Computer scheduling algorithms: past, present, and future
Information Sciences: an International Journal - Special issue on information sciences—past, present, and future
Designing parallel programs by the graphical language GRAPNEL
Microprocessing and Microprogramming - Special double issue: parallel systems engineering
Implementing a performance forecasting system for metacomputing: the Network Weather Service
SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
Workload Characteristics for Process Migration and Load Balancing
ICDCS '97 Proceedings of the 17th International Conference on Distributed Computing Systems (ICDCS '97)
ClusterProbe: An Open, Flexible and Scalable Cluster Monitoring Tool
IWCC '99 Proceedings of the 1st IEEE Computer Society International Workshop on Cluster Computing
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PC clusters are still more popular platform for high performance computing. But there is still lack of freely available tools for resource monitoring and management usable for efficient workload distribution. In this paper, a monitoring system for PC clusters called Cluster Information Service (CIS) is described. Its purpose is to provide clients (resource management system or application scheduler) with information about availability of resources in PC cluster. This information can help the scheduler to improve performance of parallel application. CIS is designed to have as lowin trusiveness as possible while keeping a high detail of monitoring data. The possibility of improving the performance of PVM/MPI applications is also discussed.