Models & Optimisation and Mathematical Analysis Journal
Volume 8, Numéro 1, Pages 6-13
2020-12-31

An Optimization Approach For Task Scheduling In Cloud Computing Environments



Authors : Belgacem Ali .

Abstract

The evolution of the tech world has boosted the power of the cloud more than ever due to the changing ways of software use and has made them mere services. Since the services are paid per use, reducing cost is an important issue to focus on. Consequently, task scheduling is considered one of the predominant topics to overcome this issue. In this paper, we suggest a new hybrid heuristic algorithm based on particle swarm optimization and Electromagnetism Meta-heuristic Algorithm (PSO-EMA). PSO-EMA aims to minimize the cost of using virtual machines. The simulation results demonstrate that the proposed algorithm is better than the Max-min, FCFS, PSO, EMA, and DSOS methods in terms of cost.

Keywords

cloud computing ; resource allocation ; cost ; task Scheduling ; EMA algorithm

Les articles similaires

Task Management In Iot-fog-cloud Environment Employing Static Scheduling Techniques

Goel Gauvav .  Tiwari Rajeev . 
pages 13-20.

Ps-ddaf: Priority-based Scheduling And Deadline/distance-based Allocation For Performance Optimization In Fog Computing

Moukhtari Imane .  Bakiri Rania .  Cherbal Sarra . 
pages 1-14.

Jmetal And Mfhs Collaboration For Task Scheduling Optimization In Heterogeneous Distributed System

Khiat Abdelhamid . 
pages 162-172.

The Principles Of Application The Cloud Computing In The Organizations: A Managerial Approach

Adel Ladjali . 
pages 100-117.

Dynamic Adaptation For Independent Task Scheduling Using Dynamic Programming In Multiprocessor Systems

Bendiaf Lotfi .  Harbouche Ahmed .  Tahraoui Mohammed Amin . 
pages 09-16.

Formats de citation