Patent Number: 8,793,381

Title: Workload adaptive cloud computing resource allocation

Abstract: A workload associated with a task is assessed with respect to each of a plurality of computing paradigms offered by a cloud computing environment. Adaptive learning is employed by maintaining a table of Q-values corresponding to the computing paradigms and the workload is distributed according to a ratio of Q-values. The Q-values may be adjusted responsive to a performance metric and/or a value, reward, and/or decay function. The workload is then assigned to available computing paradigms to be performed with improved utilization of resources.

Inventors: Baughman; Aaron K. (Silver Spring, MD), Boyer; Linda M. (Ossining, NY), Codella; Christopher F. (LaGrangeville, NY), Darden; Richard L. (Leesburg, VA), Dubyak; William G. (Severna Park, MD), Greenland; Arnold (Silver Spring, MD)

Assignee: International Business Machines Corporation

International Classification: G06F 15/173 (20060101)

Expiration Date: 7/29/12018