Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Optimization: algorithms and consistent approximations
Optimization: algorithms and consistent approximations
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Packing Schemes for Gang Scheduling
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Architecture-Independent Request-Scheduling with Tight Waiting-Time Estimations
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Using Queue Time Predictions for Processor Allocation
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
An Integrated Approach to Parallel Scheduling Using Gang-Scheduling, Backfilling, and Migration
IEEE Transactions on Parallel and Distributed Systems
Costs and benefits of load sharing in the computational grid
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Computation of high-precision mathematical constants in a combined cluster and grid environment
LSSC'05 Proceedings of the 5th international conference on Large-Scale Scientific Computing
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
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We propose a scientific approach to optimize the system usage with parameter configuration, mainly by developing simulator software for NQS with which the system usage pattern could be virtually simulated with various parameter configurations, consequently makes us possible to see how optimally the system is used with the current configuration. Furthermore this scientific approach is useful to investigate a property of each parameter.