Optimizing a clustered virtual computing environment
AssigneeInternational Business Machines Corporation
InventorsDeepak A. Deshpande, Bhooshan P. Kelkar
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Abstract
Exemplary embodiments of the present invention disclose a method, computer program product, and system for optimizing a clustered virtual computing environment. In exemplary embodiments, performance attributes are identified for a set of operating devices within the clustered virtual computing environment. Historical data of the identified performance attributes is obtained to create a historical data repository. A rulebase is developed using the historical data repository and input from user. A combined correlation pattern repository is generated using a first correlation pattern, a second correlation pattern and a scale-time invariant weight fraction.
Claims12
A computer program product for optimizing a clustered computing environment, the computer program product comprising:
- one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions comprising:
- program instructions to;
- identify performance attributes for a set of operating devices within the clustered virtual computing environment;
- obtain historical data of the identified performance attributes to create a historical data repository;
- generate a first correlation pattern between the overall demand on the performance attributes on the clustered virtual computing environment and the aggregate availability of the performance attributes of the operating devices in the set of operating devices, using a pre-determined statistical analysis model;
- develop a rulebase using the historical data repository and input from user, wherein the rulebase includes a scale-time invariant weight fraction assigned for scale-time invariant analysis method and at least one of a time window interval for data extraction and length for an acceptable time gap;
- derive a pre-processed data repository using the rulebase and the historical data repository;
- generate a second correlation pattern between the overall demand on the performance attributes on the clustered virtual computing environment and the aggregate availability of the performance attributes of the Operating devices in the set of operating devices using a pre-dete ned scale-time invariant analysis method on the pre-processed data repository;
- and
- generate a combined correlation pattern repository using the first correlation pattern, the second correlation pattern and the scale-time invariant weight fraction.
A computer system for optimizing a clustered computing environment, the computer system comprising:
- one or more computer processors;
- one or more computer-readable storage media;
- program instructions stored on the computer-readable storage media for execution by at least one of the one or more processors, the program instructions comprising;
- program instructions to:
- identify performance attributes for a set of operating devices within the clustered virtual computing environment;
- obtain historical data of the identified performance attributes to create a historical data repository;
- generate a first correlation pattern between the overall demand on the performance attributes on the clustered virtual computing environment and the aggregate availability of the performance attributes of the operating devices in the set of operating devices, using a pre-determined statistical analysis model;
- develop a rulebase using the historical data repository and input from user, wherein the rulebase includes a scale-time invariant weight fraction assigned for scale-tune invariant analysis method and at least one of a time window interval for data extraction and length for an acceptable time gap;
- derive a pre-processed data repository using the rulebase and the historical data repository;
- generate a second correlation pattern between the overall demand on the performance attributes on the clustered virtual computing environment and the aggregate availability of the performance attributes of the operating devices in the set of operating devices using a pre-determined scale-time invariant analysis method on the pre-processed data repository;
- and
- generate a combined, correlation pattern repository using the first correlation pattern, the second correlation pattern and the scale-time invariant weight fraction.
Dependencies are inferred from the claim text.