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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2013 Vol.5(4): 611-615 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.759

Framework of Persistence Layer Synchronous Replication to Improve Data Availability into a Heterogeneous System

A. H. Beg, A. Noraziah, A. N. Abdalla, and K. F. Rabbi
Abstract—Data replication is an important technique in peer to peer network, data grid architecture, clustering and distributed system, where it increases data availability and enhances data access and reliability and minimizes the cost of data transmission. In this paper, we proposed a framework and structure of synchronous replication from the persistence layer that supports heterogeneous system. In this framework, we developed the multithreading based persistence layer. Our objective is to make the persistence layer more adaptive. In this adaptive persistency system, the replication server will not depend on the main server, so forth, adding a new replication server will be easier than ever, easy to cope with heterogeneous system, cost minimizing and finally there will be no down time.

Index Terms—Data replication, data persistency, synchronous, heterogeneous replication, multithreading technique.

A. H. Beg, A. Noraziah, and K. F. Rabbi are with the Faculty of Computer Systems and Software Engineering, University Malaysia Pahang, Gambang-26300, Kuantan, Malaysia (e-mail: ahbeg_diu@yahoo.com, noraziah@ump.edu.my, zahid_r_i@yahoo.com).
A. N. Abdalla is with the Faculty of Electrical and Electronics Engineering University Malaysia Pahang, Gambang-26300, Kuantan, Malaysia (e-mail: ahmed@ump.edu.my).

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Cite:A. H. Beg, A. Noraziah, A. N. Abdalla, and K. F. Rabbi, "Framework of Persistence Layer Synchronous Replication to Improve Data Availability into a Heterogeneous System," International Journal of Computer Theory and Engineering vol. 5, no. 4, pp. 611-615, 2013.

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