Dedicated Laboratories - GCL: Grid Computing Laboratory
Description
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
Faculty Members
Ian R. Greenshields, (Director) Computer Science and Engineering, University of Connecticut
Group Laboratory Website
http://www.engr.uconn.edu/grid/
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