Efficient Model for Replica Consistency Maintenance in Data Grids
Xunyi Ren, Ruchuan Wang, Qiang Kong
Abstract
Xunyi Ren, Ruchuan Wang, Qiang Kong
Abstract
In order to improve the efficiency of replica consistency management, one efficient consistency maintaining model is proposed. In this model, replica clustering coefficient is defined for representing social capacity, by which replica nodes are classified into multi-levels to form one replica-tree, and constitute a peer-to-peer network with first-class replica nodes of different VOs. The experimental results show that the proposed model can reduce conflict number and response time compared with some existing models.
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In order to improve the efficiency of replica consistency management, one efficient consistency maintaining model is proposed. In this model, replica clustering coefficient is defined for representing social capacity, by which replica nodes are classified into multi-levels to form one replica-tree, and constitute a peer-to-peer network with first-class replica nodes of different VOs. The experimental results show that the proposed model can reduce conflict number and response time compared with some existing models.
Key concepts: Replica, Consistency (knowledge bases), Computer science, Consistency model, Distributed computing, Cluster analysis, Peer-to-peer, Data consistency