File and Object Replication in Data Grids
Cluster Computing
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
Grids and grid technologies for wide-area distributed computing
Software—Practice & Experience
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
Towards an Economy-Based Optimisation of File Access and Replication on a Data Grid
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Evaluating Scheduling and Replica Optimisation Strategies in OptorSim
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Data discovery algorithm for scientific data grid environment
Journal of Parallel and Distributed Computing - Special issue: Design and performance of networks for super-, cluster-, and grid-computing: Part II
A multi-dimensional scheduling scheme in a Grid computing environment
Journal of Parallel and Distributed Computing
Job scheduling and data replication on data grids
Future Generation Computer Systems
An on-line replication strategy to increase availability in Data Grids
Future Generation Computer Systems
A dynamic data replication strategy using access-weights in data grids
The Journal of Supercomputing
Optimal replica placement in hierarchical Data Grids with locality assurance
Journal of Parallel and Distributed Computing
Replica selection strategies in data grid
Journal of Parallel and Distributed Computing
Impact of Parallel Download on Job Scheduling in Data Grid Environment
GCC '08 Proceedings of the 2008 Seventh International Conference on Grid and Cooperative Computing
The Globus Replica Location Service: Design and Experience
IEEE Transactions on Parallel and Distributed Systems
Dynamic replication algorithms for the multi-tier Data Grid
Future Generation Computer Systems - Special issue: Parallel computing technologies
The impact of data replication on job scheduling performance in the Data Grid
Future Generation Computer Systems
Pro-active failure handling mechanisms for scheduling in grid computing environments
Journal of Parallel and Distributed Computing
Realistic Workload Modeling and Its Performance Impacts in Large-Scale eScience Grids
IEEE Transactions on Parallel and Distributed Systems
On the Benefit of Processor Coallocation in Multicluster Grid Systems
IEEE Transactions on Parallel and Distributed Systems
Dynamic replication in a data grid using a Modified BHR Region Based Algorithm
Future Generation Computer Systems
Enhanced Fast Spread Replication strategy for Data Grid
Journal of Network and Computer Applications
Data Replication in Data Intensive Scientific Applications with Performance Guarantee
IEEE Transactions on Parallel and Distributed Systems
Dynamic QoS-aware data replication in grid environments based on data "importance"
Future Generation Computer Systems
A hybrid policy for fault tolerant load balancing in grid computing environments
Journal of Network and Computer Applications
PDDRA: A new pre-fetching based dynamic data replication algorithm in data grids
Future Generation Computer Systems
A dynamic replica management strategy in data grid
Journal of Network and Computer Applications
PFRF: An adaptive data replication algorithm based on star-topology data grids
Future Generation Computer Systems
Computers and Operations Research
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The Data Grid provides massive aggregated computing resources and distributed storage space to deal with data-intensive applications. Due to the limitation of available resources in the grid as well as production of large volumes of data, efficient use of the Grid resources becomes an important challenge. Data replication is a key optimization technique for reducing access latency and managing large data by storing data in a wise manner. Effective scheduling in the Grid can reduce the amount of data transferred among nodes by submitting a job to a node where most of the requested data files are available. In this paper two strategies are proposed, first a novel job scheduling strategy called Weighted Scheduling Strategy (WSS) that uses hierarchical scheduling to reduce the search time for an appropriate computing node. It considers the number of jobs waiting in a queue, the location of the required data for the job and the computing capacity of the sites Second, a dynamic data replication strategy, called Enhanced Dynamic Hierarchical Replication (EDHR) that improves file access time. This strategy is an enhanced version of the Dynamic Hierarchical Replication strategy. It uses an economic model for file deletion when there is not enough space for the replica. The economic model is based on the future value of a data file. Best replica placement plays an important role for obtaining maximum benefit from replication as well as reducing storage cost and mean job execution time. So, it is considered in this paper. The proposed strategies are implemented by OptorSim, the European Data Grid simulator. Experiment results show that the proposed strategies achieve better performance by minimizing the data access time and avoiding unnecessary replication.