Name
Abstract | ||
|---|---|---|
Scheduling tasks close to their data and optimising resources utilisation are both crucial for the efficiency of MapReduce system. On the other hand, there is a conflict between fairness and efficiency. In this study, an efficient and dominant resource held time fairness (EHTF) scheduler is presented, in which the efficient utilisation of resources, data locality and fairness are addressed simulta... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-sen.2015.0109 | IET Software |
Keywords | Field | DocType |
data handling,resource allocation,scheduling | Fixed-priority pre-emptive scheduling,Locality,Scheduling (computing),Computer science,Real-time computing,Maximum throughput scheduling,Fairness measure,Fairness Doctrine,Throughput,Distributed computing | Journal |
Volume | Issue | ISSN |
10 | 6 | 1751-8806 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianxin Liao | 1 | 457 | 82.08 |
| Lei Zhang | 2 | 4 | 2.10 |
| Tonghong Li | 3 | 141 | 21.89 |
| J. Wang | 4 | 479 | 95.23 |
| Qi Qi | 5 | 210 | 56.01 |