Title: Dynamic Load Balancing Using Restoration Theory-Based Queuing Model for Distributed Networks
Abstract: Nowadays, web servers are overloaded regularly because of heavy traffic on the Internet or web. Web server cluster-based architectures are widely used to offer highly efficient Internet services. There are many web server clustering methods offering transparency on behalf of the client side. However, there is no assurance for information transparency in terms of the server side. Existing method require special software to ensure transparency. The current systems are not capable of carrying a large amount of request parallely. Hence, Internet traffic has increased. The article introduces web server cluster-based load-balancing techniques associated with a scalable server model. In this model, the server is considered as a tank with inflow and outflow. Henceforth, the web server cluster could be demonstrated as a multiple-tank system with certain inflow constraints using multithreading and control procedures. The article also concentrates on how effectively this technique minimizes the resource utilization of the servers to improve the load of servers. The method works to optimize the server load using a restoration theory-based queuing model. The proposed technique also characterizes the system price as weighted combination for both placement changes and inter-application communication cost. On the basis of the implementation evaluation, the proposed method reduces the execution time and communication cost and optimizes the load-balancing factor compared to other existing methods.
Publication Year: 2020
Publication Date: 2020-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot