Abstract: Embodiments of the present invention manage multiple requests to allocate real world resources in a multi-user environment. A set of resource availability information is stored in a first durable data file for each resource in a plurality of resources provided by a database environment. The database environment is shared between a plurality of users. A decision context is associated with a second durable data file. The decision context is associated with a user interacting with the database environment. The decision context exists for a defined duration of time. A least one resource is determined to have been temporarily allocated to the decision context for the defined duration of time. The second durable data file is updated to indicate that the at least one resource has been temporarily allocated to the decision context. The first durable data file is updated to indicate that the at least one resource is currently unavailable.

Abstract: Embodiments of the present invention manage multiple requests to allocate real world resources in a multi-user environment. A request for interacting with a database environment comprising records of allocations of a plurality of resources is received from a user in a plurality of users. The database environment is shared between the plurality of users. A set of action choices available for the request is provided to the user via the user interface. A set of resources required by each action choice is identified. The set of resources is associated with a decision context. The decision context exists for a period of time. The set of resources are allocated to the user for a duration of the decision context. The allocating prevents the set of resources from being allocated to other users for the duration of the decision context irrespective of a set of actions performed by the other users.

Abstract: A plurality of memory allocators are initialized within a computing system. At least a first memory allocator and a second memory allocator in the plurality of memory allocators are each customizable to efficiently handle a set of different memory request size distributions. The first memory allocator is configured to handle a first memory request size distribution. The second memory allocator is configured to handle a second memory request size distribution. The second memory request size distribution is different than the first memory request size distribution. At least the first memory allocator and the second memory allocator that have been configured are deployed within the computing system in support of at least one application. Deploying at least the first memory allocator and the second memory allocator within the computing system improves at least one of performance and memory utilization of the at least one application.

Abstract: A plurality of memory allocators are initialized within a computing system. At least a first memory allocator and a second memory allocator in the plurality of memory allocators are each customizable to efficiently handle a set of different memory request size distributions. The first memory allocator is configured to handle a first memory request size distribution. The second memory allocator is configured to handle a second memory request size distribution. The second memory request size distribution is different than the first memory request size distribution. At least the first memory allocator and the second memory allocator that have been configured are deployed within the computing system in support of at least one application. Deploying at least the first memory allocator and the second memory allocator within the computing system improves at least one of performance and memory utilization of the at least one application.

Abstract: Various embodiments monitor system noise in a parallel computing system. In one embodiment, at least one set of system noise data is stored in a shared buffer during a first computation interval. The set of system noise data is detected during the first computation interval and is associated with at least one parallel thread in a plurality of parallel threads. Each thread in the plurality of parallel threads is a thread of a program. The set of system noise data is filtered during a second computation interval based on at least one filtering condition creating a filtered set of system noise data. The filtered set of system noise data is then stored.

Abstract: A method, information processing system, and computer readable storage medium, vary a maximum heap memory size for one application of a plurality of applications based on monitoring garbage collection activity levels for the plurality of applications, each application including a heap memory, and unused memory in the heap memory being reclaimed by a garbage collector.

Abstract: Various embodiments predict performance of a system including a plurality of server tiers. In one embodiment, a first set of performance information is collected for a base allocation of computing resources across multiple server tiers in the plurality of sever tiers for a set of workloads. A set of experimental allocations of the computing resources is generated on a tier-by-tier basis. Each of the set of experimental allocations varies the computing resources allocated by the base allocation for a single server tier of the multiple server tiers. A second set of performance information associated with the single server tier for each of the set of experimental allocations is collected for a plurality of workloads. At least one performance characteristic of at least one candidate allocation of computing resources across the multiple server tiers is predicted for a given workload based on the first and second sets of performance information.

Abstract: A plurality of memory allocators are initialized within a computing system. At least a first memory allocator and a second memory allocator in the plurality of memory allocators are each customizable to efficiently handle a set of different memory request size distributions. The first memory allocator is configured to handle a first memory request size distribution. The second memory allocator is configured to handle a second memory request size distribution. The second memory request size distribution is different than the first memory request size distribution. At least the first memory allocator and the second memory allocator that have been configured are deployed within the computing system in support of at least one application. Deploying at least the first memory allocator and the second memory allocator within the computing system improves at least one of performance and memory utilization of the at least one application.

Abstract: A method, information processing system, and computer readable storage medium, vary a maximum heap memory size for one application of a plurality of applications based on monitoring garbage collection activity levels for the plurality of applications, each application including a heap memory, and unused memory in the heap memory being reclaimed by a garbage collector.

Abstract: An information processing system, computer readable storage medium, and method for supporting resilient execution of computer programs. A method provides a resilient store wherein information in the resilient store can be accessed in the event of a failure. The method periodically checkpoints application state in the resilient store. A resilient executor comprises software which executes applications by catching failures. The method uses the resilient executor to execute at least one application. In response to the resilient executor detecting a failure, restoring application state information to the at least one application from a checkpoint stored in the resilient store, the resilient executor resuming execution of the at least one application with the restored application state information.

Abstract: An information processing system, computer readable storage medium, and method for supporting resilient execution of computer programs. A method provides a resilient store wherein information in the resilient store can be accessed in the event of a failure. The method periodically checkpoints application state in the resilient store. A resilient executor comprises software which executes applications by catching failures. The method uses the resilient executor to execute at least one application. In response to the resilient executor detecting a failure, restoring application state information to the at least one application from a checkpoint stored in the resilient store, the resilient executor resuming execution of the at least one application with the restored application state information.

Abstract: Various embodiments predict performance of a system including a plurality of server tiers. In one embodiment, a first set of performance information is collected for a base allocation of computing resources across multiple server tiers in the plurality of sever tiers for a set of workloads. A set of experimental allocations of the computing resources is generated on a tier-by-tier basis. Each of the set of experimental allocations varies the computing resources allocated by the base allocation for a single server tier of the multiple server tiers. A second set of performance information associated with the single server tier for each of the set of experimental allocations is collected for a plurality of workloads. At least one performance characteristic of at least one candidate allocation of computing resources across the multiple server tiers is predicted for a given workload based on the first and second sets of performance information.

Abstract: Various embodiments monitor system noise in a parallel computing system. In one embodiment, at least one set of system noise data is stored in a shared buffer during a first computation interval. The set of system noise data is detected during the first computation interval and is associated with at least one parallel thread in a plurality of parallel threads. Each thread in the plurality of parallel threads is a thread of a program. The set of system noise data is filtered during a second computation interval based on at least one filtering condition creating a filtered set of system noise data. The filtered set of system noise data is then stored.

Abstract: Various embodiments predict performance of a system including a plurality of server tiers. In one embodiment, a first set of performance information is collected for a base allocation of computing resources across multiple server tiers in the plurality of sever tiers for a set of workloads. A set of experimental allocations of the computing resources is generated on a tier-by-tier basis. Each of the set of experimental allocations varies the computing resources allocated by the base allocation for a single server tier of the multiple server tiers. A second set of performance information associated with the single server tier for each of the set of experimental allocations is collected for a plurality of workloads. At least one performance characteristic of at least one candidate allocation of computing resources across the multiple server tiers is predicted for a given workload based on the first and second sets of performance information.

Abstract: Various embodiments monitor system noise in a parallel computing system. In one embodiment, at least one set of system noise data is stored in a shared buffer during a first computation interval. The set of system noise data is detected during the first computation interval and is associated with at least one parallel thread in a plurality of parallel threads. Each thread in the plurality of parallel threads is a thread of a program. The set of system noise data is filtered during a second computation interval based on at least one filtering condition creating a filtered set of system noise data. The filtered set of system noise data is then stored.

Abstract: Various embodiments predict performance of a system including a plurality of server tiers. In one embodiment, a first set of performance information is collected for a base allocation of computing resources across multiple server tiers in the plurality of sever tiers for a set of workloads. A set of experimental allocations of the computing resources is generated on a tier-by-tier basis. Each of the set of experimental allocations varies the computing resources allocated by the base allocation for a single server tier of the multiple server tiers. A second set of performance information associated with the single server tier for each of the set of experimental allocations is collected for a plurality of workloads. At least one performance characteristic of at least one candidate allocation of computing resources across the multiple server tiers is predicted for a given workload based on the first and second sets of performance information.

Abstract: An information processing system and computer program storage product for managing objects stored in a shared memory cache. The system includes at least a plurality of cache readers accessing data from the shared memory cache. The system updates data in the shared memory cache using a cache writer. The system maintains a cache replacement process collocated with a cache writer. The cache replacement process makes a plurality of decisions on objects to store in the shared memory cache. Each of the plurality of cache readers maintains information on frequencies with which it accesses cached objects. Each of the plurality of cache readers communicates the maintained information to the cache replacement process. The cache replacement process uses the communicated information on frequencies to make at least one decision on replacing at least one object currently stored in the shared memory cache.

Abstract: A method for managing objects stored in a shared memory cache. The method includes accessing data from the shared memory cache using at least a plurality of cache readers. A system updates data in the shared memory cache using a cache writer. The system maintains a cache replacement process collocated with a cache writer. The cache replacement process makes a plurality of decisions on objects to store in the shared memory cache. Each of the plurality of cache readers maintains information on frequencies with which it accesses cached objects. Each of the plurality of cache readers communicates the maintained information to the cache replacement process. The cache replacement process uses the communicated information on frequencies to make at least one decision on replacing at least one object currently stored in the shared memory cache.

Abstract: A plurality of memory allocators are initialized within a computing system. At least a first memory allocator and a second memory allocator in the plurality of memory allocators are each customizable to efficiently handle a set of different memory request size distributions. The first memory allocator is configured to handle a first memory request size distribution. The second memory allocator is configured to handle a second memory request size distribution. The second memory request size distribution is different than the first memory request size distribution. At least the first memory allocator and the second memory allocator that have been configured are deployed within the computing system in support of at least one application. Deploying at least the first memory allocator and the second memory allocator within the computing system improves at least one of performance and memory utilization of the at least one application.

Abstract: A method, information processing system, and computer readable storage medium, vary a maximum heap memory size for one application of a plurality of applications based on monitoring garbage collection activity levels for the plurality of applications, each application including a heap memory, and unused memory in the heap memory being reclaimed by a garbage collector.