Identifying Dynamic Replication Strategies for a High-Performance Data Grid
GRID '01 Proceedings of the Second International Workshop on Grid Computing
Distributed Database Management Systems and the Data Grid
MSS '01 Proceedings of the Eighteenth IEEE Symposium on Mass Storage Systems and Technologies
Improving Availability and Performance with Application-Specific Data Replication
IEEE Transactions on Knowledge and Data Engineering
A Weight-Based Dynamic Replica Replacement Strategy in Data Grids
APSCC '08 Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference
Replicated data management in the grid: the Re:GRIDiT approach
Proceedings of the 1st ACM workshop on Data grids for eScience
On Fairness, Optimizing Replica Selection in Data Grids
IEEE Transactions on Parallel and Distributed Systems
A model to predict the optimal performance of the Hierarchical Data Grid
Future Generation Computer Systems
Branch replication scheme: A new model for data replication in large scale data grids
Future Generation Computer Systems
Accessing data from many servers simultaneously and adaptively in data grids
Future Generation Computer Systems
Agent Based Replica Placement in a Data Grid Environement
CICSYN '09 Proceedings of the 2009 First International Conference on Computational Intelligence, Communication Systems and Networks
The impact of data replication on job scheduling performance in the Data Grid
Future Generation Computer Systems
Secure Data Objects Replication in Data Grid
IEEE Transactions on Dependable and Secure Computing
A New Replica Creation and Placement Algorithm for Data Grid Environment
DSDE '10 Proceedings of the 2010 International Conference on Data Storage and Data Engineering
PHFS: A dynamic replication method, to decrease access latency in the multi-tier data grid
Future Generation Computer Systems
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
Improve the Performance of Data Grids by Value-Based Replication Strategy
SKG '10 Proceedings of the 2010 Sixth International Conference on Semantics, Knowledge and Grids
Distributed Popularity Based Replica Placement in Data Grid Environments
PDCAT '10 Proceedings of the 2010 International Conference on Parallel and Distributed Computing, Applications and Technologies
Enhanced Fast Spread Replication strategy for Data Grid
Journal of Network and Computer Applications
QoS-Aware Distributed Replica Placement in Hierarchical Data Grids
AINA '11 Proceedings of the 2011 IEEE International Conference on Advanced Information Networking and Applications
A cloud architecture with an efficient scheduling technique
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
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A millions of data has been produce by cross-organizational research and collaborations must be managed, shared and analyzed. Data grid is a useful technique to solve these tasks that applicable to process the large number of data produced by scientific experiments. It also enables an organization to operate and manage distributed resources over the internet as a secure, robust, and flexible infrastructure. Some problems must be considered in managing data grid such as reliability and availability of the data to the user access, network latency, failures or malicious attacks during execution and etc. The replication strategy is the solution to solve these problems that can minimize the time access to the data by creating many replicas and storing replicas in appropriate locations. In this paper, we present some reviews on the existing dynamic replication replacement strategies due to the limited storage used on data grid and also to improve the management of data grid. It is shown that replication techniques able to improve availability and reliability of data, network latency, bandwidth consumption, fault tolerance and etc in data grid environments.