Abstract
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.
Highlights
Distributed environment like data grid rely on sharing data and resources between various scientists and researchers to execute common tasks (Guroob and Manjaiah, 2016)
Evaluation Parameters and Experimental Results The efficiency of Replica Consistency and Conflict Resolution (RCCR) is considered based on five performance metrics percentage of accessing consistent data, amount of update transaction, retired request rate, conflict rate and mean job execution time
In One-way Replica Consistency (ORCS), consistency depends on the request of the user and RCCR uses hybrid approach for maintaining the consistency and resolving the conflict within the replicas
Summary
Distributed environment like data grid rely on sharing data and resources between various scientists and researchers to execute common tasks (Guroob and Manjaiah, 2016). One copy serialization uses locking technique for propagating updates across distributed files, as a result large number of replication and frequent updates decreases the performance of pessimistic approach. Guroob and Manjaiah (2016) proposed a novel approach, namely, Efficient Replica Consistency Model (ERCM) for propagating updates in distributed grid environment. (iv) Coordination and Agreement: In this step the agent on the head node will update the corresponding information and propagates the results to the other nodes containing replicas of the same file. During this phase, the operation is scheduled for execution at all relevant nodes within the region, and same is updated with the master node. They must be handled mutually by exchanging information among various master nodes
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