Invention Grant
- Patent Title: Controlling cache size and priority using machine learning techniques
-
Application No.: US17101689Application Date: 2020-11-23
-
Publication No.: US11200173B2Publication Date: 2021-12-14
- Inventor: Shanmugasundaram Alagumuthu
- Applicant: PayPal, Inc.
- Applicant Address: US CA San Jose
- Assignee: PayPal, Inc.
- Current Assignee: PayPal, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- Main IPC: G06F12/0871
- IPC: G06F12/0871 ; G06F12/0891 ; G06N20/00

Abstract:
Techniques are disclosed relating to controlling cache size and priority of data stored in the cache using machine learning techniques. A software cache may store data for a plurality of different user accounts using one or more hardware storage elements. In some embodiments, a machine learning module generates, based on access patterns to the software cache, a control value that specifies a size of the cache and generates time-to-live values for entries in the cache. In some embodiments, the system evicts data based on the time-to-live values. The disclosed techniques may reduce cache access times and/or improve cache hit rate.
Public/Granted literature
- US20210182203A1 Controlling Cache Size and Priority Using Machine Learning Techniques Public/Granted day:2021-06-17
Information query
IPC分类: