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.

Date of Patent:
Mar. 05, 2024

Filed:

Oct. 22, 2020
Applicant:

Cisco Technology, Inc., San Jose, CA (US);

Inventors:

Akshya Kumar Singh, Fremont, CA (US);

Sri Goli, Dublin, CA (US);

Amitkumar Patel, Fremont, CA (US);

Ravi Nag Chamarthy, Cupertino, CA (US);

Assignee:

CISCO TECHNOLOGY, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06F 9/455 (2018.01);
U.S. Cl.
CPC ...
G06F 9/5027 (2013.01); G06F 9/45558 (2013.01); G06F 9/505 (2013.01); G06F 9/5083 (2013.01); G06F 2009/4557 (2013.01); G06F 2009/45595 (2013.01);
Abstract

Techniques and mechanisms for managing workloads in compute clusters comprising compute nodes by managing the workloads at the resource level of the compute clusters. For example, virtual service contexts (VSCs) may be defined where the VSCs represent service classes. Policies may be defined with respect to each service class. These service classes are dynamically constructed based on business needs. Hence there is natural requirement for a user to construct and rebalance the compute resources for these service classes dynamically. The policies may be related to resources of the compute clusters for executing workload units in the compute clusters. Resources of the compute clusters may be allocated to each service class. Each workload unit may be assigned to a one of the service classes based on the service context or type of workload unit. The workload units may then be executed by the compute clusters using the resources in accordance with the policies.


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