Abstract
Cloud service providers such as Microsoft and Google are beginning to power up their datacenters using multiple energy sources. To reduce cost and emission, they incorporate green energy sources into the power supply, while to improve service availability, they back up datacenters using traditional (usually brown) energy sources. However, challenge arises due to distinct characteristics of energy sources used for different goals. How to select optimal energy sources and plan their capacity for constructing datacenters to meet cost, emission and service availability requirement remains to be fully explored. This work provides a holistic solution to address this problem. We present GreenPlanning, a framework to strike a judicious balance among multiple energy sources, grid power and energy storage devices for a datacenter in terms of the above three goals. GreenPlanning investigates different features and operations of a wide spectrum of green and brown energy sources available to datacenters. The framework minimizes the lifetime total cost including both capital and operational cost for a datacenter. We conduct extensive simulations to evaluate GreenPlanning with real-life computational workload and meteorological data traces. Results demonstrate that GreenPlanning can reduce the lifetime total cost and emission by more than 50% compared to traditional configurations, while still satisfying service availability requirement.
Original language | English (US) |
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Title of host publication | 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems, ICCPS 2016 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509017720 |
DOIs | |
State | Published - May 25 2016 |
Externally published | Yes |
Event | 7th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2016 - Vienna, Austria Duration: Apr 11 2016 → Apr 14 2016 |
Other
Other | 7th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2016 |
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Country | Austria |
City | Vienna |
Period | 4/11/16 → 4/14/16 |
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Control and Systems Engineering
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications