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» Performance Evaluation of Selected Job Management Systems
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GPC
2008
Springer
15 years 2 months ago
Using Moldability to Improve Scheduling Performance of Parallel Jobs on Computational Grid
In a computational grid environment, a common practice is try to allocate an entire parallel job onto a single participating site. Sometimes a parallel job, upon its submission, ca...
Kuo-Chan Huang, Po-Chi Shih, Yeh-Ching Chung
134
Voted
CLOUD
2010
ACM
15 years 7 months ago
Making cloud intermediate data fault-tolerant
Parallel dataflow programs generate enormous amounts of distributed data that are short-lived, yet are critical for completion of the job and for good run-time performance. We ca...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...
137
Voted
CLUSTER
2006
IEEE
15 years 8 months ago
JOSHUA: Symmetric Active/Active Replication for Highly Available HPC Job and Resource Management
Most of today‘s HPC systems employ a single head node for control, which represents a single point of failure as it interrupts an entire HPC system upon failure. Furthermore, it...
Kai Uhlemann, Christian Engelmann, Stephen L. Scot...
JSSPP
2005
Springer
15 years 7 months ago
Pitfalls in Parallel Job Scheduling Evaluation
There are many choices to make when evaluating the performance of a complex system. In the context of parallel job scheduling, one must decide what workload to use and what measur...
Eitan Frachtenberg, Dror G. Feitelson
136
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JSSPP
2004
Springer
15 years 7 months ago
Enhancements to the Decision Process of the Self-Tuning dynP Scheduler
The self-tuning dynP scheduler for modern cluster resource management systems switches between different basic scheduling policies dynamically during run time. This allows to reac...
Achim Streit