GLOA : a new job scheduling algorithm for grid computing

Pooranian, Zahra, Shojafar, Mohammad, Abawajy, Jemal H. and Singhal, Mukesh 2013, GLOA : a new job scheduling algorithm for grid computing, International journal of interactive multimedia and artificial intelligence, vol. 2, no. 1, pp. 59-64.

Attached Files
Name Description MIMEType Size Downloads

Title GLOA : a new job scheduling algorithm for grid computing
Author(s) Pooranian, Zahra
Shojafar, Mohammad
Abawajy, Jemal H.
Singhal, Mukesh
Journal name International journal of interactive multimedia and artificial intelligence
Volume number 2
Issue number 1
Start page 59
End page 64
Total pages 6
Publisher Imal-Software
Place of publication Madrid, Spain
Publication date 2013
ISSN 1989-1660
Keyword(s) artificial intelligence
distributed computing
grid computing
job scheduling
makespan
Summary The purpose of grid computing is to produce a virtual supercomputer by using free resources available through widespread networks such as the Internet. This resource distribution, changes in resource availability, and an unreliable communication infrastructure pose a major challenge for efficient resource allocation. Because of the geographical spread of resources and their distributed management, grid scheduling is considered to be a NP-complete problem. It has been shown that evolutionary algorithms offer good performance for grid scheduling. This article uses a new evaluation (distributed) algorithm inspired by the effect of leaders in social groups, the group leaders' optimization algorithm (GLOA), to solve the problem of scheduling independent tasks in a grid computing system. Simulation results comparing GLOA with several other evaluation algorithms show that GLOA produces shorter makespans.
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C2 Other contribution to refereed journal
ERA Research output type C Journal article
HERDC collection year 2013
Copyright notice ©2013, Imal-Software
Persistent URL http://hdl.handle.net/10536/DRO/DU:30058862

Document type: Journal Article
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 58 Abstract Views, 16 File Downloads  -  Detailed Statistics
Created: Mon, 09 Dec 2013, 13:30:40 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.