Artificial Intelligence Review - Special issue on lazy learning
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
NAS Grid Benchmarks: A Tool for Grid Space Exploration
Cluster Computing
Load Balancing across Near-Homogeneous Multi-Resource Servers
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
A De-Centralized Scheduling and Load Balancing Algorithm for Heterogeneous Grid Environments
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
A System for Monitoring and Management of Computational Grids
ICPP '02 Proceedings of the 2002 International Conference on Parallel Processing
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Scheduler oriented grid performance evaluation
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
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To better utilize its vast collection of heterogeneous resources that are geographically distributed across the United States, NASA is constructing a computational grid called the Information Power Grid (IPG). This paper describes various tools and techniques that we are developing to measure and improve the performance of a broad class of NASA applications when run on the IPG. In particular, we are investigating the areas of grid benchmarking, grid monitoring, user-level application scheduling, and decentralized system-level scheduling.