Core Algorithms of the Maui Scheduler
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
Scheduling with Advanced Reservations
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
Probabilistic advanced reservations for batch-scheduled parallel machines
Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming
VARQ: virtual advance reservations for queues
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Adaptive pricing for resource reservations in Shared environments
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
Future Generation Computer Systems
VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
On advantages of scheduling using genetic fuzzy systems
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
On the placement of reservations into job schedules
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
Online algorithms for single machine schedulers to support advance reservations from grid jobs
HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
List-based Data Structures for Efficient Management of Advance Reservations
International Journal of Parallel Programming
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Advance Reservations are an important concept to support QoS and Workflow Scheduling in Grid environments. However, the impact of reservations from the Grid on the performance of local schedulers is not yet known. Using discrete event simulations we evaluate the impact of reservations on planning-based resource management of standard batch jobs. Our simulations are based on a real trace from the parallel workload archive. By introducing a new option for scheduling reservations in planning-based resource management, less reservation requests are rejected. Our results are important for increasing the acceptability of the Grid technology. We show, that a limited number of additional resource reservations from the Grid have only a limited impact on the performance of the traditionally submitted batch jobs.