Name
Title | ||
|---|---|---|
Cost and Energy Aware Scheduling Algorithm for Scientific Workflows with Deadline Constraint in Clouds. |
Abstract | ||
|---|---|---|
Cloud computing is a suitable platform to execute the deadline-constrained scientific workflows which are typical big data applications and often require many hours to finish. Moreover, the problem of energy consumption has become one of the major concerns in clouds. In this paper, we present a cost and energy aware scheduling (CEAS) algorithm for cloud scheduler to minimize the execution cost of ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSC.2015.2466545 | IEEE Transactions on Services Computing |
Keywords | Field | DocType |
Energy consumption,Cloud computing,Pricing,Big data,Scheduling,Computational modeling,Algorithm design and analysis | Fair-share scheduling,Computer science,Two-level scheduling,Real-time computing,Least slack time scheduling,Rate-monotonic scheduling,Earliest deadline first scheduling,Dynamic priority scheduling,Energy consumption,Distributed computing,CloudSim | Journal |
Volume | Issue | ISSN |
11 | 4 | 1939-1374 |
Citations | PageRank | References |
19 | 0.63 | 17 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| zhongjin li | 1 | 70 | 11.38 |
| JiDong Ge | 2 | 119 | 28.39 |
| Haiyang Hu | 3 | 80 | 22.78 |
| Wei Song | 4 | 93 | 10.22 |
| Hao Hu | 5 | 159 | 15.59 |
| Bin Luo | 6 | 66 | 21.04 |