An Improved Approach for Load Balancing Among Virtual Machines In Cloud Environment

Abstract

This thesis presents the findings of a research study that focuses on introducing Cloud newlineComputing and studying various load balancing approaches to efficiently balance newlineworkload in Cloud servers. This section of the study begins with an examination of the newlinevirtualization technology, followed by a discussion of its applications and the newlineadvantages that it provides to cloud computing. The thesis highlights the significance of newlinecloud computing for information technology organizations and draws attention to newlineimportant performance measures such as throughput and reaction time as crucial newlinevariables for enhancing cloud effectiveness. The study is mostly centered on load newlinebalancing plan of actions that are implemented in the Cloud, and these policies are newlinebroken down into static and dynamic approaches. Techniques for static approach are newlineapplicable in situations in which there is previous knowledge of the load and settings of newlinethe system. Round-robin, min-min, and max-min algorithms are simple instances of newlinestatic solutions that are explored; nevertheless, these algorithms have drawbacks when newlineit comes to responding to real-time load differences. This paper presents the outcomes newlineof a comprehensive research study engrossed in the introduction of Cloud Computing newlineand an in-depth exploration of various load balancing approaches to achieve efficient newlineworkload balancing in Cloud servers. The study commences with an examination of newlinevirtualization technology, elucidating its applications and the advantages it brings to the newlineprovince of cloud computing. newlineBy emphasizing the significance of cloud system for info newline