An Optimized Active Monitoring Load Balancing (OAMLB) Algorithm using Cloud Analyst Tool in Cloud Computing

Abstract

Cloud-Computing (CC) is a quickly developing and extended technology that grant on request assistance to the users. Many organizations are embracing cloud technology as a consequence of its promising features like security, flexibility, efficiency, reasonable cost, scalability, freedom from backup plan etc. Cloud-Computing (CC) is growing rapidly, but it also faces some challenges, like reliability, resource allocation, data management, load balancing, fault tolerance, failure avoidance etc. Load balancing is one prominent research topic for researchers in the field of distributed computing. Many researchers proposed various techniques
and approaches for managing the users’ requests efficiently. The primary goal of this paper is to enhance the “Active_Monitoring_Load_Balancing (AMLB) Algorithm.” The major downside of the AMLB algorithm is that it does not check the capacity of virtual machine (VM), it only checks their status (available/busy); and assigns the load to the available virtual machine (VM) regardless of the load that is accomplished by the available VM. This led to the problem of over utilization of the available VM. The proposed technique/algorithm named as “Optimized Active Monitoring Load Balancing” (OAMLB) algorithm overcomes the drawback of existing one. The proposed algorithm is run and tested in cloud analyst using various cloud analyst parameters. The experiment and analysis of OAMLB shows that it has 61% improved performance in regard to both “response time” and “data center processing time” with comparison to “Round Robin” algorithm.