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Conference Paper: MultiGreen: Cost-Minimizing Multi-source Datacenter Power Supply with Online Control
Title | MultiGreen: Cost-Minimizing Multi-source Datacenter Power Supply with Online Control |
---|---|
Authors | |
Issue Date | 2013 |
Publisher | The Association for Computing Machinery (ACM). |
Citation | The 4th International Conference on Future Energy Systems (ACM e-Energy), Berkeley, California, USA, 21-24 May 2013. In the Proceedings of the ACM e-Energy, 2013, p. 149-159 How to Cite? |
Abstract | Faced by soaring power cost, large footprint of carbon emis-
sion and unpredictable power outage, more and more mod-
ern Cloud Service Providers (CSPs) begin to mitigate these
challenges by equipping their Datacenter Power Supply Sys-
tem (DPSS) with multiple sources: (1) smart grid with time-
varying electricity prices, (2) uninterrupted power supply
(UPS) of finite capacity, and (3) intermittent green or re-
newable energy. It remains a significant challenge how to
operate among multiple power supply sources in a comple-
mentary manner, to deliver reliable energy to datacenter
users over time, while minimizing a CSP’s operational cost
over the long run. This paper proposes an efficient, online
control algorithm for DPSS, called MultiGreen. MultiGreen
is based on an innovative two-timescale Lyapunov optimiza-
tion technique. Without requiring a priori knowledge of
system statistics, MultiGreen allows CSPs to make online
decisions on purchasing grid energy at two time scales (in the
long-term market and in the real-time market), leveraging
renewable energy, and opportunistically charging and dis-
charging UPS, in order to fully leverage the available green
energy and low electricity prices at times for minimum op-
erational cost. Our detailed analysis and trace-driven sim-
ulations based on one-month real-world data have demon-
strated the optimality (in terms of the tradeoff between min-
imization of DPSS operational cost and satisfaction of data-
center availability) and stability (performance guarantee in
cases of fluctuating energy demand and supply) of Multi-
Green. |
Description | Session 4: Data Center Energy Management Fulltext of the conference paper in: http://conferences.sigcomm.org/eenergy/2013/papers/p13.pdf |
Persistent Identifier | http://hdl.handle.net/10722/186482 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Deng, W | en_US |
dc.contributor.author | Liu, F | en_US |
dc.contributor.author | Jin, H | en_US |
dc.contributor.author | Wu, C | en_US |
dc.contributor.author | Liu, X | en_US |
dc.date.accessioned | 2013-08-20T12:11:09Z | - |
dc.date.available | 2013-08-20T12:11:09Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | The 4th International Conference on Future Energy Systems (ACM e-Energy), Berkeley, California, USA, 21-24 May 2013. In the Proceedings of the ACM e-Energy, 2013, p. 149-159 | en_US |
dc.identifier.isbn | 9781450320528 | - |
dc.identifier.uri | http://hdl.handle.net/10722/186482 | - |
dc.description | Session 4: Data Center Energy Management | - |
dc.description | Fulltext of the conference paper in: http://conferences.sigcomm.org/eenergy/2013/papers/p13.pdf | - |
dc.description.abstract | Faced by soaring power cost, large footprint of carbon emis- sion and unpredictable power outage, more and more mod- ern Cloud Service Providers (CSPs) begin to mitigate these challenges by equipping their Datacenter Power Supply Sys- tem (DPSS) with multiple sources: (1) smart grid with time- varying electricity prices, (2) uninterrupted power supply (UPS) of finite capacity, and (3) intermittent green or re- newable energy. It remains a significant challenge how to operate among multiple power supply sources in a comple- mentary manner, to deliver reliable energy to datacenter users over time, while minimizing a CSP’s operational cost over the long run. This paper proposes an efficient, online control algorithm for DPSS, called MultiGreen. MultiGreen is based on an innovative two-timescale Lyapunov optimiza- tion technique. Without requiring a priori knowledge of system statistics, MultiGreen allows CSPs to make online decisions on purchasing grid energy at two time scales (in the long-term market and in the real-time market), leveraging renewable energy, and opportunistically charging and dis- charging UPS, in order to fully leverage the available green energy and low electricity prices at times for minimum op- erational cost. Our detailed analysis and trace-driven sim- ulations based on one-month real-world data have demon- strated the optimality (in terms of the tradeoff between min- imization of DPSS operational cost and satisfaction of data- center availability) and stability (performance guarantee in cases of fluctuating energy demand and supply) of Multi- Green. | - |
dc.language | eng | en_US |
dc.publisher | The Association for Computing Machinery (ACM). | - |
dc.relation.ispartof | International Conference on Future Energy Systems | en_US |
dc.title | MultiGreen: Cost-Minimizing Multi-source Datacenter Power Supply with Online Control | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Wu, C: cwu@cs.hku.hk | en_US |
dc.identifier.authority | Wu, C=rp01397 | en_US |
dc.identifier.hkuros | 217646 | en_US |
dc.identifier.spage | 149 | - |
dc.identifier.epage | 159 | - |
dc.publisher.place | United States | - |