Efficient Model for Replica Consistency Maintenance in Data Grids

Author(s):  
Xun-yi Ren ◽  
Ru-chuan Wang ◽  
Qiang Kong
2019 ◽  
Vol 101 ◽  
pp. 590-604 ◽  
Author(s):  
Chunlin Li ◽  
Chengyi Wang ◽  
Hengliang Tang ◽  
Youlong Luo

2011 ◽  
Vol 187 ◽  
pp. 232-236
Author(s):  
Xun Yi Ren ◽  
Ru Chuan Wang ◽  
Xiao Dong Ma

Maintaining consistency among replicas is an important technique for improving the efficiency of data grids. In order to improve replica consistency management, one fast reading and writing method is proposed, where two update algorithms is applied to accelerate Maintaining consistency among replicas. The first layer is synchronization writing form one peer to many peers at the same time, thus avoiding repeat read and writing of replica from the primary node. In second algorithm the node with good bandwidth is elected as new master node to enlarge the number of concurrent update streams. The experimental results show that the proposed model can reduce complete time compared with lazy copy, positive copy in some scenes.


Author(s):  
Priyanka Vashisht ◽  
Vijay Kumar ◽  
Rajesh Kumar ◽  
Anju Sharma

Data replication is widely used mechanism aiming at ensuring efficient access, improving performance and providing quality data in data grids. The properties of file and their replicas can vary with time resulting to inconsistency. In this paper, an agent-based replica consistency approach, namely, Replica Consistency and Conflict Resolution (RCCR) has been proposed to improve the efficiency of the system. RCCR is hybrid approach which is used to address the problem of inconsistency in multi master environment. Additionally, the conflict resolution approach is introduced based on vector clock and version of the replica. Finally, simulated results are presented and compared with existing consistency approaches such as Pessimistic, Optimistic and One-way Replica Consistency (ORCS). The simulated results depicts that proposed RCCR approach performs better when writeable replicas are more likely to occur.


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