Abstract: A method of scheduling assignment of resources to a plurality of applications includes: determining shares of the resources assigned to each application during a first period; determining shares of the resources assigned to each application during a second period that occurs after the first period; determining an imbalance value for each application that is based on a sum of the shares assigned to the corresponding application over both periods; and considering requests of the applications for resources in an order that depends on a result of comparing the imbalance values of the applications.

Abstract: A method of scheduling assignment of resources to a plurality of applications includes: determining shares of the resources assigned to each application during a first period; determining shares of the resources assigned to each application during a second period that occurs after the first period; determining an imbalance value for each application that is based on a sum of the shares assigned to the corresponding application over both periods; and considering requests of the applications for resources in an order that depends on a result of comparing the imbalance values of the applications.

Abstract: Methods, systems, and computer program products for cross-platform scheduling with fairness and platform-specific optimization are provided herein. A method includes determining dimensions of a set of containers in which multiple tasks associated with a request are to be executed; assigning each of the containers to a processing node on one of multiple platforms based on the dimensions of the given container, and to a platform owner selected from the multiple platforms based on a comparison of resource requirements of each of the multiple platforms and the dimensions of the given container; and generating container assignments across the set of containers by incorporating the assigned node of each container in the set of containers, the assigned platform owner of each container in the set of containers, one or more scheduling requirements of each of the platforms, one or more utilization objectives, and enforcing a sharing guarantee of each of the platforms.

Abstract: Methods, systems, and computer program products for cross-platform scheduling with fairness and platform-specific optimization are provided herein. A method includes determining dimensions of a set of containers in which multiple tasks associated with a request are to be executed; assigning each of the containers to a processing node on one of multiple platforms based on the dimensions of the given container, and to a platform owner selected from the multiple platforms based on a comparison of resource requirements of each of the multiple platforms and the dimensions of the given container; and generating container assignments across the set of containers by incorporating the assigned node of each container in the set of containers, the assigned platform owner of each container in the set of containers, one or more scheduling requirements of each of the platforms, one or more utilization objectives, and enforcing a sharing guarantee of each of the platforms.

Abstract: Methods, systems, and computer program products for cross-platform scheduling with fairness and platform-specific optimization are provided herein. A method includes determining dimensions of a set of containers in which multiple tasks associated with a request are to be executed; assigning each of the containers to a processing node on one of multiple platforms based on the dimensions of the given container, and to a platform owner selected from the multiple platforms based on a comparison of resource requirements of each of the multiple platforms and the dimensions of the given container; and generating container assignments across the set of containers by incorporating the assigned node of each container in the set of containers, the assigned platform owner of each container in the set of containers, one or more scheduling requirements of each of the platforms, one or more utilization objectives, and enforcing a sharing guarantee of each of the platforms.

Abstract: Methods, systems, and computer program products for cross-platform scheduling with fairness and platform-specific optimization are provided herein. A method includes determining dimensions of a set of containers in which multiple tasks associated with a request are to be executed; assigning each of the containers to a processing node on one of multiple platforms based on the dimensions of the given container, and to a platform owner selected from the multiple platforms based on a comparison of resource requirements of each of the multiple platforms and the dimensions of the given container; and generating container assignments across the set of containers by incorporating the assigned node of each container in the set of containers, the assigned platform owner of each container in the set of containers, one or more scheduling requirements of each of the platforms, one or more utilization objectives, and enforcing a sharing guarantee of each of the platforms.

Abstract: In some embodiments, a system may comprise a database and one or more servers. The database may, for example, store a plurality of content claims for previously evaluated data items, with each of the plurality of content claims being associated in the database with a corresponding stored digital fingerprint of a previously evaluated data item. The server(s) may, for example, be configured to receive a determined digital fingerprint of a data item from a client device on another network node, to submit a query to the database using the determined digital fingerprint as a primary key, and to transmit one or more content claims returned by the query to the client device. In some embodiments, the server(s) may be further configured to receive the content claim(s) and the digital fingerprint associated therewith from one or more computers on another network node, and to cause the received content claim(s) and digital fingerprint associated therewith to be stored in the database.

Abstract: In some embodiments, a system may comprise a database and one or more servers. The database may, for example, store a plurality of content claims for previously evaluated data items, with each of the plurality of content claims being associated in the database with a corresponding stored digital fingerprint of a previously evaluated data item. The server(s) may, for example, be configured to receive a determined digital fingerprint of a data item from a client device on another network node, to submit a query to the database using the determined digital fingerprint as a primary key, and to transmit one or more content claims returned by the query to the client device. In some embodiments, the server(s) may be further configured to receive the content claim(s) and the digital fingerprint associated therewith from one or more computers on another network node, and to cause the received content claim(s) and digital fingerprint associated therewith to be stored in the database.

Abstract: A diagnostic system and method for repairing computing devices comprises a diagnostic application running on a same computing system having a failed operating system (O/S). The diagnostic application is provided with access to the file system of the failed O/S image. The diagnostic software application collects relevant configuration information from the file system of the failed O/S image, and transports this information to a proxy system running the same operating system as the computing device being diagnosed. The proxy system utilizes the collected data to diagnose the subject failed O/S system. Once the proxy makes a determination it synthesizes repair information comprising new or modified files and instructions to be transported back to the diagnostic software system to apply. A network connection is provided between the computer running the diagnostic application and the proxy system that enables data to be easily transported between the two systems without human intervention.

Abstract: A diagnostic system and method for repairing computing devices comprises a diagnostic application running on a same computing system having a failed operating system (O/S). The diagnostic application is provided with access to the file system of the failed O/S image. The diagnostic software application collects relevant configuration information from the file system of the failed O/S image, and transports this information to a proxy system running the same operating system as the computing device being diagnosed. The proxy system utilizes the collected data to diagnose the subject failed O/S system. Once the proxy makes a determination it synthesizes repair information comprising new or modified files and instructions to be transported back to the diagnostic software system to apply. A network connection is provided between the computer running the diagnostic application and the proxy system that enables data to be easily transported between the two systems without human intervention.

Abstract: In a computer system having an operating system and a compressed main memory defining a physical memory and a real memory characterized as an amount of main memory as seen by a processor, and including a compressed memory hardware controller device for controlling processor access to the compressed main memory, there is provided a system and method for managing real memory usage comprising: a compressed memory device driver for receiving real memory usage information from the compressed memory hardware controller, the information including a characterization of the real memory usage state: and, a compression management subsystem for monitoring the memory usage and initiating memory allocation and memory recovery in accordance with the memory usage state, the subsystem including mechanism for adjusting memory usage thresholds for controlling memory state changes.