Hybrid Cloud Scheduling Using A Dynamic CostEffective Fuzzy Particle Swarm Optimization Algorithms

Authors

  • P. Perumal

Abstract

In cloud computing to attain scalability and security objective, the task scheduling mechanism is
adopted in hybrid clouds. The cost effectiveness of cloud computing is affected when service providers offers the
scheduling of the cloud services such as servers, storage space, intelligence and analytics to the customers. To
achieve minimization in cost and time an organized scheduling is necessary. Tasks in hybrid clouds usually
allocated to the private cloud or to a public cloud on the basis pay and utilize. In this paper a Dynamic CostEffective
Fuzzy Particle Swarm Optimization (DCEFPSO) is utilized based on cloud scheduling. The DCEFPSO
which is a Stochastic optimization technique that is being used to solve complex optimization problems.
Comparison is performed between the proposed DCEFPSO and few traditional algorithms employing scheduling
and the evaluation results proves that the Dynamic Cost-Effective Fuzzy Particle Swarm Optimization
(DCEFPSO) is cost and time effective

Published

2020-05-30

Issue

Section

Articles