Managing computing deployment in presence of variable workload

US8386995B2 · kind B2 · utility

Assignee

• Google LLC · US

Inventors

• David W. Coleman · New Fairfield, US
• Steven E. Froehlich · Danbury, US
• Joseph L. Hellerstein · Ossining, US
• Lawrence Hsiung · Los Altos, US
• Edwin R. Lassettre · Los Gatos, US
• Todd W. Mummert · Danbury, US
• Mukund Raghavachari · Baldwin Place, US
• Lance W. Russell · Rosanky, US
• Maheswaran Surendra · Croton-on-Hudson, US
• Noshir Cavas Wadia · معلمی نژاد, US
• Peng Ye · Chengdu, CN

Key dates

• Filing date: Jun 15, 2007
• Grant date: Feb 26, 2013
• Expiry date: Sep 22, 2030

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F11/008
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.