Web Auto Configuration for N-Tier in VM based Dynamic Environment by Reinforcement Learning Approach: A Study

Abstract

In Web system, configuration is the crucial part to achieve performance with service availability. Now in days, because of dynamics web traffic, virtualization is the key factor. How to handle required resources is a challenging task in virtual environment. Apply optimize configurations for different servers as per available resources is a tedious task to achieve high throughput with low latency. In this paper we have described the studied methodology of machine learning, which will guide how optimize all the parameters with the best results in terms of web usability.