Abstract: A method of distributing functions among a plurality of cores in a multi-core processing environment can include organizing cores of the multi-core processing environment into a plurality of different service pools. Each of the plurality of service pools can be associated with at least one function and have at least one core executing at least one soft co-processor that performs the associated function. The method further can include, responsive to a request from a primary processor to offload a selected function, selecting an available soft co-processor from a service pool associated with the selected function and assigning the selected function to the selected soft co-processor. The method also can include marking the selected soft co-processor as busy and, responsive to receiving an indication from the soft co-processor that processing of the selected function has completed, marking the selected soft co-processor as available.

Abstract: Real-time application metrics of an application executed by a virtual machine are dynamically monitored by a controlling agent and analyzed to determine an optimal configuration of the virtual machine for executing the application. Based on the measured metrics, tunable parameters of the virtual machine may be adjusted to achieve desired application performance.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to XML schema validation and provide a method, system and computer program product for optimized XML schema validation and XML document parsing. In one embodiment, an XML data processing system can include shared memory; an XML co-processing proxy comprising program code enabled to receive at least one of XML document schema validation and XML document parsing requests from client applications, and at least one XML processing element coupled to the shared memory. In particular, the XML processing element can be configured to perform the at least one of the XML schema validation and XML document parsing on XML documents provided by the XML co-processing proxy. The XML processing element further can be configured to place results of XML schema validation or the XML document parsing in the shared memory.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to data synchronization and provide a method, system and computer program product for protocol optimization for client and server synchronization. In one embodiment a protocol optimization method for client and server synchronization can be provided. The method can include receiving server updates from a synchronization server, and applying each update to a client data store in parallel to requesting additional ones of the server updates from the synchronization server before completing the application to the client data store. In one aspect of the embodiment, receiving server updates from a synchronization server can include receiving server update subsets of a singular server update for a synchronization conversation from a synchronization server.

Abstract: A system and method for efficiently transferring virtual machine images across nodes in a cloud computing environment, includes analyzing each image on each node to create hash code clusters and a similarity matrix. An instruction to transfer an image from a source node to a target node is received. The clusters and the similarity matrix are used to determine to what extent the data from the image is already on the source node, or on any other node, and further determines the cost and speed of transferring such data to the target node. An optimal transfer plan is generated, and data that is not already on the target node is transferred to the target node from the most efficient node on which it is available, according to the optimal transfer plan.

Abstract: A method, system and computer program product for optimizing memory usage associated with duplicate string objects in a Java virtual machine. The method comprises scanning a heap of the Java virtual machine at the end of the start-up process of the virtual machine to identify duplicate strings associated with the virtual machine, storing the identified strings in a string cache file, and determining whether a new string that needs to be created during start-up already exists in the string cache file. The duplicate strings are added to an interned strings table. A reference to a duplicate string is returned if a string to be created is already in the string cache file.

Abstract: A system and method for efficiently transferring virtual machine images across nodes in a cloud computing environment, includes analyzing each image on each node to create hash code clusters and a similarity matrix. An instruction to transfer an image from a source node to a target node is received. The clusters and the similarity matrix are used to determine to what extent the data from the image is already on the source node, or on any other node, and further determines the cost and speed of transferring such data to the target node. An optimal transfer plan is generated, and data that is not already on the target node is transferred to the target node from the most efficient node on which it is available, according to the optimal transfer plan.

Abstract: A system and method for efficiently transferring virtual machine images across nodes in a cloud computing environment, includes analyzing each image on each node to create hash code clusters and a similarity matrix. An instruction to transfer an image from a source node to a target node is received. The clusters and the similarity matrix are used to determine to what extent the data from the image is already on the source node, or on any other node, and further determines the cost and speed of transferring such data to the target node. An optimal transfer plan is generated, and data that is not already on the target node is transferred to the target node from the most efficient node on which it is available, according to the optimal transfer plan.

Abstract: A method of determining accuracy of predicted system behavior can include creating a plurality of noise adjusted analytical models, wherein each noise adjusted analytical model is associated with a set of predefined analytical model parameters. A set of inferred analytical model parameters for each noise adjusted analytical model can be derived. Each set of inferred analytical model parameters can depend upon a current noise adjusted analytical model and each prior noise adjusted analytical model. For each set of inferred analytical model parameters, a measure of error between the set of inferred analytical model parameters and the set of predefined analytical model parameters associated with the noise adjusted analytical model from which the set of inferred analytical model parameters was derived can be determined.

Abstract: Real-time application metrics of an application executed by a virtual machine are dynamically monitored by a controlling agent and analyzed to determine an optimal configuration of the virtual machine for executing the application. Based on the measured metrics, tunable parameters of the virtual machine may be adjusted to achieve desired application performance.

Abstract: Real-time application metrics of an application executed by a virtual machine are dynamically monitored by a controlling agent and analyzed to determine an optimal configuration of the virtual machine for executing the application. Based on the measured metrics, tunable parameters of the virtual machine may be adjusted to achieve desired application performance.

Abstract: Real-time application metrics of an application executed by a virtual machine are dynamically monitored by a controlling agent and analyzed to determine an optimal configuration of the virtual machine for executing the application. Based on the measured metrics, tunable parameters of the virtual machine may be adjusted to achieve desired application performance.

Abstract: Optimizing an application to reduce local memory usage. At least one executable class file of the application can be instrumented with analysis code, the executable class file including bytecode. The class file can be executed on a virtual machine, wherein during execution the analysis code generates data related to the application's use of local memory. The data related to the application's use of the local memory can be analyzed to generate a memory profile analysis. Based on the memory profile analysis, at least one portion of the bytecode can be automatically revised to reduce an amount of the local memory used by the application.

Abstract: A method of optimizing an application to reduce local memory usage. The method can include instrumenting at least one executable class file of the application with analysis code, the executable class file including bytecode. The method also can include executing the class file on a virtual machine, wherein during execution the analysis code generates data related to the application's use of local memory. The method further can include, via a processor, analyzing the data related to the application's use of the local memory to generate a memory profile analysis. The method further can include, based on the memory profile analysis, automatically revising at least one portion of the bytecode to reduce an amount of the local memory used by the application.

Abstract: A method, system and computer program product for optimizing memory usage associated with duplicate string objects in a Java virtual machine. The method comprises scanning a heap of the Java virtual machine at the end of the start-up process of the virtual machine to identify duplicate strings associated with the virtual machine, storing the identified strings in a string cache file, and determining whether a new string that needs to be created during start-up already exists in the string cache file. The duplicate strings are added to an interned strings table. A reference to a duplicate string is returned if a string to be created is already in the string cache file.

Abstract: A system and method for efficiently transferring virtual machine images across nodes in a cloud computing environment, includes analyzing each image on each node to create hash code clusters and a similarity matrix. An instruction to transfer an image from a source node to a target node is received. The clusters and the similarity matrix are used to determine to what extent the data from the image is already on the source node, or on any other node, and further determines the cost and speed of transferring such data to the target node. An optimal transfer plan is generated, and data that is not already on the target node is transferred to the target node from the most efficient node on which it is available, according to the optimal transfer plan.

Abstract: A method of distributing functions among a plurality of cores in a multi-core processing environment can include organizing cores of the multi-core processing environment into a plurality of different service pools. Each of the plurality of service pools can be associated with at least one function and have at least one core executing at least one soft co-processor that performs the associated function. The method further can include, responsive to a request from a primary processor to offload a selected function, selecting an available soft co-processor from a service pool associated with the selected function and assigning the selected function to the selected soft co-processor. The method also can include marking the selected soft co-processor as busy and, responsive to receiving an indication from the soft co-processor that processing of the selected function has completed, marking the selected soft co-processor as available.

Abstract: A method of distributing functions among a plurality of cores in a multi-core processing environment can include organizing cores of the multi-core processing environment into a plurality of different service pools. Each of the plurality of service pools can be associated with at least one function and have at least one core executing at least one soft co-processor that performs the associated function. The method further can include, responsive to a request from a primary processor to offload a selected function, selecting an available soft co-processor from a service pool associated with the selected function and assigning the selected function to the selected soft co-processor. The method also can include marking the selected soft co-processor as busy and, responsive to receiving an indication from the soft co-processor that processing of the selected function has completed, marking the selected soft co-processor as available.

Abstract: A method, system and computer program product for optimizing memory usage associated with duplicate string objects in a Java virtual machine. The method comprises scanning a heap of the Java virtual machine at the end of the start-up process of the virtual machine to identify duplicate strings associated with the virtual machine, storing the identified strings in a string cache file, and determining whether a new string that needs to be created during start-up already exists in the string cache file. The duplicate strings are added to an interned strings table. A reference to a duplicate string is returned if a string to be created is already in the string cache file.

Abstract: Real-time application metrics of an application executed by a virtual machine are dynamically monitored by a controlling agent and analyzed to determine an optimal configuration of the virtual machine for executing the application. Based on the measured metrics, tunable parameters of the virtual machine may be adjusted to achieve desired application performance.