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A framework for implementing asynchronous replication scheme in utility-based computing environment

Nik, Wan N. S. W., Zhou, Bing B., Zomaya, Albert Y. and Abawajy, Jemal H. 2015, A framework for implementing asynchronous replication scheme in utility-based computing environment, in CCBD 2015: Proceedings of the Cloud Computing and Big Data 2015 International Conference, IEEE, Piscataway, N. J., pp. 183-190, doi: 10.1109/CCBD.2015.42.

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Title A framework for implementing asynchronous replication scheme in utility-based computing environment
Author(s) Nik, Wan N. S. W.
Zhou, Bing B.
Zomaya, Albert Y.
Abawajy, Jemal H.
Conference name Cloud Computing and Big Data. International Conference (2015 : Shanghai, China)
Conference location Shanghai, China
Conference dates 4-6 Nov. 2015
Title of proceedings CCBD 2015: Proceedings of the Cloud Computing and Big Data 2015 International Conference
Editor(s) [Unknown]
Publication date 2015
Conference series Cloud Computing and Big Data International Conference
Start page 183
End page 190
Total pages 8
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) asynchronous replication
utility-based computing environment
QoS
performance prediction
Summary This paper addresses a problem on implementing an asynchronous replication scheme in utility-based computing environment. The problem needs a special attention as most of the existing replication scheme in this computing system whether implicitly support synchronous replication and/or only consider read-only job. Therefore, we propose an intelligent framework that can reinforce an effective resource selection scheme by allowing the components that give impact on the performance such as resource/data freshness of the replicated system in such environment to be considered. We exploit an Update Ordering (UO) approach and reconcile these components in designing the framework. Important issues such as job propagation delay and job propagation rules are especially addressed. Our experiments show that the proposed framework is capable to become a platform of an effective resource selection scheme and achieve a good result with good system performance as compared to existing algorithms.
ISBN 9781467383509
Language eng
DOI 10.1109/CCBD.2015.42
Field of Research 080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084370

Document type: Conference Paper
Collection: School of Information Technology
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