Review on Concurrent Data Transfer in Grid Computing

  • Muhammad Farhan Sjaugi
  • Mohamed Othman
  • Suhaimi Napis
Conference paper


Current trend of network-based multimedia storage, distributed scientific simulations and distributed geographic information system applications are require both compute intensive and data intensive. This is unavoidable since grid and cloud computing technologies are more promising and demanding because of its scalability and performance. The greatest challenge to develop infrastructure services for grid and cloud computing is heterogenity. This heterogenity includes machine architecture, operating system and network resources. Most common solution to increase processing power and storage is by adding more node and storage units to the cluster and also adding more network interface and connection to increase the total communication bandwidth among the cluster. In this paper, we reviewed available solutions on concurrent data transfer in Grid Computing in order to support data intensive application in grid computing by utilizing available multiple network interfaces. We organized our review based on solutions based on three different layers: Data-Link, Transport and Middleware.


Cloud Computing Grid Computing Network Interface Storage Unit Network Interface Card 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Muhammad Farhan Sjaugi
    • 1
  • Mohamed Othman
    • 1
  • Suhaimi Napis
    • 1
  1. 1.UPMSerdangMalaysia

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