Call For Paper Volume:4 Issue:10 Oct'2017 |

DATA REPLICATION OPTIMIZATION IN DATA GRID USING CENTRALIZED ALGORITHM STRATEGY

Publication Date : 10/07/2015



Author(s) :

Prof. D.S.Rajnor , Prateek Laddha , Akshaykumar Jain , Pranay Gothi , Rohit Tatiya.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

Data replication has been well adopted in data intensive scientific applications to reduce data file transfer time and bandwidth expenditure. However, the problem of data replication in Data Grids, an enable technology for data intensive applications, has confirmed to be NP-hard and still non approximable, creation this problem not easy to solve. Meanwhile, most of the previous research in this field is either theoretical survey without practical concern, or heuristics-based with little or no theoretical presentation assurance. In this paper, we propose a data replication algorithm that not only has a provable theoretical act guarantee, but also can be implemented in a distributed and sensible manner. Specifically, a polynomial time centralized replication algorithm is designed that reduces the total data file access hold-up by at least half of that reduced by the optimal replication solution. Based on this centralized algorithm, and also design a distributed caching algorithm, which can be simply adopted in a distributed surroundings such as Data Grids. Broad simulations are performed to legalize the effectiveness of our proposed algorithms .Using our own simulator show that our centralized replication algorithm performs comparably to the optimal algorithm and other intuitive heuristics under different network parameters. Using GridSim as well as flash builder , a well-liked distributed Grid simulator or alternative by using adobe flash, we express that the distributed caching technique considerably outperforms an live popular file caching technique in Data Grids, and it is more scalable as well adaptive to the dynamic change of file right to use pattern in Data Grids.


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