Framework to Solve Load Balancing Problem in Heterogeneous Web Servers
Ms. Deepti Sharma, Ms. Archana B.Saxena

TL;DR
This paper proposes a cluster-based framework for dynamic load balancing in heterogeneous web servers, considering request types, server status, and operational capabilities to improve response times and reliability.
Contribution
Introduces a novel cluster-based load balancing framework that accounts for request diversity, server status, and capabilities, addressing limitations of existing request count-focused schemes.
Findings
Framework effectively distributes load based on server capabilities
Experimental results demonstrate improved response times
Algorithm adapts to server failures and request types
Abstract
For popular websites most important concern is to handle incoming load dynamically among web servers, so that they can respond to their client without any wait or failure. Different websites use different strategies to distribute load among web servers but most of the schemes concentrate on only one factor that is number of requests, but none of the schemes consider the point that different type of requests will require different level of processing efforts to answer, status record of all the web servers that are associated with one domain name and mechanism to handle a situation when one of the servers is not working. Therefore, there is a fundamental need to develop strategy for dynamic load allocation on web side. In this paper, an effort has been made to introduce a cluster based frame work to solve load distribution problem. This framework aims to distribute load among clusters on…
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Taxonomy
TopicsMobile Agent-Based Network Management · Optimization and Search Problems · Caching and Content Delivery
