Abstract: A processing system server and methods for performing asynchronous data store operations. The server includes a processor which maintains a cache of objects in communication with the server. The processor executes an asynchronous computation to determine the value of a first object. In response to a request for the first object occurring before the asynchronous computation has determined the value of the first object, a value of the first object is returned from the cache. In response to a request for the first object occurring after the asynchronous computation has determined the value of the first object, a value of the first object determined by the asynchronous computation is returned. The asynchronous computation may comprise at least one future, such as a ListenableFuture, or at least one process or thread. Execution of an asynchronous computation may occur with a frequency correlated with how frequently the object changes or how important it is to have a current value of the object.

Abstract: An information processing system, computer readable storage medium, and a method for managing computer memory. The method includes initializing at least one memory allocator within a computing system; deploying the at least one memory allocator on a multi-user or cloud system where users are charged a monetary fee based on consumption of at least one memory resource; determining, by the at least one memory allocator, a consumption of the at least one memory resource; determining a cost associated with the consumption that has been determined; and determining a monetary fee to charge the user based on the cost that has been determined.

Abstract: A processing system server, computer program product, and methods for performing asynchronous data store operations. The server includes a processor which maintains a cache of objects in memory of the server. The processor executes an asynchronous computation to determine the value of an object. In response to receiving a request for the object occurring before the asynchronous computation has determined the value of the object, a value of the object is returned from the cache. In response to receiving a request for the object occurring after the asynchronous computation has determined the value of the object, a value of the object determined by the asynchronous computation is returned. The asynchronous computation may comprise at least one future, such as a ListenableFuture, or a process or thread. The asynchronous computation may receive different values from at least two servers and may determine the value of an object based on time stamps.

Abstract: A method, system, and computer readable storage medium for managing computer memory by an intelligent memory manager. The intelligent memory manager performs a method including: initializing a memory allocator within an intelligent memory manager in a computing system; allocating, by the memory allocator, a plurality of main memory objects; backing up, with the intelligent memory manager, at least one main memory object in the plurality of main memory objects in a persistent storage utilizing a backup operation; monitoring, with the intelligent memory manager, input-output bandwidth being consumed for storing information in the persistent storage; and modifying, with the intelligent memory manager, the backup operation based on monitoring the bandwidth being consumed.

Abstract: A method, system, and computer readable storage medium for managing computer memory by an intelligent memory manager. The intelligent memory manager performs a method including: deploying a plurality of memory allocators each customizable to efficiently handle a set of different memory request size distributions in support of at least one application; determining a monetary fee to charge a user based on consumption of memory resources; and determining a frequency of backing up a main memory object in a persistent storage based on a bandwidth consumed by storing the main memory object in the persistent storage.

Abstract: A processing system server, computer program product, and methods for performing asynchronous data store operations. The server includes a processor which maintains a cache of objects in memory of the server. The processor executes an asynchronous computation to determine the value of an object. In response to receiving a request for the object occurring before the asynchronous computation has determined the value of the object, a value of the object is returned from the cache. In response to receiving a request for the object occurring after the asynchronous computation has determined the value of the object, a value of the object determined by the asynchronous computation is returned. The asynchronous computation may comprise at least one future, such as a ListenableFuture, or a process or thread. The asynchronous computation may determine the value of the object by querying at least one additional server.

Abstract: A method, information processing system, and computer readable storage medium, periodically monitor, with a processing system, information related to an application's memory usage including a maximum heap memory size and a garbage collection activity level. Based on determining that the garbage collection activity level is below a first threshold, releasing memory from the application by reducing the maximum heap memory size.

Abstract: Methods, systems and computer program products for enhanced storage clients. An interface for using a storage service is provided. The interface for each storage service of a plurality of storage services can be implemented within a storage client. A cache can be integrated within the storage client for reducing a number of accesses to a storage service of the plurality of storage services. A compression method in the storage client can reduce a size of data objects. An encryption method in the storage client can preserve data privacy. An application can select at least one storage service of the plurality of storage services and use the at least one storage service via the storage client.

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: A method, information processing system, and computer readable storage medium, periodically monitor, with a processing system, information related to an application's memory usage including a maximum heap memory size, an in use heap memory size, and a garbage collection activity level. Based on determining that the garbage collection activity level is below a first threshold, estimating an amount of memory that can be released from the application by reducing the maximum heap memory size. Based on determining that the estimated amount of memory that can be released from the application is above a second threshold, attempting to release memory from the application.

Abstract: A computer-implemented method, system, and computer program product, for enhanced storage clients. The computer-implemented method includes implementing an interface within a storage client, wherein the interface specifies at least one method or function to be implemented in a computer language for accessing each of a plurality of storage services through the interface. The storage client receives a request from an application, wherein the request is compatible with the interface. The storage client has an ability to communicate with each of the plurality of storage services to satisfy the request. The storage client communicates with at least one of the plurality of storage services to satisfy the request.

Abstract: A method, system, and computer program product for data compression in storage clients. In some embodiments, a storage client for accessing a storage service from a computer program is provided. A compression method is provided in the storage client to reduce a size of data objects. A frequency of compressing data from the computer program or modifying a compression algorithm based on assessing costs and benefits of compressing the data is varied.

Abstract: Methods, systems and computer program products for enhanced storage clients. An interface for using a storage service is provided. The interface for each storage service of a plurality of storage services can be implemented within a storage client. A cache can be integrated within the storage client for reducing a number of accesses to a storage service of the plurality of storage services. A compression method in the storage client can reduce a size of data objects. An encryption method in the storage client can preserve data privacy. An application can select at least one storage service of the plurality of storage services and use the at least one storage service via the storage client.

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 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: A method, information processing system, and computer readable storage medium, periodically monitor, with a processing system, information related to an application's memory usage including a maximum heap memory size, an in use heap memory size, and a garbage collection activity level. Based on determining that the garbage collection activity level is below a first threshold, estimating an amount of memory that can be released from the application by reducing the maximum heap memory size. Based on determining that the estimated amount of memory that can be released from the application is above a second threshold, attempting to release memory from the application.

Abstract: A processing system, computer program product, and methods for maintaining consistent values of objects in two or more stores. A method includes a data store associating an update time for each object of a plurality of objects wherein each object of the plurality of objects resides on the data store. The data store maintains a data structure ordering the plurality of objects by update times. The data store periodically examines the data structure to read update times. The data store makes a decision to notify another data store of a change to an object belonging to the plurality of objects based on an update time of the object. The data structure can be a balanced tree.