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:
Feb. 10, 2026

Filed:

Oct. 24, 2024
Applicant:

Snowflake Inc., Bozeman, MT (US);

Inventors:

Libo Chen, San Carlos, CA (US);

Eddie Hao, Palo Alto, CA (US);

Daniel Geoffrey Karp, San Carlos, CA (US);

Nathan Li, San Mateo, CA (US);

Themistoklis Melissaris, San Bruno, CA (US);

Samir Rehmtulla, San Mateo, CA (US);

Sai Bhargav Varanasi, San Mateo, CA (US);

Assignee:

Snowflake Inc., Bozeman, MT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/245 (2019.01); G06F 16/2453 (2019.01); G06F 16/2455 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24534 (2019.01); G06F 16/24553 (2019.01);
Abstract

Antagonistic queries can have a high resource and time footprint triggering a range of issues, such as causing compilation performance degradation of other queries and machine failures. Described herein are techniques for automatically identifying antagonistic queries and redirecting the antagonistic queries to dedicated resources. This redirecting can help better balance the workload on different work clusters and to isolate antagonistic workloads from impacting the compilation and execution performance of other queries.


Find Patent Forward Citations

Chen, Libo. (2026). Intelligent resource management for antagonistic workloads (U.S. Patent No. 12547618). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12547618

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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