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:
Sep. 03, 2024

Filed:

Oct. 19, 2022
Applicant:

Netapp, Inc., San Jose, CA (US);

Inventors:

Arindam Banerjee, Fremont, CA (US);

Daniel McCarthy, Erie, CO (US);

Christopher Cason, Boulder, CO (US);

Ananthan Subramanian, San Ramon, CA (US);

Assignee:

NetApp, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 16/27 (2019.01);
U.S. Cl.
CPC ...
G06F 16/27 (2019.01);
Abstract

Systems and methods for scaling application and/or storage system functions of a distributed storage system based on a heterogeneous resource pool are provided. According to one embodiment, the distributed storage system has a composable, service-based architecture that provides scalability, resiliency, and load balancing. The distributed storage system includes a cluster of nodes each potentially having differing capabilities in terms of processing, memory, and/or storage. The distributed storage system takes advantage of different types of nodes by selectively instating appropriate services (e.g., file and volume services and/or block and storage management services) on the nodes based on their respective capabilities. Furthermore, disaggregation of these services, facilitated by interposing a frictionless layer (e.g., in the form of one or more globally accessible logical disks) therebetween, enables independent and on-demand scaling of either or both of application and storage system functions within the cluster while making use of the heterogeneous resource pool.


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