Self-adaptive pso memetic algorithm for multi objective workflow scheduling in hybrid cloud
Joint Authors
Krishnan, Padmaveni
Aravindhar, John
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 5 (30 Sep. 2019), pp.928-935, 8 p.
Publisher
Publication Date
2019-09-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
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.
American Psychological Association (APA)
Krishnan, Padmaveni& Aravindhar, John. 2019. Self-adaptive pso memetic algorithm for multi objective workflow scheduling in hybrid cloud. The International Arab Journal of Information Technology،Vol. 16, no. 5, pp.928-935.
https://search.emarefa.net/detail/BIM-895101
Modern Language Association (MLA)
Krishnan, Padmaveni& Aravindhar, John. Self-adaptive pso memetic algorithm for multi objective workflow scheduling in hybrid cloud. The International Arab Journal of Information Technology Vol. 16, no. 5 (Sep. 2019), pp.928-935.
https://search.emarefa.net/detail/BIM-895101
American Medical Association (AMA)
Krishnan, Padmaveni& Aravindhar, John. Self-adaptive pso memetic algorithm for multi objective workflow scheduling in hybrid cloud. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 5, pp.928-935.
https://search.emarefa.net/detail/BIM-895101
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 934
Record ID
BIM-895101