Optimal load balancing in cloud: Introduction to hybrid optimization algorithm

Abstract

One of the leading-edge technologies that have made it possible to pay as you go and distribute appropriate resources on demand is cloud computing. The process of optimizing the resource on cloud virtual machines (VMs) is called load balancing. The main goal is to evenly distribute tasks and resources among all machines to ensure that no node is overloaded or inactive. However, the load balancing methods currently used in cloud environments are ineffective in lowering the amount of time needed to respond to requests. This work intends to propose a novel optimal load balancing (LB) method in the cloud. For this a new Intercrossed Chimp and Bald Eagle Algorithm (IC&BA) algorithm is introduced that combines the algorithms like bald eagle search (BES) optimization and chimp optimization (CA) algorithm. Thereby, the proposed load balancing model works under the consideration of (i) Energy Consumption (ii) execution cost (iii) migration cost (iv) Make span and (v) load balancing parameters like response time, Turnaround time.