Invention Grant
- Patent Title: Automated server workload management using machine learning
-
Application No.: US15870262Application Date: 2018-01-12
-
Publication No.: US10581958B2Publication Date: 2020-03-03
- Inventor: Subodh Kumar , Santosh Bardwaj
- Applicant: CAPITAL ONE SERVICES, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner, L.L.P.
- Main IPC: H04L29/08
- IPC: H04L29/08 ; H04L12/24 ; G06F11/34 ; G06F9/50 ; G06Q10/06 ; G06F3/06 ; G06F3/12

Abstract:
Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.
Public/Granted literature
- US20180139271A1 AUTOMATED SERVER WORKLOAD MANAGEMENT USING MACHINE LEARNING Public/Granted day:2018-05-17
Information query