Review of Load Balancing Algorithms Inspired by Artificial Bee Colony Algorithm in the Cloud Computing

Abstract

Research interest in cloud-based load balancing and task scheduling has grown rapidly over the last few years. To be more precise, load balancing of virtual machine tasks (VMs) that require nature-inspired algorithms has become an area of particular interest. It is essential to ensure load balancing between VMs as this avoids overloading and underloading VMs, aspects that can cause issues like high-power consumption, increased execution time, and elevated response times, all of which can ultimately cause a system failure. Swarm intelligence is critical when dealing with issues that are difficult to solve and must be overcome using traditional and mathematical techniques. The algorithm was developed by Karaboga in 2005 and is inspired by the foraging behaviors of an artificial bee colony. This algorithm is extremely robust, convergent, and flexible. Another researcher applied the ABC method to load balancing in order to enhance it. In-depth research on load balancing in cloud computing utilizing the ABC method is presented in this review paper. Moreover, this work also discusses some fundamental ideas on the intelligence and characteristics of the swarm. Additionally, the paper provided a detailed explanation of cloud computing, its services, and components, as well as the concept and objectives of load balancing in the cloud