A Survey on the Applications of Cuckoo Search Algorithm in Resource Management and Scheduling in Cloud Computing

Abstract

Users can quickly and affordably access computing resources and services from any location. However, due to the growth in magnitude, complexity, and power intake about provider requirements, the resources are distributed on a payment basis. Resource allocation in data centres is a difficult task since consumer requirements for execution time, dependability, availability, bandwidth, and cost frequently conflict with the goals of cloud providers; this is a serious problem with the cloud that needs to be solved. A meta-heuristic approach called Cuckoo Search Algorithm (CSA) is employed to optimize a variety of cloud computing issues. A number of research studies have been carried out in a cloud computing environment employing CSA. This paper examines the use of CSA for resource management and task scheduling and identifies the application domain. Finally, it identifies challenges and the key areas that require further research.