Abstract
With the rising demands on cloud services, the electricity consumption has been increasing drastically as the main operational expenditure (OPEX) to data center providers. The geographical heterogeneity of electricity prices motivates us to study the task placement problem over geo-distributed data centers. We exploit the dynamic frequency scaling technique and formulate an optimization problem that inimizes OPEX while guaranteeing the quality-of-service, i.e., the expected response time of tasks. The experimental results show that our proposal achieves much higher cost-efficiency than the traditional resizing scheme, i.e., by activating/deactivating certain servers in data centers.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013 |
| Publisher | IEEE Computer Society |
| Pages | 80-84 |
| Number of pages | 5 |
| ISBN (Print) | 9780769550886 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
| Externally published | Yes |
| Event | 15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013 - Zhangjiajie, Hunan, China Duration: 13 Nov 2013 → 15 Nov 2013 |
Conference
| Conference | 15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013 |
|---|---|
| Country/Territory | China |
| City | Zhangjiajie, Hunan |
| Period | 13/11/13 → 15/11/13 |
Keywords
- Cloud Computing
- Data Center
- DVFS
- OPEX minimization
ASJC Scopus subject areas
- Software
