Technology is disclosed for feeding source images from image stores of client systems into an image processing system using image feeding servers (“the technology”). The technology includes multiple image feeding servers that can feed a source image to the image processing system, using which the image processing system can generate processed images to be served to end users. The image feeding servers can be installed at various locations, e.g., geographically spread, and more proximate to where the source images are stored. An image feeding server obtains the source image from the image store in original size, downsizes the source image, and transmits the downsized source image to the image processing system. The technology selects an image feeding server based on a score of the image feeding server. The score can be determined as a function of one or more image feeding server parameters, e.g., latency, workload, or computing resource.

A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid). The client then downloads the data from these peers in parts and in parallel, thereby speeding up the Web transfer, releasing congestion from the Web by fetching the information from multiple sources, and relieving traffic from Web servers by offloading the data transfers from them to nearby peers.

A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid). The client then downloads the data from these peers in parts and in parallel, thereby speeding up the Web transfer, releasing congestion from the Web by fetching the information from multiple sources, and relieving traffic from Web servers by offloading the data transfers from them to nearby peers.

Integrating cloud storage services includes: receiving, by a storage integration service, a request to perform a first data storage operation corresponding to first data; generating, by applying one or more functional operations to the first data, second data; generating, by applying one or more translation operations to the first data storage operation, one or more second data storage operations that correspond to the second data, wherein the one or more second data storage operations correspond to respective one or more cloud storage services; and issuing, by the storage integration service, the one or more second data storage operations to the corresponding one or more cloud storage services.

The disclosed computer-implemented method includes determining that incoming media item requests are to be skewed from a random distribution among server nodes, using a random distribution algorithm, to a directed distribution among the server nodes. The method then includes identifying, in a loading assignment, which media items are to be loaded onto specific server nodes to produce the directed distribution of media item requests. The method next includes preloading the identified media items onto the server nodes according to the loading assignment and receiving media item requests for the preloaded media items. The method then includes routing the received media item requests to the server nodes using the random distribution algorithm, where the random distribution algorithm is skewed to the directed distribution based on the preloading of the media items according to the identified loading assignment. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.

Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.

The present invention discloses a method of distributing service server dynamically. Specifically, the present invention relates to a service server distribution method which allows the modification of system distribution rule. The present invention allows distributing service server data from different group of service servers to different client devices. The system distribution rule which is in the index server at the system end and used for distributing different group of service server data to different client devices may be freely modified. On the other hand, the client devices at the client end may modify the corresponding client distribution rule. The client distribution rule is used to determine establishing the connection between the client device and specific service server. Therefore, the present method of distributing service server dynamically may reduce the load of index server and distribute the service servers which are set up by/for different organization or service type.

A method for allocating resources to applications in a distributed datacenter based on generated contact lists is described. The method includes, receiving, by a first resource manager, a placement request, which identifies resources needed for execution of an application; determining a policy associated with the application; generating a first contact list for the first resource manager based on the determined policy for the application; and searching resources in the distributed datacenter, based on the first contact list, to attempt to meet the identified resources of the placement request.

A method for allocating resources to applications in a distributed datacenter based on generated contact lists is described. The method includes, receiving, by a first resource manager, a placement request, which identifies resources needed for execution of an application; determining a policy associated with the application; generating a first contact list for the first resource manager based on the determined policy for the application; and searching resources in the distributed datacenter, based on the first contact list, to attempt to meet the identified resources of the placement request.