Patent application number | Description | Published |
20140047079 | SYSTEM AND METHOD FOR EMULATING A DESIRED NETWORK CONFIGURATION IN A CLOUD COMPUTING SYSTEM - The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes selecting a cluster of nodes for the computing system from a plurality of available nodes coupled to a communication network based on a comparison of a communication network configuration of an emulated node cluster and an actual communication network configuration of the plurality of available nodes. The method further includes modifying a network configuration of at least one node of a cluster of nodes to modify network performance of the at least one node on a communication network coupled to the cluster of nodes. | 02-13-2014 |
20140047084 | SYSTEM AND METHOD FOR MODIFYING A HARDWARE CONFIGURATION OF A CLOUD COMPUTING SYSTEM - The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes determining, based on a shared execution of a workload by a cluster of nodes of the computing system, that at least one node of the cluster of nodes operated at less than a threshold operating capacity during the shared execution of the workload. The method further includes selecting a modified hardware configuration of the cluster of nodes based on the determining such that the cluster of nodes with the modified hardware configuration has at least one of a reduced computing capacity and a reduced storage capacity. | 02-13-2014 |
20140047095 | SYSTEM AND METHOD FOR TUNING A CLOUD COMPUTING SYSTEM - The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes initiating a plurality of executions of a workload on a cluster of nodes based on a plurality of different sets of configuration parameters. The configuration parameters include at least one of an operational parameter of a workload container, a boot-time parameter of at least one node, and a hardware configuration parameter of at least one node. A set of configuration parameters is selected for the cluster of nodes from the plurality of different sets of configuration parameters based on a comparison of at least one performance characteristic of the cluster of nodes monitored during each execution of the workload and at least one desired performance characteristic. The workload is provided to the cluster of nodes for execution. | 02-13-2014 |
20140047227 | SYSTEM AND METHOD FOR CONFIGURING BOOT-TIME PARAMETERS OF NODES OF A CLOUD COMPUTING SYSTEM - The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes providing a user interface comprising selectable boot-time configuration data and selecting, based on at least one user selection of the boot-time configuration data, a boot-time configuration for at least one node of a cluster of nodes of the computing system. The method further includes configuring the at least one node of the cluster of nodes with the selected boot-time configuration to modify at least one boot-time parameter of the at least one node. | 02-13-2014 |
20140047272 | SYSTEM AND METHOD FOR CONFIGURING A CLOUD COMPUTING SYSTEM WITH A SYNTHETIC TEST WORKLOAD - The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes selecting, based on a user selection received via a user interface, a workload for execution on a cluster of nodes of the computing system. The workload is selected from a plurality of available workloads including an actual workload and a synthetic test workload. The method further includes configuring the cluster of nodes of the computing system to execute the selected workload such that processing of the selected workload is distributed across the cluster of nodes. The synthetic test workload may be generated by a code synthesizer based on a set of user-defined workload parameters provided via a user interface that identify execution characteristics of the synthetic test workload. | 02-13-2014 |
20140047341 | SYSTEM AND METHOD FOR CONFIGURING CLOUD COMPUTING SYSTEMS - The present disclosure relates to a method, system, and apparatus for configuring a computing system, such as a cloud computing system. A method includes, based on user selections received via a user interface, configuring a cluster of nodes by selecting the cluster of nodes from a plurality of available nodes, selecting a workload container module from a plurality of available workload container modules for operation on each node of the selected cluster of nodes, and selecting a workload for execution with the workload container on the cluster of nodes. Each node of the cluster of nodes includes at least one processing device and memory, and the cluster of nodes is operative to share processing of a workload. | 02-13-2014 |
20140047342 | SYSTEM AND METHOD FOR ALLOCATING A CLUSTER OF NODES FOR A CLOUD COMPUTING SYSTEM BASED ON HARDWARE CHARACTERISTICS - The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes initiating a hardware performance assessment test on a group of available nodes to obtain actual hardware performance characteristics of the group of available nodes. The method further includes selecting a subset of nodes for the computing system from the group of available nodes based on a comparison of the actual hardware performance characteristics of the group of available nodes and desired hardware performance characteristics. | 02-13-2014 |
20140258688 | BENCHMARK GENERATION USING INSTRUCTION EXECUTION INFORMATION - Methods and systems are provided for generating a benchmark representative of a reference process. One method involves obtaining execution information for a subset of the plurality of instructions of the reference process from a pipeline of a processing module during execution of those instructions by the processing module, determining performance characteristics quantifying the execution behavior of the reference process based on the execution information, and generating the benchmark process that mimics the quantified execution behavior of the reference process based on the performance characteristics. | 09-11-2014 |