Name
Abstract | ||
|---|---|---|
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 measurements to take. These decisions sometimes have subtle implications that are easy to overlook. In this paper we document numerous pitfalls one may fall into, with the hope of providing at least some help in avoiding them. Along the way, we also identify topics that could benefit from additional research. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11605300_13 | JSSPP |
Keywords | Field | DocType |
parallel job scheduling evaluation,complex system,subtle implication,numerous pitfall,parallel job scheduling,additional research,simulation | Parallel algorithm,Workload,Computer science,Scheduling (computing),Real-time computing,Job scheduler,Distributed computing | Conference |
Volume | ISSN | ISBN |
3834 | 0302-9743 | 3-540-31024-X |
Citations | PageRank | References |
41 | 2.03 | 73 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eitan Frachtenberg | 1 | 1060 | 85.08 |
| Dror G. Feitelson | 2 | 3997 | 381.74 |