Utopia: a load sharing facility for large, heterogeneous distributed computer systems
Software—Practice & Experience
The interaction of parallel and sequential workloads on a network of workstations
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Exploiting Fine-Grained Idle Periods in Networks of Workstations
IEEE Transactions on Parallel and Distributed Systems
Linger Longer: fine-grain cycle stealing for networks of workstations
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
Efficient network and I/O throttling for fine-grain cycle stealing
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Solving hub arc location problems on a cluster of workstations
Parallel Computing - Special issue: Parallel computing in logistics
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A dedicated cluster is often not fully utilized even when all of its processors are allocated to jobs. This occurs any time that a running job does not use 100% of each of the processors allocated to it. We increase the throughput and efficiency of the cluster by scheduling background jobs to run concurrently with the "primary" jobs originally scheduled on the cluster. We do this while maintaining the quality of service provided to the primary jobs. Our results come from empirical measurements using production applications.