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International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749 . Open Access


Optimization of Replica Consistency and Conflict Resolution in Data Grid Environment

Optimization of Replica Consistency and Conflict Resolution in Data Grid Environment

Priyanka Vashisht
Department of Computer Science and Engineering, North Cap University, Gurugram, India.

Vijay Kumar
Department of Applied Mathematics, Amity Institute of Applied Sciences, Amity University, Noida, India.

Rajesh Kumar
Department of Computer Science and Engineering, Thapar University, Patiala, India.

Anju Sharma
Department of Computer Science and Engineering, Panjab Technical Institute of Technology, Rajpura, India.

DOI https://dx.doi.org/10.33889/IJMEMS.2019.4.6-112

Received on February 21, 2019
  ;
Accepted on September 12, 2019

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.

Keywords- Replica consistency, Conflict resolution, Data grid, Pessimistic approach, Optimistic approach.

Citation

Vashisht, P., Kumar, V., Kumar, R., & Sharma, A. (2019). Optimization of Replica Consistency and Conflict Resolution in Data Grid Environment. International Journal of Mathematical, Engineering and Management Sciences, 4(6), 1420-1433. https://dx.doi.org/10.33889/IJMEMS.2019.4.6-112.