An efficient replicated data access approach for large-scale distributed systems

Deris, M., Abawajy, Jemal and Mamat, A. 2008, An efficient replicated data access approach for large-scale distributed systems, Future generation computer systems, vol. 24, no. 1, pp. 1-9.

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Title An efficient replicated data access approach for large-scale distributed systems
Author(s) Deris, M.
Abawajy, Jemal
Mamat, A.
Journal name Future generation computer systems
Volume number 24
Issue number 1
Start page 1
End page 9
Total pages 9
Publisher Elsevier BV
Place of publication Amsterdam, Netherlands
Publication date 2008-01
ISSN 0167-739X
1872-7115
Keyword(s) data replication
box-shaped grid structure
fault–tolerance
communication cost
data availability
Summary In data-intensive distributed systems, replication is the most widely used approach to offer high data availability, low bandwidth consumption, increased fault-tolerance and improved scalability of the overall system. Replication-based systems implement replica control protocols that enforce a specified semantics of accessing the data. Also, the performance depends on a number of factors, the chief of which is the protocol used to maintain consistency among object replica. In this paper, we propose a new low-cost and high data availability protocol called the box-shaped grid structure for maintaining consistency of replicated data on networked distributed computing systems. We show that the proposed protocol provides high data availability, low communication costs, and increased fault-tolerance as compared to the baseline replica control protocols.
Notes Available online 29 April 2007.
Language eng
Field of Research 080499 Data Format not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2007
Copyright notice ©2007, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007666

Document type: Journal Article
Collection: School of Engineering and Information Technology
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