Review of Hybrid Load Balancing Algorithms in Cloud Computing Environment

TL;DR

This paper reviews hybrid load balancing algorithms in cloud computing, highlighting their ability to combine static and dynamic methods to improve efficiency and address limitations of previous approaches.

Contribution

It provides a comprehensive analysis of various hybrid load balancing algorithms, emphasizing their advantages in cloud environments.

Findings

Hybrid algorithms inherit benefits from static and dynamic methods.

Hybrid approaches improve load distribution efficiency.

They address limitations of purely static or dynamic algorithms.

Abstract

In cloud computing environment, load balancing is a key issue which is required to distribute the dynamic workload over multiple machines to make certain that no single machine is overloaded. In recent research, many organizations lose significant part of their revenues in handling the requests given by the clients over the web servers i.e. unable to balance the load for web servers which results in loss of data, delay in time and increased costs. Various static and dynamic algorithms have been proposed and implemented in the past but this have not been fully efficient for load balancing. This gave room to hybrid algorithms. Hybrid methods inherit the properties from both static and dynamic load balancing techniques and attempts at overcoming the limitation of both algorithms. This paper is a study of various hybrid load balancing algorithms in cloud computing environment.