Patent · US Active

Predicting usage pattern of serverless environment via machine learning

US11652688B2 · kind B2 · utility

0Cited by

2References

16Claims

0Family size

Assignee

International Business Machines Corporation · US

Inventors

Rashmi Khanna · Bengaluru, IN
Magesh Kumar Sivaswamy · Kanchinakote, IN
Sanjay K. Verma · San Jose, US
Sanjay Singh · Fremont, US
Manesh Chandran Nambiar · Pune, IN

Key dates

Filing date	Nov 25, 2020
Grant date	May 16, 2023
Priority date	—
Expiry date	Feb 27, 2041

Classification

Technology area (CPC H)Electricity
CPC primaryH04L67/10
WIPO fieldDigital communication
WIPO sectorElectrical engineering

Abstract

An approach for updating one or more serverless runtime configurations based on predicting usage patterns of a serverless computing cluster is disclosed. The approach includes collecting one or more attributes associated with an application on a serverless computing cluster and a user of the application and analyzing the one or more collected attributes. Furthermore, the approach includes predicting one or more usage patterns based the analyzing and updating one or more serverless runtime configurations based on the one or more usage patterns.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.