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:
Feb. 18, 2025
Filed:
Dec. 21, 2020
Intel Corporation, Santa Clara, CA (US);
Rameshkumar Illikkal, Folsom, CA (US);
Anna Drewek-Ossowicka, Gdansk, PL;
Dharmisha Ketankumar Doshi, Folsom, CA (US);
Qian Li, Stanford, CA (US);
Andrzej Kuriata, Gdansk, PL;
Andrew J. Herdrich, Hillsboro, OR (US);
Teck Joo Goh, Saratoga, CA (US);
Daniel Richins, Orem, UT (US);
Slawomir Putyrski, Gdynia, PL;
Wenhui Shu, Shanghai, CN;
Long Cui, Shanghai, CN;
Jinshi Chen, Shanghai, CN;
Mihai Daniel Dodan, Bucharest, RO;
Intel Corporation, Santa Clara, CA (US);
Abstract
Various approaches to efficiently allocating and utilizing hardware resources in data centers while maintaining compliance with a service level objective (SLO) specified for a computational workload is translated into a hardware-level SLO to facilitate direct enforcement by the hardware processor, e.g., using a feedback control loop or model-based mapping of the hardware-level SLO to allocations of microarchitecture resources of the processor. In some embodiments, a computational model of the hardware behavior under resource contention is used to predict the application performance (e.g., as measured in terms of the hardware-level SLO) to be expected under certain contention scenarios. Scheduling of workloads among the compute nodes within the data center may be based on such predictions. In further embodiments, configurations of microservices are optimized to minimize hardware resources while meeting a specified performance goal.