Environment Aware Application-based Resource Management Using Reinforcement Learning

摘要

A resource management system of an application takes various actions to improve or maintain the health of the application (e.g., keep the application from becoming sluggish). The resource management system maintains a reinforcement learning model indicating which actions the resource management system is to take for various different states of the application. The resource management system performs multiple iterations of a process of identifying a current state of the application, determining an action to take to manage resources for the application, and taking the determined action. In each iteration, the resource management system determines the result of the action taken in the previous iteration and updates the reinforcement learning model so that the reinforcement learning model learns which actions improve the health of the application and which actions do not improve the health of the application.