Name
Abstract | ||
|---|---|---|
The up- and mid-stream of Huaihe River Basin is a complex system of reservoirs and river-ways. It is difficult for flood control and reservoir scheduling. It is ineffective to perform sequential computations for optimal scheduling of multi-reservoir due to the system complexity. In this paper, we implemented the multi-reservoir optimal scheduling algorithm in a Grid environment. Key components as multiple Protocols were developed within the layers of Grid architecture. The proposed Grid computing architecture provides an innovative design of multi-reservoir optimal scheduling system for increasing the accuracy of flood control and speedup of computing. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11610496_90 | APWeb Workshops |
Keywords | Field | DocType |
reservoir scheduling,grid-based system,complex system,huaihe river basin,system complexity,proposed grid computing architecture,grid architecture,optimal scheduling,multi-reservoir optimal scheduling system,flood control,grid environment,multi-reservoir optimal scheduling algorithm,grid computing,river basin | Grid computing,Flood control,Fair-share scheduling,Scheduling (computing),Computer science,Optimal design,Dynamic priority scheduling,Grid,Speedup,Distributed computing | Conference |
Volume | ISSN | ISBN |
3842 | 0302-9743 | 3-540-31158-0 |
Citations | PageRank | References |
1 | 0.68 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bing Liu | 1 | 1 | 0.68 |
| Huaping Chen | 2 | 265 | 12.92 |
| Guoyi Zhang | 3 | 13 | 5.04 |
| Shijin Xu | 4 | 7 | 3.00 |