Name
Abstract | ||
|---|---|---|
Concentrating on a single resource cannot efficiently cope with the overall high utilization of resources in cloud data centers. Nowadays multiple resource scheduling problem is more attractive to researchers. Some studies achieve progresses in multi-resource scenarios. However, these previous heuristics have obvious limitations in complex software defined cloud environment. Focusing on energy conservation and load balancing, we propose a preciousness model for multiple resource scheduling in this paper. We give the formulation of the problem and propose an innovative strategy (P-Aware). In P-Aware, a special algorithm PMDBP (Proportional Multi-dimensional Bin Packing) is applied in the multi-dimensional bin packing approach. In this algorithm, multiple resources are consumed in a proportional way. Structure and details of PMDBP are discussed in this paper. Extensive experiments demonstrate that our strategy outperforms others both in efficiency and load balancing. Now P-Aware has been implemented in the resource management system in our cooperative company to cut energy consumption and reduce resource contention. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s10586-016-0593-6 | Cluster Computing |
Keywords | Field | DocType |
Cloud data center,energy conservation,load balancing,multiple dimensions,multiple resource scheduling,bin-packing,SDCloud | Energy conservation,Scheduling (computing),Computer science,Load balancing (computing),Heuristics,Resource Management System,Energy consumption,Bin packing problem,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
19 | 3 | 1386-7857 |
Citations | PageRank | References |
1 | 0.35 | 45 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hang Zhou | 1 | 5 | 1.40 |
| Qing Li | 2 | 5 | 1.40 |
| Weiqin Tong | 3 | 159 | 29.88 |
| Samina Kausar | 4 | 12 | 3.91 |
| Hai Zhu | 5 | 87 | 22.69 |