Gvu: A View-Oriented Framework for Data Management in Grid Environments

  • Pradeep Padala
  • Kang Shin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4297)


In a grid, data is stored in geographically-dispersed virtual organizations with varying administrative policies and structures. Current grid middleware provide basic data-management services including data access, transfer and simple replica management. Grid applications often require much more sophisticated and flexible mechanisms for manipulating data than these, including logical hierarchical namespace, automatic replica management and automatic latency management. We propose a view-oriented framework that builds on top of existing middleware and provides global and application-specific logical hierarchical views. Specifically, we developed mechanisms to create, maintain, and update these views. The views are synchronized using an efficient group communication protocol. Gvu (pronounced G-view) is built as a distributed set of synchronized servers and scales much better than the existing grid services. We conducted experiments to measure various aspects of Gvu and report on the results, showing Gvu to outperform existing grid services, thanks to its distributed nature.


Read Time Compact Muon Solenoid Grid Environment Query Execution Logical View 
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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© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Pradeep Padala
    • 1
  • Kang Shin
    • 1
  1. 1.EECSUniversity of Michigan 

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