Load Balancing in Cloud Computing Environment Using Improved Weighted Round Robin Algorithm for Nonpreemptive Dependent Tasks
Joint Authors
Uthariaraj, Rhymend
Devi, D. Chitra
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-03
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Cloud computing uses the concepts of scheduling and load balancing to migrate tasks to underutilized VMs for effectively sharing the resources.
The scheduling of the nonpreemptive tasks in the cloud computing environment is an irrecoverable restraint and hence it has to be assigned to the most appropriate VMs at the initial placement itself.
Practically, the arrived jobs consist of multiple interdependent tasks and they may execute the independent tasks in multiple VMs or in the same VM’s multiple cores.
Also, the jobs arrive during the run time of the server in varying random intervals under various load conditions.
The participating heterogeneous resources are managed by allocating the tasks to appropriate resources by static or dynamic scheduling to make the cloud computing more efficient and thus it improves the user satisfaction.
Objective of this work is to introduce and evaluate the proposed scheduling and load balancing algorithm by considering the capabilities of each virtual machine (VM), the task length of each requested job, and the interdependency of multiple tasks.
Performance of the proposed algorithm is studied by comparing with the existing methods.
American Psychological Association (APA)
Devi, D. Chitra& Uthariaraj, Rhymend. 2016. Load Balancing in Cloud Computing Environment Using Improved Weighted Round Robin Algorithm for Nonpreemptive Dependent Tasks. The Scientific World Journal،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1120413
Modern Language Association (MLA)
Devi, D. Chitra& Uthariaraj, Rhymend. Load Balancing in Cloud Computing Environment Using Improved Weighted Round Robin Algorithm for Nonpreemptive Dependent Tasks. The Scientific World Journal No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1120413
American Medical Association (AMA)
Devi, D. Chitra& Uthariaraj, Rhymend. Load Balancing in Cloud Computing Environment Using Improved Weighted Round Robin Algorithm for Nonpreemptive Dependent Tasks. The Scientific World Journal. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1120413
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120413