Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
Data Management in an International Data Grid Project
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Giggle: a framework for constructing scalable replica location services
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Evaluation of an Economy-Based File Replication Strategy for a Data Grid
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
MSS '01 Proceedings of the Eighteenth IEEE Symposium on Mass Storage Systems and Technologies
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
Latency-Driven Replica Placement
SAINT '05 Proceedings of the The 2005 Symposium on Applications and the Internet
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Optimal Placement of Replicas in Data Grid Environments with Locality Assurance
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
An on-line replication strategy to increase availability in Data Grids
Future Generation Computer Systems
The impact of data replication on job scheduling performance in the Data Grid
Future Generation Computer Systems
A survey of dynamic replication strategies for improving data availability in data grids
Future Generation Computer Systems
PDDRA: A new pre-fetching based dynamic data replication algorithm in data grids
Future Generation Computer Systems
PFRF: An adaptive data replication algorithm based on star-topology data grids
Future Generation Computer Systems
Enhanced Dynamic Hierarchical Replication and Weighted Scheduling Strategy in Data Grid
Journal of Parallel and Distributed Computing
Journal of Network and Computer Applications
Job scheduling and dynamic data replication in data grid environment
The Journal of Supercomputing
Dynamic replica placement and selection strategies in data grids- A comprehensive survey
Journal of Parallel and Distributed Computing
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Grid computing is emerging as a key part of the infrastructure for a wide range of disciplines in science and engineering, including astronomy, high energy physics, molecular biology and earth sciences. These applications handle large data sets that need to be transferred and replicated among different grid sites. A data grid deals with data intensive applications in scientific and enterprise computing. Data grid technology is developed to permit data sharing across many organizations in geographically disperse locations. Replication of data to different sites will help researchers around the world analyse and initiate future experiments. The general idea of replication is to store copies of data in different locations so that data can be easily recovered if a copy at one location is lost or unavailable. In a large-scale data grid, replication provides a suitable solution for managing data files, which enhances data reliability and availability. In this paper, a Modified BHR algorithm is proposed to overcome the limitations of the standard BHR algorithm. The algorithm is simulated using a data grid simulator, OptorSim, developed by European Data Grid projects. The performance of the proposed algorithm is improved by minimizing the data access time and avoiding unnecessary replication.