Name
Abstract | ||
|---|---|---|
Summary form only given. Large-scale systems like BlueGene/L are susceptible to a number of software and hardware failures that can affect system performance. We evaluate the effectiveness of a previously developed job scheduling algorithm for BlueGene/L in the presence of faults. We have developed two new job-scheduling algorithms considering failures while scheduling the jobs. We have also evaluated the impact of these algorithms on average bounded slowdown, average response time and system utilization, considering different levels of proactive failure prediction and prevention techniques reported in the literature. Our simulation studies show that the use of these new algorithms with even trivial fault prediction confidence or accuracy levels (as low as 10%) can significantly improve the performance of the BlueGene/L system. |
Year | DOI | Keywords |
|---|---|---|
2004 | 10.1109/IPDPS.2004.1302991 | parallel machines,performance evaluation,processor scheduling,system recovery,BlueGene/L systems,average response time,fault-aware job scheduling algorithm,proactive failure prediction,system utilization |
Field | DocType | ISBN |
Fixed-priority pre-emptive scheduling,Fair-share scheduling,Computer science,Parallel computing,Two-level scheduling,Least slack time scheduling,Rate-monotonic scheduling,Dynamic priority scheduling,Earliest deadline first scheduling,Round-robin scheduling,Distributed computing | Conference | 0-7695-2132-0 |
Citations | PageRank | References |
45 | 3.07 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adam J. Oliner | 1 | 715 | 51.10 |
| Ramendra K. Sahoo | 2 | 633 | 56.73 |
| José E. Moreira | 3 | 2282 | 230.26 |
| Manish Gupta | 4 | 241 | 27.47 |
| Anand Sivasubramaniam | 5 | 4485 | 291.86 |