Advances in human-computer interaction (vol. 5)
Advances in human-computer interaction (vol. 5)
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
IEEE Transactions on Parallel and Distributed Systems
A Case for NOW (Networks of Workstations)
IEEE Micro
Packing Schemes for Gang Scheduling
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Implementing Explicit and Implicit Coscheduling in a PVM Environment (Research Note)
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
An Integrated Approach to Parallel Scheduling Using Gang-Scheduling, Backfilling, and Migration
IEEE Transactions on Parallel and Distributed Systems
A Comparative Evaluation of Implicit Coscheduling Strategies for Networks of Workstations
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
Resource Matching in Non-dedicated Multicluster Environments
High Performance Computing for Computational Science - VECPAR 2008
Safety scheduling strategies in distributed computing
International Journal of Critical Computer-Based Systems
On/off-line prediction applied to job scheduling on non-dedicated NOWs
Journal of Computer Science and Technology - Special issue on natural language processing
Using on-the-fly simulation for estimating the turnaround time on non-dedicated clusters
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
MetaLoRaS: a predictable metascheduler for non-dedicated multiclusters
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
Multicriteria scheduling strategies in scalable computing systems
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
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Our main interest is oriented towards keeping both local and parallel jobs together in a non-dedicated cluster. In order to obtain some profits from the parallel applications, it is important to consider time and space sharing as a mean to enhance the scheduling decisions. In this work, we introduce an integral scheduling system for non-dedicated clusters, termed CISNE. It includes both a previously developed dynamic coscheduling system and a space-sharing job scheduler to make better scheduling decisions than can be made separately. CISNE allows multiple parallel applications to be executed concurrently in a non dedicated Linux cluster with a good performance, as much from the point of view of the local user as that of the parallel application user. This is possible without disturbing the local user and obtaining profits for the parallel user. The good performance of CISNE has been evaluated in a Linux cluster.