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Conference Paper: An emergency demand response mechanism for cloud computing
Title | An emergency demand response mechanism for cloud computing |
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Authors | |
Keywords | Cloud Computing Demand Response Mechanism Design Approximation Algorithms |
Issue Date | 2016 |
Publisher | ACM. |
Citation | The 2016 GreenMetrics Workshop held in conjunction with ACM SIGMETRICS/Performance 2016, Antibes Juan-les-Pins, France, 14 June 2016. In Conference Proceedings, 2016, p. 1-6 How to Cite? |
Abstract | We study emergency demand response (EDR) mechanisms from data centers’ perspective, where a cloud data center participates in a mandatory EDR program while receiving online computing job bids. We target a realistic EDR mechanism where: i) The cloud provider dynamically packs different types of resources on servers into requested VMs and computes job schedules to meet users’ requirements; ii) The power consumption of servers in the cloud is limited by the grid through the EDR program; iii) The operating cost of the cloud is considered in the calculation of social welfare, measured by electricity cost. We propose an online auction for dynamic cloud resource provisioning under the EDR program, which runs in polynomial time, achieves truthfulness and close-to-optimal social welfare for the cloud ecosystem. |
Persistent Identifier | http://hdl.handle.net/10722/229711 |
DC Field | Value | Language |
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dc.contributor.author | Zhou, R | - |
dc.contributor.author | Li, Z | - |
dc.contributor.author | Wu, C | - |
dc.date.accessioned | 2016-08-23T14:12:49Z | - |
dc.date.available | 2016-08-23T14:12:49Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | The 2016 GreenMetrics Workshop held in conjunction with ACM SIGMETRICS/Performance 2016, Antibes Juan-les-Pins, France, 14 June 2016. In Conference Proceedings, 2016, p. 1-6 | - |
dc.identifier.uri | http://hdl.handle.net/10722/229711 | - |
dc.description.abstract | We study emergency demand response (EDR) mechanisms from data centers’ perspective, where a cloud data center participates in a mandatory EDR program while receiving online computing job bids. We target a realistic EDR mechanism where: i) The cloud provider dynamically packs different types of resources on servers into requested VMs and computes job schedules to meet users’ requirements; ii) The power consumption of servers in the cloud is limited by the grid through the EDR program; iii) The operating cost of the cloud is considered in the calculation of social welfare, measured by electricity cost. We propose an online auction for dynamic cloud resource provisioning under the EDR program, which runs in polynomial time, achieves truthfulness and close-to-optimal social welfare for the cloud ecosystem. | - |
dc.language | eng | - |
dc.publisher | ACM. | - |
dc.relation.ispartof | GreenMetrics Workshop in conjuction with ACM SIGMETRICS 2016 Proceedings | - |
dc.subject | Cloud Computing | - |
dc.subject | Demand Response | - |
dc.subject | Mechanism Design | - |
dc.subject | Approximation Algorithms | - |
dc.title | An emergency demand response mechanism for cloud computing | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Wu, C: cwu@cs.hku.hk | - |
dc.identifier.authority | Wu, C=rp01397 | - |
dc.description.nature | postprint | - |
dc.identifier.hkuros | 261735 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 6 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 160908 | - |