Name
Abstract | ||
|---|---|---|
Cloud service providers offer virtual machines (VMs) as services to users over Internet. As VMs are running on physical machines (PMs), PM power consumption needs to be considered. Meanwhile, VMs running on the same PM share physical resources, and there exists great resource contention, which results in VM performance degradation. Therefore, how to place VMs to reduce PM power consumption and gua... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPDS.2018.2794369 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Cloud computing,Power demand,Optimization,Degradation,Virtual machining,Resource management,Approximation algorithms | Ant colony optimization algorithms,Resource management,Approximation algorithm,Virtual machine,Computer science,CPU time,Optimization problem,Distributed computing,Cloud computing,The Internet | Journal |
Volume | Issue | ISSN |
29 | 6 | 1045-9219 |
Citations | PageRank | References |
11 | 0.56 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Zhao | 1 | 29 | 3.98 |
| Jing Wang | 2 | 20 | 3.79 |
| feng liu | 3 | 180 | 39.13 |
| Quan Wang | 4 | 105 | 21.41 |
| Weizhan Zhang | 5 | 101 | 18.64 |
| Qinghua Zheng | 6 | 1261 | 160.88 |