Self-Adaptive PSO Memetic Algorithm For Multi Objective Workflow Scheduling in Hybrid Cloud

Padmaveni Krishnan; John Aravindhar

doi:10.34028/iajit

Article Details

Self-Adaptive PSO Memetic Algorithm For Multi Objective Workflow Scheduling in Hybrid Cloud

Authors:

Padmaveni Krishnan | John Aravindhar

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 5, pp.138-145

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001389298

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

Abstract:

 Cloud computing is a technology in distributed computing that facilitate pay per model to solve large scale 
problems. The main aim of cloud computing is to give optimal access among the distributed resources. Task scheduling in 
cloud is the allocation of best resource to the demand considering the different parameters like time, makespan, cost, 
throughput etc. All the workflow scheduling algorithms available cannot be applied in cloud since they fail to integrate the 
elasticity and heterogeneity in cloud. In this paper, the cloud workflow scheduling problem is modeled considering make span, 
cost, percentage of private cloud utilization and violation of deadline as four main objectives. Hybrid approach of Particle 
Swarm Optimization (PSO) and Memetic Algorithm (MA) called Self-Adaptive Particle Swarm Memetic Algorithm (SPMA) is 
proposed. SPMA can be used by cloud providers to maximize user quality of service and the profit of resource using an 
entropy optimization model. The heuristic is tested on several workflows. The results obtained shows that SPMA performs 
better than other state of art algorithms.

Article Details

Self-Adaptive PSO Memetic Algorithm For Multi Objective Workflow Scheduling in Hybrid Cloud

Authors:

Padmaveni Krishnan | John Aravindhar

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 5, pp.138-145

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001389298

pISSN:

2309-4524

DOI:

10.34028/iajit

Cloud computing

memetic algorithm

particle swarm optimization

self-adaptive particle swarm memetic algorithm

Issues

Article Details

Self-Adaptive PSO Memetic Algorithm For Multi Objective Workflow Scheduling in Hybrid Cloud

Authors: Padmaveni Krishnan | John Aravindhar

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 5, pp.138-145

Document Type: Article

Publication Date: 1/2019

Document Language: English

Document ID (Org No.): 2001389298

pISSN: 2309-4524

DOI: 10.34028/iajit

Cloud computing

memetic algorithm

particle swarm optimization

self-adaptive particle swarm memetic algorithm

Issues

Authors:

Padmaveni Krishnan | John Aravindhar

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 5, pp.138-145

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001389298

pISSN:

2309-4524

DOI:

10.34028/iajit