Name
Abstract | ||
|---|---|---|
Recently, the concept of virtual data center (VDC) has attracted significant attention from researchers. VDC is made up of virtual nodes and virtual links with guaranteed bandwidth. It offers elasticity and flexibility, which means VDC can adjust resources dynamically according to different requirements. Existing studies focus on how to design the optimal embedding algorithm to achieve high success rate for the virtual data center request. However, due to the resource of physical data center changes over time, the optimal solution may become sub-optimal. In this paper, we study the problem of virtual data center migration and propose an energy-aware virtual data center migration algorithm, called CA-VDCM-ACO. This novel algorithm leverages the migration technique to further reduce the energy consumption with the success rate for the physical data center guaranteed. The extensive experiments show that our algorithm is very effective to reduce the energy consumption. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.20965/jaciii.2019.p0209 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
virtual data center migration,energy-aware,energy consumption,ant colony optimization | Ant colony optimization algorithms,Computer science,Real-time computing,Artificial intelligence,Energy consumption,Data center,Machine learning | Journal |
Volume | Issue | ISSN |
23 | 2 | 1343-0130 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao Ma | 1 | 252 | 34.88 |
| Zhongbao Zhang | 2 | 404 | 27.60 |
| Sen Su | 3 | 666 | 65.68 |