Palo Alto Networks, Inc.
AUTOSCALING OF DATA PROCESSING COMPUTING SYSTEMS BASED ON PREDICTIVE QUEUE LENGTH

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.