A two phased service oriented Broker for replica selection in data grids

  • Authors:

  • Rafah M. Almuttairi;Rajeev Wankar;Atul Negi;C. R. Rao;Arun Agarwal;Rajkumar Buyya

  • Affiliations:

  • Grid Computing and Distributed Systems Lab, Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, India;Grid Computing and Distributed Systems Lab, Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, India;Grid Computing and Distributed Systems Lab, Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, India;Grid Computing and Distributed Systems Lab, Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, India;Grid Computing and Distributed Systems Lab, Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, India;Cloud Computing and Distributed Systems Lab, The University of Melbourne, Parkville, Australia

  • Venue:
  • Future Generation Computer Systems
  • Year:
  • 2013

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Abstract

Replica selection is one of the fundamental problems in Data Grid's environment. This work's concern is designing a Two phasedService Oriented Broker (2SOB) for replica selection. It is focused on investigating, selecting, modifying, and experimenting with some non-conventional approaches to be applied on the relevant selection techniques. The motivation of this work is to introduce a novel Service OrientedBroker for Replica Selection in Data Grid. The main characteristics of this 2SOB are: Scalability, Reliability, Availability, Efficiency and Ease of deployment. 2SOB consists of two phases; the first is a Coarse-grainphase, basically used for sifting replica sites that have low latency (uncongested network links) and distinguishing them from other replicas having a high latency (congested network links). Procedurally, this has been done using the association rules concept of the Data Mining approach. The second is a Fine-grainphase,used for extracting the replicas admissible for user requirements through applying Modified Minimum Cost and Delay Policy (MMCD). Both phases have accordingly been designed, simulated, coded, and then validated using real data from EU Data Grid.The first phase has thereby been applied on the real network data of CERN (February 2011). Experimentations compared with some other contemporary selection methods of different Brokers showed appreciable results. Using this proposed Broker it is possible to achieve an enhancement in the speed of executing Data Grid jobs through reducing the transfer time.