Dynamic scheduling of distributed storage management tasks using predicted system characteristics

US11442660B2 · kind B2 · utility

Assignee

• Nutanix, Inc. · US

Inventors

• Karan Gupta · Noida, IN
• Varun Kumar Arora · Stuttgart, DE
• Himanshu Shukla · San Jose, US
• Bharat Kumar Beedu · Kanchinakote, IN
• Abhinay R. Nagpal · San Jose, US

Key dates

• Filing date: Dec 31, 2018
• Grant date: Sep 13, 2022
• Expiry date: Dec 31, 2038

Classification

• Technology area (CPC —): General

Abstract

Systems and methods for scheduling storage management tasks over predicted user tasks in a distributed storage system. A method commences upon receiving a set of historical stimulus records that characterize management tasks that are run in the storage system. A corresponding set of historical response records comprising system metrics associated with execution of the system tasks is also received. A learning model is formed from the stimulus records and the response records and formatted to be used as a predictor. A set of forecasted user tasks is input as new stimulus records to the predictor to determine a set of forecasted system metrics that would result from running the forecasted user tasks. Management tasks are selected so as not to impact the forecasted user tasks. Management tasks can be selected based on non-contentions resource usage between historical management task resource usage and predictions of resource usage by the user tasks.