Name
Abstract | ||
|---|---|---|
Many modern software applications rely on parallel job processing to exploit large resource pools available in cloud and grid infrastructures. The response time of a parallel job, made of many subtasks, is determined by the last subtask that finishes. Thus, a single laggard subtask or a failure, requiring re-processing, may increase the response time substantially. To overcome these issues, we exp... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TPDS.2015.2496593 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Time factors,Reliability,Correlation,Program processors,Computational modeling,Absorption,Servers | Replica,Computer science,Server,Computer network,Quality of service,Response time,Real-time computing,Exploit,Stochastic modelling,Grid,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
27 | 8 | 1045-9219 |
Citations | PageRank | References |
7 | 0.47 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhan Qiu | 1 | 39 | 4.51 |
| Juan F. Pérez | 2 | 106 | 11.80 |