An Analysis of a Meta Heuristic Optimization Algorithms for Cloud Computing
Pillareddy Vamsheedhar Reddy, Karri Ganesh Reddy · 2021 5th International Conference on Information Systems and Computer Networks (ISCON) · 2021
Cloud computing enables users to access pooled services via the internet on demand through a cloud platform that is extremely flexible and provides consumers with a pay-per-use model with variable SLA. The majority of cloud services operate on virtual machines, and in this scenario, job scheduling is critical. Because of the restricted number of optimum parameters evaluated in task scheduling, current meta heuristic optimization methods in cloud computing are insufficient for finding optimal solutions. Existing studies, such as load balancing, energy cost per unit, and VM migration, lack dependability and availability factors, which are required to create an effective task scheduling algorithm. Finally We did a proportional analysis of prior algorithms and identified scope to research in the field of cloud scheduling algorithms.