Application scheduling and processor allocation in multiprogrammed parallel processing systems
Performance Evaluation - Special issue: performance modeling of parallel processing systems
Effective distributed scheduling of parallel workloads
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Using parallel program characteristics in dynamic processor allocation policies
Performance Evaluation
High-Performance Computer Management Based on JAVA
HPCN Europe 1998 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Campus-Wide Computing: Early Results Using Legion at The University of Virginia
Campus-Wide Computing: Early Results Using Legion at The University of Virginia
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The importance of metacomputing is without question. Only such a use of distributed resources, as in metacomputing, has the potential to maximize performance and cost effectiveness of a wide range of scientific and distributed applications. There are several projects that address the metacomputing area. Globus [Globus97], [Globus98], Legion [Legion], HPCM [HPCM98] are only a few examples. However, in most cases resource dynamics are not taken into account. In this paper we present a concept of the metacomputer management software based on the expert system techniques. The knowledge about some specific aspects of metacomputing, like system specific knowledge, communication networks parameters, architecture specialization, run-time scheduling techniques, optimal resource allocation etc. is kept and managed by different experts. They negotiate with each other to make up a common scheduling decision.