Availability and utility of idle memory in workstation clusters
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Simulating Job Scheduling for Clusters of Workstations
HPCN Europe 2000 Proceedings of the 8th International Conference on High-Performance Computing and Networking
Local versus Global Schedulers with Processor Co-allocation in Multicluster Systems
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
Effective Metacomputing using LSF MultiCluster
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Distributed Job Scheduling on Computational Grids Using Multiple Simultaneous Requests
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
MARS: A Metascheduler for Distributed Resources in Campus Grids
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Characterization of Bandwidth-Aware Meta-Schedulers for Co-Allocating Jobs Across Multiple Clusters
The Journal of Supercomputing
Backfilling with lookahead to optimize the packing of parallel jobs
Journal of Parallel and Distributed Computing
Parallel I/O scheduling in multiprogrammed cluster computing systems
ICCS'03 Proceedings of the 2003 international conference on Computational science
CISNE: a new integral approach for scheduling parallel applications on non-dedicated clusters
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Resource Matching in Non-dedicated Multicluster Environments
High Performance Computing for Computational Science - VECPAR 2008
MetaLoRaS: a re-scheduling and prediction metascheduler for non-dedicated multiclusters
PVM/MPI'07 Proceedings of the 14th European conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface
State-based predictions with self-correction on Enterprise Desktop Grid environments
Journal of Parallel and Distributed Computing
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The main aim of this work is to take advantage of the computer resources of a single organization or Multicluster system to execute distributed applications efficiently without excessively damaging the local users. In doing so we propose a Metascheduler environment named MetaLoRaS with a 2-level hierarchical architecture for a non-dedicated Multicluster with job prediction capabilities. Among other Metaschedulers, the non-dedicated feature and an efficient prediction system are the most distinctive characteristics of MetaLoRaS. Another important contribution is the effective cluster selection mechanism, based on the prediction system. In this article, we show how the hierarchical architecture and simulation mechanism are the best choices if we want to obtain an accurate prediction system and, at the same time, the best turnaround times for distributed jobs without damaging local user performance.