Grid Computing Lab


The Grid Computing Lab (GCL) is supported by faculty, graduate, and undergraduate students with joint interests in GRID Computing. The Grid Group has research interests in the following areas:
  • Adaptive GRID Computing
  • Resource Management in Computational Grids
  • Adaptive Scheduling and Dynamic Load Balancing in Grids
  • Learning Algorithms for Scheduling in Computational Grids
  • Performance Analysis and Visualization
  • Adaptive Performance Forecasting
  • Intelligent Data Analysis and Data Mining
  • Agent Technologies in Cluster and Distributed Computing
  • Parallel and High Performance Computing
  • High Throughput Computing
  • Networking, Protocols, and I/O High Speed Networks
  • Functional Programming and Distributed Virtual Machines
  • Remote Sensing and Distributed Visualization
GRID Computing has laboratory facilities in the Booth Research Center, The GRID Computing Lab web site describes current research projects.<br />
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<strong>Faculty Members</strong><br />
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<a href="index.php/faculty-and-staff/faculty-contacts/15-ian-greenshields"> Ian R. Greenshields</a>, (Director) Computer Science and Engineering, University of Connecticut<br />
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<strong>Group Laboratory Website</strong><br />
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