Location Independent Remote Execution in NEST
IEEE Transactions on Software Engineering
Using idle workstations in a shared computing environment
SOSP '87 Proceedings of the eleventh ACM Symposium on Operating systems principles
A Trace-Driven Simulation Study of Dynamic Load Balancing
IEEE Transactions on Software Engineering
Performance of optimistic make
SIGMETRICS '89 Proceedings of the 1989 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
An examination of strategies for estimating capacity to share among private workstations
SIGSMALL '91 Proceedings of the 1991 ACM SIGSMALL/PC symposium on Small systems
The available capacity of a privately owned workstation environment
Performance Evaluation
Load-balancing heuristics and process behavior
SIGMETRICS '86/PERFORMANCE '86 Proceedings of the 1986 ACM SIGMETRICS joint international conference on Computer performance modelling, measurement and evaluation
The distributed V kernel and its performance for diskless workstations
SOSP '83 Proceedings of the ninth ACM symposium on Operating systems principles
SRDS '96 Proceedings of the 15th Symposium on Reliable Distributed Systems
Supporting simulation in industry through the application of grid computing
Proceedings of the 40th Conference on Winter Simulation
Towards autonomic management for Cloud services based upon volunteered resources
Concurrency and Computation: Practice & Experience
Distributed gang scheduling in networks of heterogenous workstations
Computer Communications
State-based predictions with self-correction on Enterprise Desktop Grid environments
Journal of Parallel and Distributed Computing
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The author analyzes workstation patterns in order to understand opportunities for exploiting idle capacity. This study is based on traces of users workstation activity in a university environment. It identifies two areas where enhancements can be made. One area is the ability of a manager of the shared capacity of a workstation cluster to schedule jobs with deadline constraints. This opportunity is the result of the ability to make good predictions of the time-varying amount of capacity that is available for sharing. A prediction strategy is developed that is shown to have only a small amount of error. For the second area of enhancement, it is shown that it is feasible to allocate partitions of workstations for specific periods. This aids those users who on occasion need exclusive access to several machines. The author examines the profile of periods during which exclusive access to partitions can be given, the rate that owners preempt users of partitions, and the distribution of interpreemption intervals.