Replication techniques in data grid environments
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Cloud Computing: Locally Sub-Clouds instead of Globally One Cloud
International Journal of Cloud Applications and Computing
Replica creation strategy based on quantum evolutionary algorithm in data gird
Knowledge-Based Systems
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In a data grid, large quantities of data files are produced and data replication is applied to reduce data access time. Determining when and where to replicate data in order to meet performance goals in grid systems with many users and files, dynamic network and resource characteristics and changing user behavior is difficult. Therefore efficiency and fast access to replicated data are influenced by the location of the resource holding the replica. In this paper, we present an agent based replica placement algorithm to determine the candidate site for the placement of replica. An agent is deployed at each site holding the master copies of the shared data files. To create a replica, each agent prioritizes the resources in the grid based on the resource configuration, bandwidth in the network and the demand for the replica at their sites and then creates a replica at suitable resource locations. We have carried out the simulation using GridSim Toolkit-4.0 [1] for EU Data Grid Testbed1 [14]. The simulation results show that the aggregated data transfer time and the execution time for jobs at various resources is less for agent based replica placement.