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A Binary Replication Strategy for Large-Scale Mobile Environments
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International Journal of Computer Science and Security (IJCSS)
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Volume:  3    Issue:  2
Pages:  62-153
Publication Date:   April 2009
ISSN (Online): 1985-1553
Pages 
83 - 104
Author(s)  
Ashraf A Fadelelmoula - Malaysia
P.D.D.Dominic - Malaysia
Azween Bin Abdullah - Malaysia
Hamidah Ibrahim - Malaysia
 
Published Date   
18-05-2009 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Pessimistic Replication, Optimistic Replication, Availability, Consistency, Stochastic petri net 
 
 
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An important challenge to database researchers in mobile computing environments is to provide a data replication solution that maintains the consistency and improves the availability of replicated data. This paper addresses this problem for large scale mobile environments. Our solution represents a new binary hybrid replication strategy in terms of its components and approach. The new strategy encompasses two components: replication architecture to provide a solid infrastructure for improving data availability and a multi-agent based replication method to propagate recent updates between the components of the replication architecture in a manner that improves availability of last updates and achieves the consistency of data. The new strategy is a hybrid of both pessimistic and optimistic replication approaches in order to exploit the features of each. These features are supporting higher availability of recent updates and lower rate of inconsistencies as well as supporting the mobility of users. To model and analyze the stochastic behavior of the replicated system using our strategy, the research developed Stochastic Petri net (SPN) model. Then the Continuous Time Markov Chain (CTMC) is derived from the developed SPN and the Markov chain theory is used to obtain the steady state probabilities. 
 
 
 
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1 Faculty of Computer Science And Information Technology - Universiti Putra Malaysia (UPM)
 
 
 
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Ashraf A Fadelelmoula : Colleagues
P.D.D.Dominic : Colleagues
Azween Bin Abdullah : Colleagues
Hamidah Ibrahim : Colleagues  
 
 
 
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