before boarding a flight and the interests associated with the video can be distributed over multiple ports simultaneously to improve download time. For example, different segments of the video can be requested by simultaneous interests. As a contrasting example, forwarding policy 465 might specify the use of all available ports for all interests to ensure higher reliability. Decision layer 450 can be responsible for setting up a one-plus-one redundancy.


Apparatus for Adaptive Multi-Use Interface for Content Networking



FIG. 7 presents an apparatus for forwarding a packet with an HSVLI in accordance with an embodiment.


In accordance with embodiment, apparatus 700 for forwarding a packet with an HSVLI in a network, includes a processor 705, a memory 710, a storage 715, a receiving mechanism 720, a determining mechanism 725, a configuring mechanism 730, and a forwarding mechanism 735, all of which can be in communication with each other through various means.


In some embodiments, mechanisms 720-735 can be part of processor 705. Further, in some embodiments, the system may not include a separate processor and memory. Instead, in addition to performing their specific tasks, mechanisms 720-735, either separately or in concert, may be part of a general-purpose computation engine.


Storage 715 stores programs to be executed by processor 705. Specifically, storage 715 stores a program that implements a system (application) for forwarding a packet with an HSVLI. During operation, the application program can be loaded from storage 715 into memory 710 and executed by processor 705. As a result, apparatus 700 for forwarding a packet with an HSVLI can perform the functions described above. Apparatus 700 for forwarding a packet with an HSVLI can be coupled to an optional display 750, keyboard 740, and pointing device 745. Apparatus 700 is also coupled to network 755, which can be content-centric.


In an embodiment, processor 705 activates receiving mechanism 720 and supplies it with the packet. Next, processor 705 activates determining mechanism 725 and supplies it with the HSVLI indicated by the packet, and optionally with the packet. Subsequently, processor 705 activates configuring mechanism 730 and supplies it with forwarding information obtained from determining mechanism 725. Next, processor 705 activates forwarding mechanism 735 and supplies it with the forwarding information obtained from determining mechanism 725 by re-injecting the interest associated with the packet into the forwarding engine 400 and obtaining the forwarding information from forwarding information base 410.


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, methods and processes described herein can be included in hardware modules or apparatus. These modules or apparatus may include, but are not limited to, an application-specific integrated circuit (ASIC) chip, a field-programmable gate array (FPGA), a dedicated or shared processor that executes a particular software module or a piece of code at a particular time, and/or other programmable-logic devices now known or later developed. When the hardware modules or apparatus are activated, they perform the methods and processes included within them.


The foregoing descriptions of various embodiments have been presented only for purposes of illustration and description. 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.

Claims
  • 1. A computer-implemented method for forwarding a packet with a hierarchically structured variable-length identifier (HSVLI) in a network, comprising: performing a lookup for a packet based on an HSVLI in a local forwarding information base (FIB) to determine forwarding information for the packet, wherein the packet comprises an interest for a piece of content expressed using the HSVLI;wherein the HSVLI indicates the content and is hierarchically structured, and comprises contiguous components ordered from a most general level to a most specific level, and wherein the length of a respective HSVLI is not fixed;in response to not finding a match for the HSVLI in the local FIB: determining, by a connectivity agent, a forwarding decision and the forwarding information for the HSVLI; andconfiguring an entry in the FIB to contain the HSVLI associated with the determined forwarding decision and forwarding information;forwarding the packet based on the forwarding information; andin response to receiving a second packet containing at least a prefix of the HSVLI and to identifying, via a second lookup in the local FIB that the HSVLI is a longest match for the prefix having a largest number of matched name components, forwarding the second packet based on the forwarding information.
  • 2. The method of claim 1, wherein the forwarding decision includes selecting one or more local interfaces for forwarding the packet.
  • 3. The method of claim 1, wherein the forwarding decision and the forwarding information are determined based on one or more of: knowledge of content which matches the HSVLI, a forwarding policy, and contextual information.
  • 4. The method of claim 1, further comprising: determining a local interface to be a lower-latency interface among a plurality of local interfaces; andselecting the local interface for forwarding packets comprising subsequent interests expressed using respective HSVLIs.
  • 5. The method of claim 1, wherein one or more components of the HSVLI comprise a domain name system (DNS) name; and wherein the method further comprises: identifying an Internet Protocol (IP) address mapped to the DNS name; andestablishing a tunnel to the identified IP address.
  • 6. The method of claim 1, wherein the interest is further for a second piece of content, wherein the piece of content and the second piece of content are from two different namespaces.
  • 7. The method of claim 6, further comprising pulling the piece of content and the second piece of content from the two different namespaces via two different local interfaces.
  • 8. The method of claim 1, further comprising: monitoring for changes in one or more of: knowledge of content which matches the HSVLI, a forwarding policy, and contextual information; andin response to observing a change in the knowledge of content, forwarding policy, or contextual information, and further in response to finding a match for the HSVLI in the local FIB during the lookup, re-determining the forwarding decision for the HSVLI based on the observed change.
  • 9. The method of claim 8, further comprising selecting an interface from a set of matched interfaces for forwarding the packet based on one or more rules for choosing among multiple interfaces.
  • 10. An apparatus for forwarding a packet with a hierarchically structured variable-length identifier (HSVLI) in a network comprising: a processor;a memory;a determining mechanism configured to perform a lookup for a packet based on an HSVLI in a local forwarding information base (FIB) to determine forwarding information for the packet, wherein the packet comprises an interest for a piece of content expressed using the HSVLI;wherein the HSVLI indicates the content and is hierarchically structured, and comprises contiguous components ordered from a most general level to a most specific level, and wherein the length of a respective HSVLI is not fixed;a configuring mechanism, in response to the determining mechanism not finding a match for the HSVLI in the local FIB, configured to:determine a forwarding decision and the forwarding information for the HSVLI; andconfigure an entry in the local FIB to contain the HSVLI associated with the determined forwarding decision and forwarding information; anda forwarding mechanism configured to forward the packet based on the forwarding information;wherein the forwarding mechanism is further configured, in response to receiving a second packet containing at least a prefix of the HSVLI and to identifying, via a second lookup in the local FIB that the HSVLI is a longest match for the prefix having a largest number of matched name components, to forward the second packet based on the forwarding information.
  • 11. The apparatus of claim 10, wherein the forwarding decision includes selecting one or more local interfaces for forwarding the packet.
  • 12. The apparatus of claim 10, wherein the configuring mechanism determines the forwarding decision and the forwarding information based on one or more of: knowledge of content which matches the HSVLI, a forwarding policy, and contextual information.
  • 13. The apparatus of claim 10, wherein the determining mechanism is further configured to: determine a local interface to be a lower-latency interface among a plurality of local interfaces; andselect the local interface for forwarding packets comprising subsequent interests expressed using respective HSVLIs.
  • 14. The apparatus of claim 10, further configured to establish a tunnel to an Internet Protocol (IP) address, wherein one or more components of the HSVLI comprise a domain name system (DNS) name, and wherein the IP address is mapped to the DNS name.
  • 15. The apparatus of claim 10, wherein the interest is further for a second piece of content, wherein the piece of content and the second piece of content are from two different namespaces.
  • 16. The apparatus of claim 15, further configured to pull the piece of content and the second piece of content from the two different namespaces via two different local interfaces.
  • 17. The apparatus of claim 10, further configured to: monitor for changes in one or more of: knowledge of content which matches the HSVLI, a forwarding policy, and contextual information; andre-determine the forwarding decision for the HSVLI in response to observing a change in the knowledge of content, forwarding policy, or contextual information, and further in response to the determining mechanism finding a match for the HSVLI in the local FIB during the lookup, wherein the re-determination is based on the observed change.
  • 18. The apparatus of claim 17 further configured to select an interface from a set of matched interfaces for forwarding the packet based on one or more rules for choosing among multiple interfaces.
  • 19. A non-transitory computer-readable storage device storing instructions that when executed by a computer cause the computer to perform a method for forwarding a packet with a hierarchically structured variable-length identifier (HSVLI) in a network, the method comprising: performing a lookup for a packet based on an HSVLI in a local forwarding information base (FIB) to determine forwarding information for the packet, wherein the packet comprises an interest for a piece of content expressed using the HSVLI;wherein the HSVLI indicates the content and is hierarchically structured, and comprises contiguous components ordered from a most general level to a most specific level, and wherein the length of a respective HSVLI is not fixed;in response to not finding a match for the HSVLI in the local FIB: determining a forwarding decision and the forwarding information for the HSVLI; andconfiguring an entry in the FIB to contain the HSVLI associated with the determined forwarding decision and forwarding information;forwarding the packet based on the forwarding information; andin response to receiving a second packet containing at least a prefix of the HSVLI and to identifying, via a second lookup in the local FIB that the HSVLI is a longest match for the prefix having a largest number of matched name components, forwarding the second packet based on the forwarding information.
RELATED APPLICATION

This application is a continuation of U.S. patent application Ser. No. 12/603,336, titled “Adaptive Multi-Interface Use for Content Networking,” by inventors Van L. Jacobson and James D. Thornton, filed 21 Oct. 2009. The subject matter of this application is related to the subject matter in the following applications: U.S. patent application Ser. No. 12/123,344, entitled “VOICE OVER CONTENT-CENTRIC NETWORKS,” by inventors Paul Stewart, Van Jacobson, Michael Plass, and Diana Smetters, filed 19 May 2008;U.S. patent application Ser. No. 12/332,560, entitled “METHOD AND APPARATUS FOR FACILITATING COMMUNICATION IN A CONTENT-CENTRIC NETWORK,” by inventor Van Jacobson, filed 11 Dec. 2008; andU.S. patent application Ser. No. 12/565,005, entitled “SYSTEM FOR FORWARDING A PACKET WITH A VARIABLE-LENGTH IDENTIFIER,” by inventor Van Jacobson, filed 23 Sep. 2009; the disclosures of which are incorporated by reference in their entirety herein.

US Referenced Citations (573)
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
5214702 Fischer May 1993 A
5377354 Scannell Dec 1994 A
5506844 Rao Apr 1996 A
5629370 Freidzon May 1997 A
5845207 Amin Dec 1998 A
5870605 Bracho Feb 1999 A
6052683 Irwin Apr 2000 A
6085320 Kaliski, Jr. Jul 2000 A
6091724 Chandra Jul 2000 A
6128623 Mattis Oct 2000 A
6128627 Mattis Oct 2000 A
6173364 Zenchelsky Jan 2001 B1
6209003 Mattis Mar 2001 B1
6226618 Downs May 2001 B1
6233617 Rothwein May 2001 B1
6233646 Hahm May 2001 B1
6289358 Mattis Sep 2001 B1
6292880 Mattis Sep 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
6732273 Byers May 2004 B1
6769066 Botros Jul 2004 B1
6772333 Brendel Aug 2004 B1
6775258 vanValkenburg Aug 2004 B1
6862280 Bertagna Mar 2005 B1
6901452 Bertagna May 2005 B1
6915307 Mattis Jul 2005 B1
6917985 Madruga Jul 2005 B2
6957228 Graser Oct 2005 B1
6968393 Chen Nov 2005 B1
6981029 Menditto et al. Dec 2005 B1
7007024 Zelenka Feb 2006 B2
7013389 Srivastava Mar 2006 B1
7031308 Garcia-Luna-Aceves Apr 2006 B2
7043637 Bolosky May 2006 B2
7061877 Gummalla Jun 2006 B1
7080073 Jiang Jul 2006 B1
RE39360 Aziz Oct 2006 E
7149750 Chadwick Dec 2006 B2
7152094 Jannu Dec 2006 B1
7177646 ONeill Feb 2007 B2
7206860 Murakami Apr 2007 B2
7206861 Callon Apr 2007 B1
7210326 Kawamoto May 2007 B2
7246159 Aggarwal Jul 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
7362727 ONeill Apr 2008 B1
7382787 Barnes Jun 2008 B1
7395507 Robarts Jul 2008 B2
7430755 Hughes Sep 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
7542471 Samuels Jun 2009 B2
7543064 Juncker Jun 2009 B2
7552233 Raju Jun 2009 B2
7555482 Korkus Jun 2009 B2
7555563 Ott et al. Jun 2009 B2
7564812 Elliott Jul 2009 B1
7567547 Mosko Jul 2009 B2
7567946 Andreoli Jul 2009 B2
7580971 Gollapudi Aug 2009 B1
7623535 Guichard Nov 2009 B2
7636767 Lev-Ran Dec 2009 B2
7647507 Feng Jan 2010 B1
7660324 Oguchi Feb 2010 B2
7685290 Satapati Mar 2010 B2
7698463 Ogier Apr 2010 B2
7698559 Chaudhury Apr 2010 B1
7769887 Bhattacharyya Aug 2010 B1
7779467 Choi Aug 2010 B2
7801069 Cheung Sep 2010 B2
7801177 Luss Sep 2010 B2
7816441 Elizalde Oct 2010 B2
7831733 Sultan Nov 2010 B2
7873619 Faibish Jan 2011 B1
7908337 Garcia-Luna-Aceves Mar 2011 B2
7924837 Shabtay Apr 2011 B1
7953014 Toda May 2011 B2
7953885 Devireddy May 2011 B1
7979912 Roka Jul 2011 B1
8000267 Solis Aug 2011 B2
8010691 Kollmansberger et al. Aug 2011 B2
8069023 Frailong Nov 2011 B1
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 et al. Sep 2012 B2
8271687 Turner Sep 2012 B2
8312064 Gauvin Nov 2012 B1
8332357 Chung Dec 2012 B1
8386622 Jacobson Feb 2013 B2
8447851 Anderson May 2013 B1
8462781 McGhee Jun 2013 B2
8467297 Liu Jun 2013 B2
8473633 Eardley 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
8677451 Bhimaraju Mar 2014 B1
8688619 Ezick Apr 2014 B1
8699350 Kumar Apr 2014 B1
8718055 Vasseur May 2014 B2
8750820 Allan Jun 2014 B2
8761022 Chiabaut Jun 2014 B2
8762477 Xie Jun 2014 B2
8762570 Qian Jun 2014 B2
8762707 Killian et al. 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
8861356 Kozat Oct 2014 B2
8862774 Vasseur Oct 2014 B2
8868779 ONeill Oct 2014 B2
8874842 Kimmel Oct 2014 B1
8880682 Bishop Nov 2014 B2
8903756 Zhao Dec 2014 B2
8923293 Jacobson Dec 2014 B2
8934496 Vasseur Jan 2015 B2
8937865 Kumar Jan 2015 B1
8972969 Gaither Mar 2015 B2
8977596 Montulli Mar 2015 B2
9002921 Westphal Apr 2015 B2
9032095 Traina May 2015 B1
9071498 Beser Jun 2015 B2
9112895 Lin Aug 2015 B1
9253087 Zhang Feb 2016 B2
9270598 Oran Feb 2016 B1
9280610 Gruber Mar 2016 B2
20020002680 Carbajal Jan 2002 A1
20020010795 Brown Jan 2002 A1
20020038296 Margolus 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
20020152305 Jackson Oct 2002 A1
20020176404 Girard Nov 2002 A1
20020188605 Adya Dec 2002 A1
20020199014 Yang Dec 2002 A1
20030004621 Bousquet Jan 2003 A1
20030009365 Tynan Jan 2003 A1
20030033394 Stine Feb 2003 A1
20030046396 Richter Mar 2003 A1
20030046421 Horvitz et al. Mar 2003 A1
20030046437 Eytchison Mar 2003 A1
20030048793 Pochon Mar 2003 A1
20030051100 Patel Mar 2003 A1
20030061384 Nakatani Mar 2003 A1
20030074472 Lucco Apr 2003 A1
20030088696 McCanne May 2003 A1
20030097447 Johnston May 2003 A1
20030099237 Mitra May 2003 A1
20030140257 Peterka Jul 2003 A1
20030229892 Sardera Dec 2003 A1
20040024879 Dingman Feb 2004 A1
20040030602 Rosenquist Feb 2004 A1
20040064737 Milliken Apr 2004 A1
20040071140 Jason Apr 2004 A1
20040073617 Milliken Apr 2004 A1
20040073715 Folkes Apr 2004 A1
20040139230 Kim Jul 2004 A1
20040196783 Shinomiya Oct 2004 A1
20040221047 Grover Nov 2004 A1
20040225627 Botros Nov 2004 A1
20040233916 Takeuchi Nov 2004 A1
20040246902 Weinstein Dec 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
20050111467 Ng May 2005 A1
20050132207 Mourad Jun 2005 A1
20050149508 Deshpande Jul 2005 A1
20050159823 Hayes Jul 2005 A1
20050198351 Nog et al. Sep 2005 A1
20050249196 Ansari Nov 2005 A1
20050259637 Chu Nov 2005 A1
20050262217 Nonaka Nov 2005 A1
20050281288 Banerjee Dec 2005 A1
20050286535 Shrum Dec 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
20060146686 Kim Jul 2006 A1
20060173831 Basso Aug 2006 A1
20060193295 White Aug 2006 A1
20060203804 Whitmore Sep 2006 A1
20060206445 Andreoli Sep 2006 A1
20060215684 Capone Sep 2006 A1
20060223504 Ishak Oct 2006 A1
20060242155 Moore Oct 2006 A1
20060256767 Suzuki Nov 2006 A1
20060268792 Belcea Nov 2006 A1
20070019619 Foster Jan 2007 A1
20070073888 Madhok Mar 2007 A1
20070083646 Miller Apr 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
20070171828 Dalal 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 Nov 2007 A1
20070255699 Sreenivas Nov 2007 A1
20070255781 Li Nov 2007 A1
20070274504 Maes Nov 2007 A1
20070275701 Jonker Nov 2007 A1
20070276907 Maes Nov 2007 A1
20070283158 Danseglio Dec 2007 A1
20070294187 Scherrer Dec 2007 A1
20080005056 Stelzig Jan 2008 A1
20080005223 Flake 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
20080082662 Dandliker Apr 2008 A1
20080095159 Suzuki Apr 2008 A1
20080101357 Iovanna May 2008 A1
20080107034 Jetcheva May 2008 A1
20080107259 Satou 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
20080165775 Das 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
20080250006 Dettinger Oct 2008 A1
20080256138 Sim-Tang Oct 2008 A1
20080256359 Kahn Oct 2008 A1
20080270618 Rosenberg Oct 2008 A1
20080271143 Stephens Oct 2008 A1
20080285578 DeLay Nov 2008 A1
20080287142 Keighran Nov 2008 A1
20080288580 Wang Nov 2008 A1
20080298376 Takeda Dec 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
20090116393 Hughes May 2009 A1
20090117922 Bell May 2009 A1
20090132662 Sheridan May 2009 A1
20090135728 Shen May 2009 A1
20090144300 Chatley Jun 2009 A1
20090157887 Froment Jun 2009 A1
20090185745 Momosaki Jul 2009 A1
20090193101 Munetsugu Jul 2009 A1
20090198832 Shah Aug 2009 A1
20090222344 Greene Sep 2009 A1
20090228593 Takeda Sep 2009 A1
20090254572 Redlich Oct 2009 A1
20090268905 Matsushima Oct 2009 A1
20090274158 Sharp Nov 2009 A1
20090276396 Gorman Nov 2009 A1
20090285209 Stewart Nov 2009 A1
20090287835 Jacobson Nov 2009 A1
20090287853 Carson Nov 2009 A1
20090288076 Johnson Nov 2009 A1
20090288143 Stebila Nov 2009 A1
20090288163 Jacobson Nov 2009 A1
20090292743 Bigus Nov 2009 A1
20090293121 Bigus Nov 2009 A1
20090296719 Maier Dec 2009 A1
20090300079 Shitomi Dec 2009 A1
20090300407 Kamath Dec 2009 A1
20090300512 Ahn Dec 2009 A1
20090307333 Welingkar Dec 2009 A1
20090323632 Nix Dec 2009 A1
20100005061 Basco Jan 2010 A1
20100020806 Vahdat Jan 2010 A1
20100027539 Beverly Feb 2010 A1
20100046546 Ram Feb 2010 A1
20100057929 Merat Mar 2010 A1
20100058346 Narang Mar 2010 A1
20100088370 Wu Apr 2010 A1
20100094767 Miltonberger Apr 2010 A1
20100094876 Huang Apr 2010 A1
20100095331 Hilt 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
20100217985 Fahrny 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
20100257149 Cognigni Oct 2010 A1
20100268782 Zombek Oct 2010 A1
20100272107 Papp Oct 2010 A1
20100281263 Ugawa Nov 2010 A1
20100284309 Allan Nov 2010 A1
20100284404 Gopinath Nov 2010 A1
20100293293 Beser Nov 2010 A1
20100322249 Thathapudi Dec 2010 A1
20110004597 Engel Jan 2011 A1
20110013637 Xue Jan 2011 A1
20110019674 Iovanna Jan 2011 A1
20110022812 vanderLinden Jan 2011 A1
20110029952 Harrington Feb 2011 A1
20110055392 Shen Mar 2011 A1
20110055921 Narayanaswamy Mar 2011 A1
20110060716 Forman Mar 2011 A1
20110060717 Forman Mar 2011 A1
20110090908 Jacobson Apr 2011 A1
20110106755 Hao May 2011 A1
20110137919 Ryu Jun 2011 A1
20110145597 Yamaguchi Jun 2011 A1
20110145858 Philpott Jun 2011 A1
20110149858 Hwang Jun 2011 A1
20110153840 Narayana Jun 2011 A1
20110158122 Murphy Jun 2011 A1
20110161408 Kim Jun 2011 A1
20110202609 Chaturvedi Aug 2011 A1
20110219093 Ragunathan Sep 2011 A1
20110219427 Hito Sep 2011 A1
20110219727 May Sep 2011 A1
20110225293 Rathod Sep 2011 A1
20110231578 Nagappan Sep 2011 A1
20110239256 Gholmieh Sep 2011 A1
20110258049 Ramer Oct 2011 A1
20110264824 Venkata Subramanian Oct 2011 A1
20110265159 Ronda 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
20120023113 Ferren Jan 2012 A1
20120036180 Thornton Feb 2012 A1
20120045064 Rembarz Feb 2012 A1
20120047361 Erdmann Feb 2012 A1
20120066727 Nozoe Mar 2012 A1
20120106339 Mishra May 2012 A1
20120110159 Richardson May 2012 A1
20120114313 Phillips May 2012 A1
20120120803 Farkas May 2012 A1
20120127994 Ko 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
20120166433 Tseng Jun 2012 A1
20120170913 Isozaki Jul 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
20120226902 Kim 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
20120307629 Vasseur Dec 2012 A1
20120314580 Hong Dec 2012 A1
20120317307 Ravindran Dec 2012 A1
20120322422 Frecks Dec 2012 A1
20120323933 He Dec 2012 A1
20120331112 Chatani Dec 2012 A1
20130024560 Vasseur Jan 2013 A1
20130041982 Shi Feb 2013 A1
20130051392 Filsfils Feb 2013 A1
20130054971 Yamaguchi Feb 2013 A1
20130060962 Wang Mar 2013 A1
20130061084 Barton Mar 2013 A1
20130066823 Sweeney Mar 2013 A1
20130073552 Rangwala Mar 2013 A1
20130074155 Huh Mar 2013 A1
20130090942 Robinson Apr 2013 A1
20130091539 Khurana Apr 2013 A1
20130110987 Kim May 2013 A1
20130111063 Lee May 2013 A1
20130132719 Kobayashi May 2013 A1
20130139245 Thomas May 2013 A1
20130151584 Westphal Jun 2013 A1
20130151646 Chidambaram Jun 2013 A1
20130152070 Bhullar Jun 2013 A1
20130163426 Beliveau Jun 2013 A1
20130166668 Byun Jun 2013 A1
20130173822 Hong Jul 2013 A1
20130182568 Lee Jul 2013 A1
20130182931 Fan Jul 2013 A1
20130185406 Choi Jul 2013 A1
20130191412 Kitamura Jul 2013 A1
20130197698 Shah Aug 2013 A1
20130198119 Eberhardt, III Aug 2013 A1
20130212185 Pasquero Aug 2013 A1
20130219038 Lee Aug 2013 A1
20130219081 Qian Aug 2013 A1
20130219478 Mahamuni Aug 2013 A1
20130223237 Hui Aug 2013 A1
20130227048 Xie Aug 2013 A1
20130227114 Vasseur Aug 2013 A1
20130227166 Ravindran Aug 2013 A1
20130242996 Varvello Sep 2013 A1
20130250809 Hui Sep 2013 A1
20130262365 Dolbear Oct 2013 A1
20130282854 Jang Oct 2013 A1
20130282860 Zhang Oct 2013 A1
20130282920 Zhang Oct 2013 A1
20130304758 Gruber Nov 2013 A1
20130304937 Lee Nov 2013 A1
20130325888 Oneppo Dec 2013 A1
20130329696 Xu Dec 2013 A1
20130332971 Fisher Dec 2013 A1
20130336103 Vasseur Dec 2013 A1
20130336323 Srinivasan Dec 2013 A1
20130339481 Hong Dec 2013 A1
20130343408 Cook Dec 2013 A1
20140003232 Guichard Jan 2014 A1
20140003424 Matsuhira Jan 2014 A1
20140006354 Parkison Jan 2014 A1
20140006565 Muscariello Jan 2014 A1
20140029445 Hui Jan 2014 A1
20140032714 Liu Jan 2014 A1
20140033193 Palaniappan Jan 2014 A1
20140040505 Barton Feb 2014 A1
20140040628 Fort Feb 2014 A1
20140047513 vantNoordende Feb 2014 A1
20140074730 Arensmeier Mar 2014 A1
20140075567 Raleigh Mar 2014 A1
20140082135 Jung Mar 2014 A1
20140082661 Krahnstoever Mar 2014 A1
20140089454 Jeon Mar 2014 A1
20140096249 Dupont Apr 2014 A1
20140108313 Heidasch Apr 2014 A1
20140108474 David Apr 2014 A1
20140115037 Liu Apr 2014 A1
20140122587 Petker May 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
20140173076 Ravindran Jun 2014 A1
20140192717 Liu Jul 2014 A1
20140195328 Ferens Jul 2014 A1
20140195641 Wang Jul 2014 A1
20140195666 Dumitriu Jul 2014 A1
20140214942 Ozonat Jul 2014 A1
20140233575 Xie Aug 2014 A1
20140237085 Park Aug 2014 A1
20140237095 Bevilacqua-Linn Aug 2014 A1
20140245359 DeFoy Aug 2014 A1
20140254595 Luo Sep 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
20140298248 Kang Oct 2014 A1
20140314093 You Oct 2014 A1
20140337276 Iordanov Nov 2014 A1
20140365550 Jang Dec 2014 A1
20150006896 Franck Jan 2015 A1
20150018770 Baran Jan 2015 A1
20150032892 Narayanan Jan 2015 A1
20150033365 Mellor Jan 2015 A1
20150039890 Khosravi Feb 2015 A1
20150063802 Bahadur Mar 2015 A1
20150089081 Thubert Mar 2015 A1
20150095481 Ohnishi Apr 2015 A1
20150095514 Yu Apr 2015 A1
20150120663 LeScouarnec Apr 2015 A1
20150169758 Assom Jun 2015 A1
20150188770 Naiksatam Jul 2015 A1
20150195149 Vasseur Jul 2015 A1
20150207633 Ravindran Jul 2015 A1
20150207864 Wilson Jul 2015 A1
20150279348 Cao Oct 2015 A1
20150288755 Mosko Oct 2015 A1
20150312300 Mosko Oct 2015 A1
20150349961 Mosko Dec 2015 A1
20150372903 Hui Dec 2015 A1
20150381546 Mahadevan Dec 2015 A1
20160019275 Mosko Jan 2016 A1
20160021172 Mahadevan Jan 2016 A1
20160062840 Scott Mar 2016 A1
20160110466 Uzun Apr 2016 A1
20160171184 Solis Jun 2016 A1
Foreign Referenced Citations (21)
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
2120402 Nov 2009 EP
2120419 Nov 2009 EP
2124415 Nov 2009 EP
2214357 Aug 2010 EP
2323346 May 2011 EP
2214356 May 2016 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
2013123410 Aug 2013 WO
2015084327 Jun 2015 WO
Non-Patent Literature Citations (161)
Entry
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 Symposium on Internet Technologies and Systems, 2001, pp. 37-48.
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.
J. Lotspiech, S. Nusser, and F. Pestoni. Anonymous Trust: Digital Rights Management using Broadcast Encryption. Proceedings of the IEEE 92.6 (2004).
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. Kamara and K. Lauter. Cryptographic Cloud Storage. Financial Cryptography and Data Security. Springer Berlin Heidelberg (2010).
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.
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$.
D. Trossen and G. Parisis, “Designing and realizing and information-centric internet,” IEEE Communications Magazing, vol. 50, No. 7, pp. 60-67, Jul. 2012.
Garcia-Luna-Aceves et al., “Automatic Routing Using Multiple Prefix Labels”, 2012, IEEE, Ad Hoc and Sensor Networking Symposium.
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.
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.
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 Lookup Technique for Multi-Hashing Network Applications”, 2006 IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures, Mar. 2006.
Hogue 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.
“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.
Detti, Andrea, et al. “CONET: a content centric inter-networking architecture.” Proceedings of the ACM SIGCOMM workshop on Information-centric networking. 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.
Ao-Jan Su, David R. Choffnes, Aleksandar Kuzmanovic, and Fabian E. Bustamante. Drafting Behind Akamai: Inferring Network Conditions Based on CDN Redirections. IEEE/ACM Transactions on Networking {Feb. 2009).
B. Ahlgren et al., ‘A Survey of Information-centric Networking’ IEEE Commun. Magazine, Jul. 2012, pp. 26-36.
B. Lynn. The Pairing-Based Cryptography Library, http://crypto.stanford.edu/pbc/.
Bari, 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. Gentry and A. Silverberg. Hierarchical ID-Based Cryptography. Advances in Cryptology—ASIACRYPT 2002. Springer Berlin Heidelberg (2002).
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. Rutherford, 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. Boneh, C. Gentry, and B. Waters, ‘Collusion resistant broadcast encryption with short ciphertexts and private keys,’ in Proc. CRYPTO 2005, Santa Barbara, CA, USA, Aug. 2005, pp. 1-19.
D. Boneh and M. Franklin. Identity-Based Encryption from the Weil Pairing. Advances in Cryptology—CRYPTO 2001, vol. 2139, Springer Berlin Heidelberg (2001).
D.K. Smetters, P. Golle, and J.D. Thornton, “CCNx access control specifications,” PARC, Tech. Rep., Jul. 2010.
Dabirmoghaddam, Ali, Maziar Mirzazad Barijough, and J. J. Garcia-Luna-Aceves. ‘Understanding optimal caching and opportunistic caching at the edge of information-centric networks.’ Proceedings of the 1st international conference on Information-centric networking. ACM, 2014.
Detti et al., “Supporting the Web with an information centric network that routes by name”, Aug. 2012, Computer Networks 56, pp. 3705-3702.
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, 1986. 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, S. K., Lin, Y., Tootoonchian, A., Ghodsi, A., Koponen, T., Maggs, B., & Shenker, S. {Aug. 2013). Less pain, most of the gain: Incrementally deployable ICN. In ACM SIGCOMM Computer Communication Review (vol. 43, No. 4, pp. 147-158). ACM.
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).
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.
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).
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, Matthias et al., “Optimizing Energy Efficiency for Bulk Transfer Networks”, Apr. 13, 2010, pp. 1-3, retrieved for the Internet: URL:http://www.cs.uni-paderborn.de/fileadmin/informationik/ag-karl/publications/miscellaneous/optimizing.pdf (retrieved on Mar. 9, 2012).
Hogue et al., ‘NLSR: Named-data Link State Routing Protocol’, Aug. 12, 2013, ICN 2013, pp. 15-20.
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, Chalermek, Ramesh Govindan, and Deborah Estrin. ‘Directed diffusion: a scalable and robust communication paradigm for sensor networks.’ Proceedings of the 6th annual international conference on Mobile computing and networking. ACM, 2000.
J. Aumasson and D. Bernstein, “SipHash: a fast short-input PRF”, Sep. 18, 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. Hur, “Improving security and efficiency in attribute-based data sharing,” IEEE Trans. Knowledge Data Eng., vol. 25, No. 10, pp. 2271-2282, Oct. 2013.
J. Shao and Z. Cao. CCA-Secure Proxy Re-Encryption without Pairings. Public Key Cryptography. Springer Lecture Notes in Computer Science vol. 5443 (2009).
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.
Jacobson, Van et al. ‘VoCCN: Voice Over Content-Centric Networks.’ Dec. 1, 2009. ACM ReArch'09.
Jacobson et al., “Custodian-Based Information Sharing,” Jul. 2012, IEEE Communications Magazine: vol. 50 Issue 7 (p. 3843).
Ji, Kun, 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 I.” 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.
Koponen, Teemu et al., “A Data-Oriented (and Beyond) Network Architecture”, SIGCOMM '07, Aug. 27-31, 2007, Kyoto, Japan, XP-002579021, p. 181-192.
L. Wang et al., ‘OSPFN: An OSPF Based Routing Protocol for Named Data Networking,’ Technical Report NDN-0003, 2012.
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. Blaze, G. Bleumer, and M. Strauss, ‘Divertible protocols and atomic prosy cryptography,’ in Proc. EUROCRYPT 1998, Espoo, Finland, May-Jun. 1998, pp. 127-144.
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.
Matted 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).
Merindol et al., “An efficient algorithm to enable path diversity in link state routing networks”, Jan. 10, Computer Networks 55 (2011), pp. 1132-1140.
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, Mawloud, 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.
P. Mahadevan, E.Uzun, S. Sevilla, and J. Garcia-Luna-Aceves, “CCN-krs: A key resolution service for ccn,” in Proceedings of the 1st International Conference on Information-centric Networking, Ser. INC 14 New York, NY, USA: ACM, 2014, pp. 97-106. [Online]. Available: http://doi.acm.org/10.1145/2660129.2660154.
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).
Rosenberg, J. “Interactive Connectivity Establishment (ICE): A Protocol for Network Address Translator (NAT) Traversal for Offer/Answer Protocols”, Apr. 2010, pp. 1-117.
S. Chow, J. Weng, Y. Yang, and R. Deng. Efficient Unidirectional Proxy Re-Encryption. Progress in Cryptology—AFRICACRYPT 2010. Springer Berlin Heidelberg (2010).
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. Jahid, 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 INFOCOMM 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.
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.
Scalable and Adaptive Internet Solutions (SAIL) Project [online], http://sail-project.eu/ Downloaded Mar. 9, 2015.
Schein, Jeffrey, and Steven T. Bushby. A Simulation Study of a Hierarchical, Rule-Based Method for System-Level Fault Detection and Diagnostics in HVAC Systems. US Department of Commerce,[Technology Administration], National Institute of Standards and Technology, 2005.
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 with d-matrices.” Journal of Electronic Testing 23.4 (2007): 309-322.
Shih, Eugene et al., ‘Wake on Wireless: An Event Driven Energy Saving Strategy for Battery Operated Devices’, Sep. 23, 2002, pp. 160-171.
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.
The Despotify Project (2012). Available online at http://despotify.sourceforge.net/.
V. Goyal, 0. 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.
V. K. Adhikari, S. Jain, Y. Chen, and Z.-L. Zhang. Vivisecting Youtube:An Active Measurement Study. In INFOCOM12 Mini-conference (2012).
Verma, Vandi, Joquin Fernandez, and Reid Simmons. “Probabilistic models for monitoring and fault diagnosis.” The Second IARP and IEEE/RAS Joint Workshop on Technical Challenges for Dependable Robots in Human Environments. Ed. Raja Chatila. Oct. 2002.
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).
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-53592. 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.” Communications 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.
Lui et al. (A TLV-Structured Data Naming Scheme for Content-Oriented Networking, pp. 5822-5827, International Norkshop on the Network of the Future, Communications (ICC), 2012 IEEE International Conference on Jun. 10-15 2012).
Peter Dely et al. “OpenFlow for Wireless Mesh Networks” Computer Communications and Networks, 2011 Proceedings of 20th International Conference on, IEEE, Jul. 31, 2011 (Jul. 31, 2011), pp. 1-6.
Gamepudi Parimala et al “Proactive, reactive and hybrid multicast routing protocols for Wireless Mesh Networks”, 2013 IEEE International Conference on Computational Intelligence and Computing Research, IEEE, Dec. 26, 2013, pp. 1-7.
Tiancheng Zhuang et al. “Managing Ad Hoc Networks of Smartphones”, International Journal of Information and Education Technology, Oct. 1, 2013.
Amadeo et al. “Design and Analysis of a Transport-Level Solution for Content-Centric VANETs”, University “Mediterranea” of Reggio Calabria, Jun. 15, 2013.
Marc Mosko: “CCNx 1.0 Protocol Introduction” Apr. 2, 2014 [Retrieved from the Internet Jun. 8, 2016] http://www.ccnx.org/pubs/hhg/1.1%20CCNx%201.0%20Protocol%20Introduction.pdf *paragraphs [01.3], [002], [02.1], [0003].
Akash Baid et al: “Comparing alternative approaches for networking of named objects in the future Internet”, Computer communications Workshops (Infocom Wkshps), 2012 IEEE Conference on, IEEE, Mar. 25, 2012, pp. 298-303, *Paragraph [002]* *figure 1*.
Priya Mahadevan: “CCNx 1.0 Tutorial”, Mar. 16, 2014, pp. 1-11, Retrieved from the Internet: http://www.ccnx.org/pubs/hhg/1.2%20CCNx%201.0%20Tutorial.pdf [retrieved on Jun. 8, 2016] *paragraphs [003]-[006], [0011], 100131* * figures 1,2*.
Marc Mosko et al “All-In-One Streams for Content Centric Networks”, May 24, 2015, retrieved from the Internet: http://www.ccnx.org/pubs/AllinOne.pdf [downloaded Jun. 9, 2016] *the whole document*.
Cesar Ghali et al. “Elements of Trust in Named-Data Networking”, Feb. 13, 2014 Retrieved from the internet Jun. 17, 2016 http://arxiv.org/pdf/1402.3332v5.pdf *p. 5, col. 1* *p. 2, col. 1-2* * Section 4.1; p. 4, col. 2* *Section 4.2; p. 4, col. 2*.
Priya Mahadevan et al. “CCN-KRS”, Proceedings of the 1st International Conference on Information-Centric Networking, Inc. '14, Sep. 24, 2014.
Flavio Roberto Santos Et al. “Funnel: Choking Polluters in BitTorrent File Sharing Communities”, IEEE Transactions on Network and Service Management, IEEE vol. 8, No. 4, Dec. 1, 2011.
Liu Wai-Xi et al: “Multisource Dissemination in content-centric networking”, 2013 Fourth International conference on the network of the future (NOF), IEEE, Oct. 23, 2013, pp. 1-5.
Marie-Jose Montpetit et al.: “Network coding meets information-centric networking”, Proceedings of the 1st ACM workshop on emerging Name-Oriented mobile networking design, architecture, algorithms, and applications, NOM '12, Jun. 11, 2012, pp. 31-36.
Related Publications (1)
Number Date Country
20150113163 A1 Apr 2015 US
Continuations (1)
Number Date Country
Parent 12603336 Oct 2009 US
Child 14581817 US