The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 04, 2012
Filed:
Jun. 28, 2010
Khang Can, Framingham, MA (US);
Xiangping Chen, Shrewsbury, MA (US);
Monica Chaudhary, South Grafton, MA (US);
Kevin Bangyen Jiang, Waltham, MA (US);
Qin Tao, Hopkinton, MA (US);
Mark Ku, Wollaston, MA (US);
Khang Can, Framingham, MA (US);
Xiangping Chen, Shrewsbury, MA (US);
Monica Chaudhary, South Grafton, MA (US);
Kevin Bangyen Jiang, Waltham, MA (US);
Qin Tao, Hopkinton, MA (US);
Mark Ku, Wollaston, MA (US);
EMC Corporation, Hopkinton, MA (US);
Abstract
A storage processor of a data storage system includes a data relocation task scheduler that provides system limit control on the execution of data relocation requests. The data relocation task scheduler also provides fairness and concurrency limit enforcement by scheduling relocation requests from different provisioning domains, such as storage pools, in a fair manner. For example, the data relocation task scheduler includes stackable sets of pending task queues that store incoming data relocation requests. The data relocation task scheduler applies an iteration scheme to remove data relocation requests from the pending task queues thereby providing scheduling fairness among the queues and among the different provisioning domains within the data storage system. The data relocation task scheduler is configured to receive updated policies that control both system-wide data relocation resource consumption and scheduling fairness among the queues during operation and dynamically adjust current policies with the updated policies.