• Jul 29, 2019 News!IJMLC Had Implemented Online Submission System, Please Sumbit New Submissions thorough This System Only!   [Click]
  • Jul 16, 2019 News!Good News! All papers from Volume 9, Number 3 have been indexed by Scopus!   [Click]
  • Jul 08, 2019 News!Vol.9, No.4 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

IJMLC 2014 Vol.4(1): 85-89 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.391

Co-Existance Neighbourhood Model for Optimizing Cloud Infrastructure as a Service (IaaS) Within Interdependent Environment

Ahmad Shukri Mohd Noor, Mustafa Mat Deris, and Md Yazid Md Saman
Abstract—The tendency of current large distributed systems such Cloud computing is the delivery of computing as a service rather than a product. Availability is the most important properties in Cloud computing. One of central issues in Cloud environment is to provide reliable Infrastructure as a service (IaaS) with optimal availability. Since the resources or nodes become larger, increasingly dynamic and heterogeneous, the potential for failures in the systems is a significant disruptive factor. This paper proposes the twin co-existance neighbourhood (TCeN) model. It focuses on improving high availability in which it predicts future availability expectation of interdependent environment in a distributed system over an extended period of time. With less complexity, this model not only theoretical sound but also feasible for practical implementation in real environment, this technique is very cost effective with less complexity compare to other techniques. The performance results show TCeN availability outperformed the Double-replica technique(DRT) with 50% less in-term of storage overhead. Moreover, results show TCeN availability outperforms the Double-replica technique (DRT) up to 14.2% with less overhead.

Index Terms—High availability, cloud computing, distributed computing, replication technique, dependable system.

Ahmad Shukri Mohd Noor is with the Department at Faculty of Science, Technology Universiti Malaysia Terengganu (UMT), Malaysia (e-mail: ashukri@umt.edu.my).
Mustafa Mat Deris is with the Faculty of Information Technology and Multimedia, UTHM, Malaysia.
Md Yazid Md Saman is with the Computer Science Department, Faculty of Science and Technology, Universiti Malaysia Terengganu (UMT), Malaysia.


Cite:Ahmad Shukri Mohd Noor, Mustafa Mat Deris, and Md Yazid Md Saman, "Co-Existance Neighbourhood Model for Optimizing Cloud Infrastructure as a Service (IaaS) Within Interdependent Environment," International Journal of Machine Learning and Computing vol.4, no. 1, pp. 85-89, 2014.

Copyright © 2008-2019. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net