Efficient Load Balancing for Cloud Computing by Using Content Analysis

Abstract

Nowadays, computer networks have grown rapidly due to the demand for information technology management and facilitation of greater functionality. The service provided based on a single machine cannot accommodate large databases. Therefore, single servers must be combined for server group services. The problem in grouping server service is that it is very hard to manage many devices which have different hardware. Cloud computing is an extensive scalable computing infrastructure that shares existing resources. It is a popular option for people and businesses for a number of reasons including cost savings and security. This paper aimed to propose an efficient technique of load balance control by using HA Proxy in cloud computing with the objective of receiving and distributing the workload to the computer server to share the processing resources. The proposed technique applied round-robin scheduling for an efficient resource management of the cloud storage systems that focused on an effective workload balancing and a dynamic replication strategy. The evaluation approach was based on the benchmark data from requests per second and failed requests. The results showed that the proposed technique could improve performance of load balancing by 1,000 request /6.31 sec in cloud computing and generate fewer false alarms

Dynamic Allocation of Weights Using the Minimally Connected Method to Augment Load Equilibrium in Distributed Systems

“…Preecha Somwang [15] introduces an efficient load-balancing technique using HA proxy in cloud computing, focusing on workload distribution and resource sharing. Round-robin scheduling optimizes cloud storage management, leading to effective load balancing and dynamic replication.…”