Invention Grant
- Patent Title: Autoscaling of data processing computing systems based on predictive queue length
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Application No.: US15885520Application Date: 2018-01-31
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Publication No.: US10705885B2Publication Date: 2020-07-07
- Inventor: Philip Simon Tuffs
- Applicant: PALO ALTO NETWORKS, INC.
- Applicant Address: US CA Santa Clara
- Assignee: Palo Alto Networks, Inc.
- Current Assignee: Palo Alto Networks, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Gilliam IP PLLC
- Main IPC: G06F1/24
- IPC: G06F1/24 ; G06F9/50 ; G06F1/26 ; G06F9/4401 ; G06F8/65

Abstract:
Described herein are systems, methods, and software to enhance the scaling of data processing systems in a computing environment. In one implementation, a method of operating a data processing management system includes monitoring a queue length in an allocation queue for data processing system, and generating a prediction of the allocation queue based on the monitored queue length. Once the prediction is generated, the data processing management system may modify an operational state of at least one data processing system based on the prediction of the queue length and a processing time requirement for data objects in the allocation queue.
Public/Granted literature
- US20190235932A1 AUTOSCALING OF DATA PROCESSING COMPUTING SYSTEMS BASED ON PREDICTIVE QUEUE LENGTH Public/Granted day:2019-08-01
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