The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Optimizing Both the User Requirements and the Load Balancing in the Volunteer Computing System by using Markov Chain Model
|
|
Author(s): Abdeldjalil Ledmi (Laboratory of Mathematics, Informatics and Systems (LAMIS), University of Larbi Tebessi, Tebessa, Algeria), Hakim Bendjenna (Laboratory of Mathematics, Informatics and Systems (LAMIS), University of Larbi Tebessi, Tebessa, Algeria)and Hemam Sofiane Mounine (ICOSI Laaboratory, University of Abbes Laghrour Khenchela, Khenchela, Khenchela, Algeria)
Copyright: 2018
Volume: 14
Issue: 1
Pages: 28
Source title:
International Journal of Enterprise Information Systems (IJEIS)
Editor(s)-in-Chief: Gianluigi Viscusi (Linköping University, Sweden)
DOI: 10.4018/IJEIS.2018010103
Purchase
|
Abstract
This article describes how in volunteer cloud computing systems, some resources are volunteered by the hosts. These systems became more powerful and attractive because they provide a highest power computing. However, to satisfy the user requirements and the system performance in this kind of the system is a crucial challenge. In this article, the authors propose a new architecture for the volunteer cloud computing systems to allow balancing the load between volunteer clouds in a decentralized manner, and between resources inside a volunteer cloud in centralized manner. Moreover, their proposal shows more advantages: First, selecting a resource according to the user requirements and to the system performance. Second, estimating the volunteer resource failure probability by using the stochastic process Markov chain model. Experimental results using the PeerSim Simulator is established to verify the efficacy of the proposed system and promising results are obtained.
Related Content
|
Yujong Hwang, Hui Lin, Donghee Shin.
© 2023.
17 pages.
|
|
Yin Xu, Sam Dzever, Guoqin Zhao.
© 2023.
23 pages.
|
|
Mohamed Abdalla Nour.
© 2023.
29 pages.
|
|
Godwin Banafo Akrong, Yunfei Shao, Ebenezer Owusu.
© 2022.
41 pages.
|
|
Yigal David, Elad Harison.
© 2022.
20 pages.
|
|
Mohmed Y. Mohmed Al-Sabaawi, Bassam A. Alyouzbaky.
© 2022.
22 pages.
|
|
Normalini Md Kassim, Wan Normila Mohamad, Nor Hazlina Hashim.
© 2022.
21 pages.
|
|
|