Open AccessWeb Auto Configuration for N-Tier in VM based Dynamic Environment by Reinforcement Learning Approach: A Study
Author(s) -
Keyur Prajapati,
Dinesh J Prajapati
Publication year - 2022
Publication title -
computer science and engineering : an international journal
Language(s) - English
Resource type - Journals
eISSN - 2231-3583
pISSN - 2231-329X
DOI - 10.5121/cseij.2022.12104
Subject(s) - computer science , virtualization , reinforcement learning , web server , latency (audio) , web application , server , usability , task (project management) , web service , virtual machine , operating system , distributed computing , world wide web , the internet , cloud computing , artificial intelligence , engineering , systems engineering , telecommunications
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.