Simulation of Dynamic Grid Replication Strategies in OptorSim
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Identifying Dynamic Replication Strategies for a High-Performance Data Grid
GRID '01 Proceedings of the Second International Workshop on Grid Computing
Using grid technologies to face medical image analysis challenges
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Simulation of Dynamic Data Replication Strategies in Data Grids
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Models for Replica Synchronisation and Consistency in a Data Grid
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Replica Placement in Data Grid: Considering Utility and Risk
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
The grid core technologies
Replica Placement Design with Static Optimality and Dynamic Maintainability
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Decentralized data management framework for data grids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Defining the grid: a snapshot on the current view
The Journal of Supercomputing
A dynamic weighted data replication strategy in data grids
AICCSA '08 Proceedings of the 2008 IEEE/ACS International Conference on Computer Systems and Applications
A model to predict the optimal performance of the Hierarchical Data Grid
Future Generation Computer Systems
Introduction to Algorithms, Third Edition
Introduction to Algorithms, Third Edition
Dynamic Period vs Static Period in Data Grid Replication
3PGCIC '10 Proceedings of the 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
An Efficient Replication Strategy for Dynamic Data Grids
3PGCIC '10 Proceedings of the 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
An efficient replica placement strategy in highly dynamic data grids
International Journal of Grid and Utility Computing
A survey of dynamic replication strategies for improving data availability in data grids
Future Generation Computer Systems
Improving job scheduling performance with dynamic replication strategy in data grids
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
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Data grids provide services and infrastructures for data-intensive applications that need to access to huge amount of data stored at distributed locations around the world. The size of these data can reach hundreds of petabytes scale in many applications. Ensuring an efficient and fast access to such massive data is a challenge that must be addressed. Replication is a key technique used in data grids to improve data access efficiency. Replication also provides high availability, decreased bandwidth consumption, improved fault tolerance and enhanced scalability. In this paper, we propose a new decentralized replication strategy for dynamic data grids, called DPRSKP which stands for Decentralized Periodic Replication Strategy based on Knapsack Problem. Our goal is to select the best candidate files for replication and to place them in the best locations assuming limited storage for replicas. The problem isformulated according to the knapsack problem. Our proposed strategy includes LRU and LFU strategies. The obtained experiment results, using OptorSim, show that our strategy outperforms other replication strategies in terms of response time and bandwidth consumption.