Abstract
Development of huge Cloud Data Centers (CDCs) and large-scale service application has led to enormous energy consumption. Migration objective used in many areas such as power reduction and load balancing in CDCs. However, most of the previous researches concentrated on maximize migration performance. Also, previous researches generally did not consider multi-objective. We have to consider combining multiple metrics and find good balance between metrics to minimize trade-off. In this paper, we proposed migration scheme for energy efficiency. The proposed scheme performs better than 9.5% the others.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 108-113 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538607831 |
| DOIs | |
| Publication status | Published - 2 Jul 2017 |
| Event | 2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 - Phuket, Thailand Duration: 20 Nov 2017 → 22 Nov 2017 |
Publication series
| Name | 2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 - Proceedings |
|---|---|
| Volume | 2017-November |
Conference
| Conference | 2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 |
|---|---|
| Country/Territory | Thailand |
| City | Phuket |
| Period | 20/11/17 → 22/11/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Cloud Data Center
- Energy efficiency
- Fuzzy logic
- Live Migration
- Resource management
- Virtual Machine
- workload
