Patent Grant
9847907
This application is related to and incorporates by reference for all purposes the full disclosure of co-pending U.S. patent application Ser. No. 13/685,596, filed Nov. 26, 2012, entitled “DISTRIBUTED CACHING CLUSTER CONFIGURATION”, co-pending U.S. patent application Ser. No. 13/685,607, filed Nov. 26, 2012, entitled “DISTRIBUTED CACHING CLUSTER CLIENT CONFIGURATION” and co-pending U.S. patent application Ser. No. 13/685,620, filed Nov. 26, 2012, entitled “REPLICATION IN DISTRIBUTED CACHING CLUSTER”.
Data centers provide computing resources for use by one or more clients. These services may include computing, storage and networking services. For example, a data center may provide a machine to host an application, storage to store application data, cache to quickly respond to repeated data requests and networking to enable communication between resources. By making use of the data center services, a customer may pay for computing and/or resource use rather than purchasing anticipated hardware needs. This enables a customer to expand and contract use of computing services according to demand. For example, an application may be configured to request more storage as needed rather than a developer or administrator monitoring and anticipating use.
On demand systems may be used to reduce the number of times a database must be read by caching data and objects from the database. For example, one implementation uses a client centered architecture where a client knows the servers, but the servers are not known to each other. To read or set a key, the client uses a hash to determine which server to contact and contacts that server. The server then calculates a second hash to determine where to store or read the corresponding value. Additions or subtractions to the group of servers are managed by the client.
Various embodiments in accordance with the present disclosure will be described with reference to the drawings, in which:
In the following description, various embodiments will be described. For purposes of explanation, specific configurations and details are set forth in order to provide a thorough understanding of the embodiments. However, it will also be apparent to one skilled in the art that the embodiments may be practiced without the specific details. Furthermore, well-known features may be omitted or simplified in order not to obscure the embodiment being described.
Techniques described and suggested herein include enabling and monitoring of a cache cluster to make the cache cluster configuration-aware such that initialization and changes to the underlying structure of the cache cluster can be dynamically updated. For example, a cache cluster may comprise a set of one or more memory caching nodes. A configuration may be an indication of, among other things, the number of memory caching nodes in the cache cluster and the location of the memory caching nodes. The configuration may be maintained, in one embodiment, at each of the set of one or more memory caching nodes. As such, each memory caching node may be aware of the configuration of every memory caching node in the cache cluster. A memory caching node storing the configuration may be referenced by an alias in a configuration endpoint. When a client is first attempting to connect to the cache cluster, the client may resolve an alias from a static configuration endpoint to a memory caching node in a cache cluster. The client may request initial configuration from the memory caching node. As additional requests are made to the cache cluster, a first memory caching node may change in one or more ways (such as being added or removed from the cache cluster). As such, the configuration may be updated and sent to each of the set of one or more memory caching nodes in the cache cluster. A management system monitors these changes to the cache cluster, the changes including, for example, provisioning of new memory caching nodes or replacement of failing memory caching nodes. The management system may also update the configuration stored in memory caching nodes. The client may then obtain the updated configuration directly from a memory caching node that has the current configuration of the cache cluster. As such, updated configurations are easily obtained by a client without having to resolve a memory caching node via the configuration endpoint after a node has been resolved. The management system may include one or more computing resources that manage the cache cluster. It should be noted that a plurality of memory caching nodes may grouped together in one or more ways to create a cache cluster.
A cache cluster may cache data and object to reduce accesses to a data source. The cache cluster may include one or more memory caching nodes. Each node may store a portion of a set of cached data. The cached data may be split between memory caching nodes based on keys that are used to retrieve an element of data from the cache cluster. Data sources may include a database, application programming interface (API) or other data store or data source. The memory caching nodes may use computer memory as storage for cache, such as RAM, to speed up responses to requests.
In one illustrative example, a cache cluster is managed by a management system. The management system may determine, store, and/or maintain configurations of one or more cache clusters. In addition, the management system may be logically connected to distributed computing resources via a network. The management system may be configured to provision the computing resources as memory caching nodes. The management system may also be configured to associate the provisioned memory caching nodes with any of the one or more cache clusters. In an embodiment, the management system may also be configured to wind down a memory caching node and to remove the computing resources from the cache cluster to a general pool of distributed computing resources. When a cache cluster is updated, the configuration of the cache cluster may be updated in the management system and sent to one or more of the memory caching nodes. As such, each memory caching node may comprise a current version of the configuration of the cache cluster.
As one example, a cache cluster may have four memory caching nodes servicing a web application making requests to a database. Because of heavy traffic, a fifth memory caching node may be brought on line to aid in the servicing of requests between the web application and the database. The memory caching node may be brought online by, as one example, a management system which may provision computing resources for the fifth node and cause the fifth node to spin up as a portion of the cache cluster. After bringing the fifth memory caching node online, the management system may update the configuration for the cache cluster to incorporate the fifth memory caching node. The updated configuration may be pushed to one or more of the memory caching nodes for storage and retrieval. In one embodiment, the clients may receive the updated configuration from a memory caching node without contacting the configuration endpoint. In another embodiment, a static configuration endpoint may receive an update to an alias referencing a memory caching node that comprises the updated configuration. Clients of the cache cluster may receive the alias from the configuration endpoint and receive the updated configuration to minimize caching disturbances.
Configurations may be delivered to clients in a plurality of ways. In one embodiment, a pre-defined configuration endpoint can be queried by a client driver to resolve an address for a memory caching node from which to request a current configuration. The configuration endpoint may be statically declared such that support software, including a client driver for the client system may be able to resolve an alias provided by the configuration endpoint to a memory caching node from which a configuration may be obtained. The configuration can describe how to access memory caching resources of the cache cluster, including the memory caching nodes. This static declaration of an alias allows for new clients to start, resolve a memory caching node, retrieve a configuration and self-configure to current cache cluster conditions rather than manually configure a new client before starting the new client. In another embodiment, the memory caching nodes can also contain reserved space for storing a configuration which describes the structure of the cache cluster. While normal caching of data can cause data to expire, a section of storage within control of the memory caching node may be partitioned such that configuration may be stored in such reserved configuration space without worry of deletion.
A client already in communication with a memory caching node to may also request a current configuration, if newer than the current configuration from a memory caching node. In one embodiment, the request is made if the configuration stored in the memory caching node has been updated from the current configuration that the client has. In another embodiment, the client may request configurations on a periodic basis or random time basis from one or more memory caching nodes. In another embodiment, instead of responding to a request from a client, new configurations may be pushed to the client by the memory caching node upon the event of a configuration change or any other change to the cache cluster. Further still, the configuration of the cache cluster may be sent out to the client by the memory caching node based on time intervals, such as a periodic, heartbeat, expiration, or random time basis. In an additional embodiment, configurations may be pushed to a client when a client makes a request to access the cache cluster. By providing the current configuration, memory caching nodes may be altered with the expectation that clients will update upon access of a memory caching node.
The term provisioning is meant to be read broadly to include the assignment of a computing resource to a use. In some embodiments, this includes preparing the computing resource for use. In one embodiment, a provisioning of a memory caching node would include the assignment of a server, installation of an operating system, installation and configuration of the memory caching node and enabling the memory caching node for use. For example, a provisioning system may select a server to use as a memory caching node. The provisioning system may then create a workflow that prepares the server for use as a memory caching node. As part of the workflow, a machine image may be loaded on the server. The machine image may include operation system, memory caching software and/or settings. After loading the machine image, the server may be caused to boot into the operating system and receive any further software and/or settings. Such settings may include cache cluster configuration. After provisioning is complete, the server may be turned over to a management system for use as a memory caching node.
Turning now to
In one embodiment, the management system 114 may include a monitoring system that monitors the cache cluster 113 and a provisioning system that adjusts the cache cluster 113. The monitoring may include recording measurements and/or determining indicators relating to the input, output and status of components of the cache cluster 113 and/or the caching service 100 as a whole. The provisioning system may provide such services as provisioning new memory caching nodes, de-provisioning current memory caching nodes and determining new configuration 108 based on the changes performed on the caching cluster 113. For example, a monitoring system may detect that a memory caching node 110 is failing and communicate the problem to the provisioning system. The provisioning system may cause a workflow to be created that provisions a new memory caching node 110, removes the failing memory caching node 110 and updates configuration 108. The provisioning system may then cause the workflow to be executed such that a new memory caching node takes the place of the failing memory caching node, the configuration endpoint is updated with a valid alias and one or more of the memory caching nodes 110 receive the new configuration 108. In one embodiment, the provisioning system need only communicate the configuration to one of the memory caching nodes 110, as the memory caching nodes 110 will then propagate the information between them, such as in a peer-to-peer fashion.
The memory caching node 110 may also provide storage for a configuration 108, the configuration 108 may detail communication parameters with the cache cluster 113. In some embodiments, this configuration 108 may be stored in a reserved configuration space that is not subject to cache expiration rules. In one embodiment, the configuration is stored in a cache 112, and a client or management system 114 ensures frequent enough requests and/or updates to ensure the configuration 108 is available. The configuration 108 may be overwritten and/or updated to keep current with changes to the cache cluster 113.
A configuration endpoint 106 may also be provided to aid in configuration 108 retrieval. In some embodiments, a configuration endpoint 106 is a static resource that may be directly referenced as an alias to a memory caching node for configuration 108 retrieval. For example, new clients may be initialized with a hostname of the configuration endpoint 106. Upon instantiation of a new client, the client may connect with the configuration endpoint 106, resolve an alias to a memory caching node and retrieve the configuration 108 from the memory caching node. By providing the configuration endpoint 106, clients may self-configure rather than start with a list of memory caching nodes that may become obsolete and require maintenance. In some embodiments, a client may continue to retrieve a more current configuration 108 by requesting the configuration 108 from a memory caching node referenced in the alias provided by the configuration endpoint 108 or a memory caching node 110. In one embodiment the configuration endpoint is implemented by domain name system (DNS) services. A client may request a static hostname from the domain name server and receive an IP address that resolves to a memory caching node.
Turning now to
The client driver 204 may manage the communication with the cache cluster 213. In one embodiment, the client driver 204 supports automatic configuration. An initial configuration of the client driver 204 may be small, such as a hostname of a configuration endpoint 206 that provides an alias at which configuration 208 may be obtained. In one embodiment, the alias is provided as part of the configuration endpoint acting as a domain name server. The configuration 208 may include information needed for the client driver 204 to connect to and use the cache cluster 213. For example, an application 202 may provide a hostname and/or address of a configuration endpoint 206 to the client driver 204 as part of initializing the client driver 204. Using the given hostname and/or address, the client driver 204 contacts the configuration endpoint 206 to resolve an alias to a memory caching node 210 and requests a configuration 208 from the memory caching node 210. In one embodiment, this configuration is stored in a reserved memory space of the memory caching node 210 that is not subject to certain cache rules of a protocol implemented by the cache node (such as the memcached protocol and variations thereof), such as eviction. Information in the reserved memory space may be accessed according to an extension to a standard caching protocol, such as memcached. Upon receiving the configuration 208, the client driver 204 may load the configuration 208. Once loaded, the client driver 204 may verify the configuration 208. In one embodiment, the client driver 204 contacts one or more memory caching nodes 210 and verifies the version of the configuration 208 against a configuration version contained in a second memory caching node 210. The client driver 204 may use the most recent configuration 208 discovered. The client driver 204 may then act upon requests for data from the application 202 by requesting the data from one or more memory caching nodes 210 that store the data in their cache 212. Periodically, the client driver 204 may check the loaded configuration version against configuration versions stored by the memory caching nodes 210. The client driver 204 may elect to use the newest configuration discovered, which may be the current version loaded in the client driver 204. By loading the configuration 208, the client driver can react to dynamic changes in the cache cluster 213. For example, the configuration 208 may identify memory caching nodes 210 that are added or removed from the cache cluster 213. By loading the configuration, the client driver 204 may react to any changes in the cache cluster 213 infrastructure without instruction from the application 202.
Loading the configuration may synchronize, with other computing systems, a client driver's information about the cache cluster. In one embodiment, several client drivers 204 exist at the same time to serve multiple instances of a web application, each on its own server. Synchronizing a configuration of the cache cluster 213 allows each client driver 204 to properly populate and request information from memory caching node 210 that form the cache cluster 213. For examples of populating and cache requests of memory caching nodes, see
The client driver 204 and caching nodes 210 may communicate using a standard protocol, such as a memcached protocol, and extensions to the protocol. For example, caching operations may use the standard protocol, while configuration operations may use extensions to the protocol, such as additions to a command set of the protocol. In some embodiments, the extension operations operable on the reserved configuration storage may include create, retrieve, update and destroy operations. Other extension operations may include a get configuration version operation, other metadata manipulation operations and a propagate configuration request.
A management system 214 may be one or more computing resources responsible for management of other systems. In
In one embodiment, the management system 214 may use a monitoring system and react to perceived problems with the caching service 200. For example, if a failure occurs in a failed memory caching node 210, the failed memory caching node may be de-provisioned and removed from the cache cluster 213. A new memory caching node 210 may be provisioned to replace the failed memory caching node and recover from loss of the failed memory caching node. In other examples, the failed memory caching node may be repaired by replacing, reinitializing and recovering the memory caching node. Using the changes made to the cache cluster 213, the management system 214 may update the configuration 208 and cause the updated configuration 208 to be stored in each memory caching node 210. If needed, the alias provided by the configuration endpoint 206 may also be updated. In another example, the management system 214 provisions a new memory caching node 210 due to an increase in demand for cached data. The management system 214 may update the configuration 208 with the connection information to the new memory caching node 210 and cause the configuration 208 to be stored in memory caching nodes 210.
A configuration may include information necessary to connect to the cache cluster 213. In some embodiments that use a direct connecting configuration, this may include information to directly connect to each memory caching node 210. In other embodiments using a request forwarding configuration, the configuration 208 may identify a memory caching node 210 responsible for the forwarding of requests to a memory caching node 210 that holds the data in cache 212. In one embodiment, a hybrid approach may be taken where direct connection and request forwarding are both available.
Turning now to
Inside the data center 304 may be memory caching nodes 302, internal networking 306, a management system 312, a gateway 310, a configuration endpoint 308 and a client application 309. An memory caching node 302 may be connected to other memory caching nodes 302 through internal networking 306. The memory caching nodes 302 may also be connected with a management system 312. The management system 312 may receive requests to manipulate computing resources, including provisioning resources and changing routing. The memory caching nodes 302 and management system 312 may also be connected with a gateway 310. The gateway 310 may filter and route external traffic to a client application 309, such as HTTP traffic to Web servers. For example, a client application 309 may communicate with external systems 316, 318, 320, but memory caching nodes 302 are not allowed external communications.
Outside the data center 304 may be any of a number of different components or environments, and may include the Internet 305 and various external computing systems such as desktops 316, laptops 318 and mobile devices 320, such as electronic book readers, mobile phones, tablet computing devices, etc. The systems 316, 318, 320 may be viewed as untrusted because the systems 316, 318, 320 may not be administered by a trusted administrator. Further, the communication channels, such as the Internet, are not controlled by a trusted administrator. Thus, a message from an external computing system 316, 318, 320 may be intercepted, counterfeited and/or exploited.
In some cases, and for protective reasons, client applications 309 on a secure internal network 306 may only be given the Internet 305 access required to operate, if any at all. For example, a Web server in a data center 304 may only receive outside traffic on port 80 because a gateway 310 provides access controls to the secure internal network that prevent all other Internet 305 traffic from directly reaching the Web server. In another example, a memory caching node 302 on a secure internal network 306 may not be connected to the Internet 305 because it is only queried by a local Web server over the secure internal network. In other embodiments, a client application 309 may be behind a load balancer, which may occasionally direct Internet 305 requests to the client application 309.
Turning now to
A memory caching node 402 may be provided that includes cache space 404 and reserved memory space 406. The memory caching node 402 may be serviced by virtual and/or physical hardware, including a virtual machine. The memory caching node may receive key/values pairs 410 to store within the cache space 404. The key-values 410 may have an expiration time, as well as early expiration depending on whether the memory caching node 402 runs out of cache space 404. The memory caching node 402 may use an algorithm to determine which key-value pairs 410 may be expired early. In some embodiments, a least-frequently used algorithm is used to determine which items are expired early when a cache is full. In other embodiments, a cost of querying the data store may be factored in. In one embodiment, the expiration may be based on which key-value pairs 410 are not expected to be frequently accessed in the future. The memory caching node 402 may also provide storage for a configuration 412 detailing communication parameters with the cache cluster 413. In some embodiments, this configuration 412 may be stored in a reserved memory space 406 that is not subject to expiration. In one embodiment, the configuration 412 is stored in the cache space 404, but a client or management system 416 ensures frequent enough requests and/or updates to ensure the configuration 412 is available. The configuration 412 may be overwritten and/or updated to keep current with changes to the cache cluster 413.
A configuration endpoint 414 may also be provided to aid in configuration 412 retrieval. In some embodiments, a configuration endpoint 414 is a static resource that may be directly referenced as an alias to a memory caching node for configuration 412 retrieval. For example, new clients may be initialized with a hostname of the configuration endpoint 414. Upon instantiation of a new client, the client may connect with the configuration endpoint 414 resolve an alias to a memory caching node 402 and retrieve the configuration 412 from the memory caching node 402. By providing the configuration endpoint 414, clients may self-configure rather than start with a list of memory caching nodes 402 that may become obsolete and require maintenance. In some embodiments, a client may continue to retrieve a more current configuration 412 by requesting the configuration 412 from a memory caching node 402 referenced in the alias provided by the configuration endpoint 414 or a memory caching node 402 directly.
In one embodiment, the management system 416 assumes responsibility for the configuration 412. In another embodiment, memory caching nodes 402 may be cluster-aware such that, as new memory caching nodes 402 are detected, they may be added to the configuration 412. In another embodiment, the management system 416 may store an updated configuration 412 in an identified memory caching node 402, such as a memory caching node 402 identified by an alias maintained by the configuration endpoint 414. Each memory caching nodes 402 may then monitor the identified memory caching node 402 for changes and download the configuration 412 when it is determined that the configuration 412 has changed. In some embodiments, the identified memory caching node 402 may distribute and/or notify other memory caching node 402 in the cache cluster 413 of changes to configuration 412. By obtaining an updated configuration 412, a client may adapt to dynamically changing memory caching nodes 402 within the caching cluster 413.
A memory caching node 413 may follow a protocol that includes rules governing cached data. In one embodiment, the rules specify cache eviction upon a last recently used basis when the cache space 404 is full. In another embodiment, the rules allow cached data, such as the key-value pair 410 to be associated with a time to live after which the data will no longer be available. In some embodiments, the protocol governing cached data has been extended such that configuration 412 stored in the reserved configuration space 402 is not subject to the rules governing cache eviction and/or time to live.
Turning now to
In some embodiments, request forwarding may occur. For example, a client driver 504 may make a request for data to a first memory caching node 510 that may forward the request to a second memory caching node 510. If the second memory caching node 510 does not have the data requested in cache 512, the second memory caching node 510 may forward the request to the data store 514. The data store may return the requested data, either through the same path or directly to the client driver 504. An advantage of request forwarding is that the client driver 504 need not have a current configuration 508. However, the delays may be more significant than direct communication with a memory caching node 510.
Turning now to
In some embodiments, a configuration endpoint 610 is ensured for high availability, as new applications 602 rely on the availability of the configuration endpoint alias. The configuration endpoint 610 may be access restricted based on the request or an identifier associated with the request, such as requesting IP address, destination IP address and/or credentials.
In the use phase 614, the client driver 604 may act as an interface between the application 602 and the cache cluster 613. In some embodiments, this interface may be done with an API and/or code library. The application 602 may send a request for data 616 that is analyzed by the client driver 604 to determine which memory caching node 620 may have the requested data in its cache. The client driver 604 may then send the request 616 for data in a format recognized by the memory caching node 620. If the data is found within the memory caching node 620, the memory caching node 620 returns the data 618 to the client driver 604. The client driver 604 may then return the data 618 to the application 602. However, if the data is not found within the memory caching node 620, the client driver's request may fail and/or be redirected to the data store.
In some embodiments, the data in a request 616 may be serviced by more than one memory caching node 620 in a cache cluster 613. In one embodiment, this redundancy may be due to cached data that is expensive to recreate. In other embodiments, this redundancy may be due to reducing a server load due to a collection of frequently accessed data. The client driver 604 may use configuration information 612, information from a management system regarding cache cluster 613, request latency from a memory caching node 620 and/or other information or indicators to determine which memory caching node 620 should be contacted for redundant information. In another embodiment, a memory caching node 620 is randomly selected if the data is available from two or more memory caching nodes 620.
In the reconfiguration phase 622, the client driver 604 ensures that its configuration 612 is up to date by comparing its version with a version known to one or more of the memory caching nodes 620. In one embodiment, a client driver 604 may periodically send a request for configuration 608 to one or more memory caching nodes 620. The contacted memory caching nodes 620 may return a stored configuration 612 which may be compared against a configuration used by the client driver 604. In another embodiment, the client driver may request version information of the configuration 612 from the memory caching node 620. The client driver 604 may compare the version information retrieved against version information of a local configuration. If the retrieved information is a newer version, the client driver 604 may request the new version of the configuration 612. For example, version information may be a combination of a serially incremented number and a timestamp. In some embodiments, the client driver may receive an indicator from a memory caching node 620 that a configuration has changed during the use phase 614, such as a secondary return value.
Some or all of the process 700 (or any other processes described herein, or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions and may be implemented as code (e.g., executable instructions, one or more computer programs or one or more applications) executing collectively on one or more processors, by hardware or combinations thereof. The code may be stored on a computer-readable storage medium, for example, in the form of a computer program comprising a plurality of instructions executable by one or more processors. The computer-readable storage medium may be non-transitory.
Turning now to
For example, durability of key-value pairs that are costly to re-calculate may be factored in a decision to make the key-value pair redundant. An algorithm running on a monitoring system within the management system measures frequency of access to determine which key-value pairs will be made redundant. Using the result of the algorithm, the management system may cause a provisioning system to distribute the key-value pairs across two or more memory caching nodes. After distributing the key-value pairs, the management system may then update a configuration and cause the configuration to be stored by memory caching nodes that form part of a cache cluster. In some embodiments, this algorithm may be modified to weigh the costs of key-value pairs, such that costly and frequently accessed key-value pairs may be made redundant. In some embodiments that require further redundancy, multiple configuration endpoints may be used to increase durability.
In some embodiments, the key-value pair may be transferred rather than made redundant. For example, a memory caching node under load may select a range of keys to offload to a second memory caching node. In some cases, the memory caching node under load may have to continue servicing the range of keys until all or most of clients update their configuration.
In some embodiments, configurations may be propagated between memory caching nodes. For example, once a memory caching node receives a configuration, the memory caching node may attempt to distribute the configuration to other memory caching nodes in the configuration. In this way the memory caching nodes may work in using peer-to-peer communication to propagate configuration to each memory caching node. In one embodiment, memory caching nodes in a cache cluster may track nodes within the cache cluster such that changes to the cache cluster are monitored by the memory caching nodes themselves. A memory caching node that notices an addition or subtraction of a memory caching node, or is the subject of the addition or subtraction, may create a new configuration to distribute to the other memory caching nodes.
It should be recognized that the use of the term client driver does not necessarily refer to software that directly supports hardware. The client driver is code executed by a computing resource that at least manages communication between an application and a distributed cache cluster. In some embodiments, this is accomplished by a library. For example, a developer may call functions within a library to perform the phases seen and discussed in relation to
It should be recognized that the use of the term memory caching node is used as a broad term that covers more than just the specific examples above. Other caching types are included in this term. Other examples of memory caching nodes include persistent caching systems and disk caching systems. In one embodiment, a persistent caching system is used such that a cache state is saved to avoid losing the cache. In another embodiment, a disk caching system may be used.
Keys Z (1110), Y (1112), X (1114) and W (1116) correspond to caching angles measured from a reference angle 1101, such as, for example, angles 1126, 1130, 1132 and 1134, shown on circle 1102. The keys may be input into a hashing function that returns a corresponding caching angle. A memory caching node may be assigned at least one caching angle along circle 1102. Larger memory caching nodes may be assigned more caching angles, which may grant a larger coverage over the circle 1102. It is understood that the number of hashes can differ per angle. For example, memory caching node assignments to memory caching node A include caching angle 1104 and caching angle 1106. A key is assigned to a memory caching node first encountered travelling clockwise around the circle from a caching angle corresponding to the key. For example, caching angle 1130 determined from a hash of key Z 1110 is followed clockwise 1138 to the caching angle assignment 1 (1104) of memory caching node A.
In
Memory caching node assignments may be accomplished by several different methods. In one embodiment, the client driver comprises code configured to assign memory caching nodes within the mapping. In such an embodiment, the client may be aware of the angles on the mapping that are “hot” and as such require an additional node to offload one or more requests. In another embodiment, a management system may aid a client driver in assigning caching angles. For example, a management system monitors the access of keys and determines an optimum placement of assignments to reduce server loads on memory caching nodes. The management system may be aware of one or more aspects of the cache cluster in general as well as added nodes that it may provide as “hints” to the client driver.
In another embodiment, one or more clients monitor usage of the memory caching nodes. If needed, a client may request provisioning of a new memory caching node to add to the cache cluster. For example, a client may determine that a latency of a response from a memory caching node has increased beyond an acceptable threshold. As another example, the client may query the memory caching node using a protocol extension or reviewing an access log, the client determines that one or more keys are accessed with a frequency above a threshold. The client may then request that a provisioning system provision a new memory caching node. The client may then assign the memory caching node one or more caching angles.
In one example, shown in
In another example, an access history of Key W 1116 may be such that Key W 1116 should be serviced by more than one memory caching node. This replication of the key space may be due to load, difficulty of calculation of the underlying cached value or other replication need. As shown in
In yet another example, a management system may also determine that the key space covered by caching angle 1105 assigned to memory caching node B, assignment 2 should be smaller. A caching angle 1122 assignment 3 to memory caching node C is added between assigned caching angles 1105 and 1106. As may be noted in
It should be recognized that while the memory caching angle assignments have been discussed in terms of three or less assignments, actual use may be higher including hundreds, thousands, millions or more of caching assignments. The few assignments shown are for simplifying discussion.
While memory caching nodes have been used for illustration of various aspects of the present disclosure, it should be recognized that the structures and processes described may also be more broadly applied to storage nodes and clusters of computing resources in general. For example, a storage node may include a memory caching node, databases and read-replicas. In one embodiment, membership information of a cluster of nodes is shared with clients of the nodes. For example, the processes and structures may be used in database scaling. Configuration of read-replicas may be stored in a configuration space on a database server. Clients of the database server may detect changes, such as additions or subtractions, to the read-replicas by requesting the configuration from a read-replica, using client configuration update techniques described above. In another example, the processes and structures may be used in database clustering. A cluster configuration may be stored in the database itself alongside the data that makes up the distributed data store of the cluster, which may be retrieved by clients of the database. This allows the client initialization to be decoupled from server resources.
The illustrative environment includes at least one application server 1308 and a data store 1310. It should be understood that there can be several application servers, layers, or other elements, processes or components, which may be chained or otherwise configured, which can interact to perform tasks such as obtaining data from an appropriate data store. As used herein the term “data store” refers to any device or combination of devices capable of storing, accessing and retrieving data, which may include any combination and number of data servers, databases, data storage devices and data storage media, in any standard, distributed or clustered environment. The application server can include any appropriate hardware and software for integrating with the data store as needed to execute aspects of one or more applications for the client device, handling a majority of the data access and business logic for an application. The application server provides access control services in cooperation with the data store, and is able to generate content such as text, graphics, audio and/or video to be transferred to the user, which may be served to the user by the Web server in the form of HTML, XML or another appropriate structured language in this example. The handling of all requests and responses, as well as the delivery of content between the client device 1302 and the application server 1308, can be handled by the Web server. It should be understood that the Web and application servers are not required and are merely example components, as structured code discussed herein can be executed on any appropriate device or host machine as discussed elsewhere herein.
The data store 1310 can include several separate data tables, databases or other data storage mechanisms and media for storing data relating to a particular aspect. For example, the data store illustrated includes mechanisms for storing production data 1312 and user information 1316, which can be used to serve content for the production side. The data store also is shown to include a mechanism for storing log data 1314, which can be used for reporting, analysis or other such purposes. It should be understood that there can be many other aspects that may need to be stored in the data store, such as for page image information and to access right information, which can be stored in any of the above listed mechanisms as appropriate or in additional mechanisms in the data store 1310. The data store 1310 is operable, through logic associated therewith, to receive instructions from the application server 1308 and obtain, update or otherwise process data in response thereto. In one example, a user might submit a search request for a certain type of item. In this case, the data store might access the user information to verify the identity of the user, and can access the catalog detail information to obtain information about items of that type. The information then can be returned to the user, such as in a results listing on a Web page that the user is able to view via a browser on the user device 1302. Information for a particular item of interest can be viewed in a dedicated page or window of the browser.
Each server typically will include an operating system that provides executable program instructions for the general administration and operation of that server, and typically will include a computer-readable storage medium (e.g., a hard disk, random access memory, read only memory, etc.) storing instructions that, when executed by a processor of the server, allow the server to perform its intended functions. Suitable implementations for the operating system and general functionality of the servers are known or commercially available, and are readily implemented by persons having ordinary skill in the art, particularly in light of the disclosure herein.
The environment in one embodiment is a distributed computing environment utilizing several computer systems and components that are interconnected via communication links, using one or more computer networks or direct connections. However, it will be appreciated by those of ordinary skill in the art that such a system could operate equally well in a system having fewer or a greater number of components than are illustrated in
The various embodiments further can be implemented in a wide variety of operating environments, which in some cases can include one or more user computers, computing devices or processing devices which can be used to operate any of a number of applications. User or client devices can include any of a number of general purpose personal computers, such as desktop or laptop computers running a standard operating system, as well as cellular, wireless and handheld devices running mobile software and capable of supporting a number of networking and messaging protocols. Such a system also can include a number of workstations running any of a variety of commercially-available operating systems and other known applications for purposes such as development and database management. These devices also can include other electronic devices, such as dummy terminals, thin-clients, gaming systems and other devices capable of communicating via a network.
Most embodiments utilize at least one network that would be familiar to those skilled in the art for supporting communications using any of a variety of commercially-available protocols, such as TCP/IP, OSI, FTP, UPnP, NFS, CIFS and AppleTalk. The network can be, for example, a local area network, a wide-area network, a virtual private network, the Internet, an intranet, an extranet, a public switched telephone network, an infrared network, a wireless network and any combination thereof.
In embodiments utilizing a Web server, the Web server can run any of a variety of server or mid-tier applications, including HTTP servers, FTP servers, CGI servers, data servers, Java servers and business application servers. The server(s) also may be capable of executing programs or scripts in response requests from user devices, such as by executing one or more Web applications that may be implemented as one or more scripts or programs written in any programming language, such as Java®, C, C# or C++, or any scripting language, such as Perl, Python or TCL, as well as combinations thereof. The server(s) may also include database servers, including without limitation those commercially available from Oracle®, Microsoft®, Sybase® and IBM®.
The environment can include a variety of data stores and other memory and storage media as discussed above. These can reside in a variety of locations, such as on a storage medium local to (and/or resident in) one or more of the computers or remote from any or all of the computers across the network. In a particular set of embodiments, the information may reside in a storage-area network (“SAN”) familiar to those skilled in the art. Similarly, any necessary files for performing the functions attributed to the computers, servers or other network devices may be stored locally and/or remotely, as appropriate. Where a system includes computerized devices, each such device can include hardware elements that may be electrically coupled via a bus, the elements including, for example, at least one central processing unit (CPU), at least one input device (e.g., a mouse, keyboard, controller, touch screen or keypad), and at least one output device (e.g., a display device, printer or speaker). Such a system may also include one or more storage devices, such as disk drives, optical storage devices, and solid-state storage devices such as random access memory (“RAM”) or read-only memory (“ROM”), as well as removable media devices, memory cards, flash cards, etc.
Such devices also can include a computer-readable storage media reader, a communications device (e.g., a modem, a network card (wireless or wired), an infrared communication device, etc.) and working memory as described above. The computer-readable storage media reader can be connected with, or configured to receive, a computer-readable storage medium, representing remote, local, fixed and/or removable storage devices as well as storage media for temporarily and/or more permanently containing, storing, transmitting and retrieving computer-readable information. The system and various devices also typically will include a number of software applications, modules, services or other elements located within at least one working memory device, including an operating system and application programs, such as a client application or Web browser. It should be appreciated that alternate embodiments may have numerous variations from that described above. For example, customized hardware might also be used and/or particular elements might be implemented in hardware, software (including portable software, such as applets) or both. Further, connection to other computing devices such as network input/output devices may be employed.
Storage media and computer readable media for containing code, or portions of code, can include any appropriate media known or used in the art, including storage media and communication media, such as but not limited to volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage and/or transmission of information such as computer readable instructions, data structures, program modules or other data, including RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other medium which can be used to store the desired information and which can be accessed by the a system device. Based on the disclosure and teachings provided herein, a person of ordinary skill in the art will appreciate other ways and/or methods to implement the various embodiments.
The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense. It will, however, be evident that various modifications and changes may be made thereunto without departing from the broader spirit and scope of the invention as set forth in the claims.
Other variations are within the spirit of the present disclosure. Thus, while the disclosed techniques are susceptible to various modifications and alternative constructions, certain illustrated embodiments thereof are shown in the drawings and have been described above in detail. It should be understood, however, that there is no intention to limit the invention to the specific form or forms disclosed, but on the contrary, the intention is to cover all modifications, alternative constructions and equivalents falling within the spirit and scope of the invention, as defined in the appended claims.
The use of the terms “a” and “an” and “the” and similar referents in the context of describing the disclosed embodiments (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The terms “comprising,” “having,” “including,” and “containing” are to be construed as open-ended terms (i.e., meaning “including, but not limited to,”) unless otherwise noted. The term “connected” is to be construed as partly or wholly contained within, attached to, or joined together, even if there is something intervening. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided herein, is intended merely to better illuminate embodiments of the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed element as essential to the practice of the invention.
Preferred embodiments of this disclosure are described herein, including the best mode known to the inventors for carrying out the invention. Variations of those preferred embodiments may become apparent to those of ordinary skill in the art upon reading the foregoing description. The inventors expect skilled artisans to employ such variations as appropriate, and the inventors intend for the invention to be practiced otherwise than as specifically described herein. Accordingly, this invention includes all modifications and equivalents of the subject matter recited in the claims appended hereto as permitted by applicable law. Moreover, any combination of the above-described elements in all possible variations thereof is encompassed by the invention unless otherwise indicated herein or otherwise clearly contradicted by context.
All references, including publications, patent applications and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
| Number | Name | Date | Kind |
|---|---|---|---|
| 6243814 | Matena | Jun 2001 | B1 |
| 6606643 | Emens | Aug 2003 | B1 |
| 7197632 | Rao et al. | Mar 2007 | B2 |
| 7406473 | Brassow et al. | Jul 2008 | B1 |
| 8271652 | Ezolt et al. | Sep 2012 | B2 |
| 8601101 | Singh | Dec 2013 | B1 |
| 8805949 | Aviles | Aug 2014 | B2 |
| 8856335 | Yadwadkar et al. | Oct 2014 | B1 |
| 20020042693 | Kampe | Apr 2002 | A1 |
| 20030191927 | Joy et al. | Oct 2003 | A1 |
| 20030236800 | Goeltzenleuchter et al. | Dec 2003 | A1 |
| 20040197079 | Latvala | Oct 2004 | A1 |
| 20040243673 | Goyal | Dec 2004 | A1 |
| 20040249904 | Moore | Dec 2004 | A1 |
| 20050015471 | Zhang et al. | Jan 2005 | A1 |
| 20060037016 | Saha et al. | Feb 2006 | A1 |
| 20060053337 | Pomaranski et al. | Mar 2006 | A1 |
| 20070204061 | Chen et al. | Aug 2007 | A1 |
| 20080031238 | Harmelin | Feb 2008 | A1 |
| 20080059721 | Turner et al. | Mar 2008 | A1 |
| 20090006531 | Gillum et al. | Jan 2009 | A1 |
| 20090144388 | Gross | Jun 2009 | A1 |
| 20090144800 | Black-Ziegelbein et al. | Jun 2009 | A1 |
| 20090182836 | Aviles et al. | Jul 2009 | A1 |
| 20090276540 | Ahn et al. | Nov 2009 | A1 |
| 20090313436 | Krishnaprasad et al. | Dec 2009 | A1 |
| 20100030914 | Sparks et al. | Feb 2010 | A1 |
| 20100030964 | Aciicmez | Feb 2010 | A1 |
| 20100281216 | Patel et al. | Nov 2010 | A1 |
| 20100299553 | Cen | Nov 2010 | A1 |
| 20110082908 | Ban et al. | Apr 2011 | A1 |
| 20120059832 | Zamarreno et al. | Mar 2012 | A1 |
| 20120144232 | Griffith et al. | Jun 2012 | A1 |
| 20120151245 | Chang et al. | Jun 2012 | A1 |
| 20120166394 | Kim et al. | Jun 2012 | A1 |
| 20120191773 | Appleton | Jul 2012 | A1 |
| 20120191912 | Kadatch et al. | Jul 2012 | A1 |
| 20120254669 | Xia et al. | Oct 2012 | A1 |
| 20120331016 | Janson | Dec 2012 | A1 |
| 20130103787 | Glover | Apr 2013 | A1 |
| 20130198350 | Moore et al. | Aug 2013 | A1 |
| 20130262613 | Hayashi et al. | Oct 2013 | A1 |
| 20130262683 | Hayashi et al. | Oct 2013 | A1 |
| 20130332484 | Gajic et al. | Dec 2013 | A1 |
| 20130339385 | Abrams et al. | Dec 2013 | A1 |
| 20130339494 | Mithyantha | Dec 2013 | A1 |
| 20140019798 | Allison et al. | Jan 2014 | A1 |
| 20140317159 | Dhavale | Oct 2014 | A1 |
| 20150378893 | Atkisson | Dec 2015 | A1 |
| Number | Date | Country |
|---|---|---|
| 2002-132568 | May 2002 | JP |
| 2010-009448 | Jan 2010 | JP |
| 2012-059257 | Mar 2012 | JP |
| 2012-208781 | Oct 2012 | JP |
| 2013-205891 | Oct 2013 | JP |
| Entry |
|---|
| Memcached. Datasheet [online]. Wikipedia, 2012 [retrieved on Nov. 29, 2012]. Retrieved from the Internet: <URL: http://en.wikipedia.org/wiki/Memcached>. |
| PCT Application No. PCT/US13/71073, International Search Report and Written Opinion, dated May 14, 2014. |
| U.S. Appl. No. 13/685,596, titled “Distributed Caching Cluster Configuration”, filed Nov. 26, 2012. |
| U.S. Appl. No. 13/685,607, titled “Distributed Caching Cluster Client Configuration”, filed Nov. 26, 2012. |
| U.S. Appl. No. 13/685,620, titled “Replication in Distributed Caching Cluster”, filed Nov. 26, 2012. |
| “Hashing”, Presentation. (Fall 2007), 50 pages. |
| Fitzpatrick Brad, “Distributed Caching with Memcached”,Linux Journal, vol. 2004 Issue 124, Aug. 1, 2004 [retrieved on Sep. 2, 2015] Retrieved from the Internet: <URL: http://www.linuxjournal.com/article/7451 ?page=O,1>, 8 pages. |
| Sedgewick et al., “Algorithms and Data Structures Fall 2007”, (Fall 2007), 1 page. |
| SG11201503721V , “Written Opinion”, dated Sep. 23, 2015, 5 pages. |
| CN201380061676.5 , “Office Action”, dated Nov. 21, 2016, 18 pages. |
| Decandia et al., “Dynamo: Amazon's Highly Available Key-value Store”, Proceedings of Twenty-First ACM SIGOPS Symposium on Operating Systems Principles (2007), pp. 205-220. |
| Mateescu et al., “Hybrid Computing—Where HPC meets grid and Cloud Computing”, Future Generation Computer Systems, vol. 27, Issue 5 (Nov. 3, 2010), pp. 440-453. |
| Best Practices in Evaluating Elastic Load Balancing. [online] Amazon Web Services, Inc., Feb. 27, 2012 [retrieved on Sep. 17, 2016]. Retrieved from the Internet: <URL: http://aws.amazon.com/articles/1636185810492479>, 6 pages. |
| CA2,891,339 , “Office Action”, dated Jul. 5, 2016, 3 pages. |
| EP13857139.3 , “Extended European Search Report”, dated Jul. 7, 2016, 10 pages. |
| JP2015-544115, “Office Action”, dated Aug. 9, 2016, 15 pages. |
| SG11201503721V , “Notice of Decision to Grant”, dated Aug. 2, 2016, 4 pages. |
| CA2,891,339 , “Office Action”, dated Feb. 27, 2017, 5 pages. |
| CN201380061676.5 “Office Action”, dated Apr. 21, 2017, 8 pages. |
| JP2015-544115 , “Office Action”, dated Apr. 3, 2017, 6 pages. |
| Number | Date | Country | |
|---|---|---|---|
| 20140149537 A1 | May 2014 | US |
