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- Publisher Website: 10.1109/CloudCom.2013.92
- Scopus: eid_2-s2.0-84899738113
- WOS: WOS:000352079100065
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Conference Paper: Competitive Cloud Resource Procurements via Cloud Brokerage
Title | Competitive Cloud Resource Procurements via Cloud Brokerage |
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Authors | |
Keywords | Cloud computing distributed learning game theory pricing scheme design resource allocation |
Issue Date | 2013 |
Publisher | I E E E, Computer Society. |
Citation | The 5th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2013), Bristo, United Kingdom, 2-5 December 2013. In the Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2013, v. 2, p. 355-362, article no, 6735451 How to Cite? |
Abstract | In current IaaS cloud markets, tenant consumers non-cooperatively compete for cloud resources via demand quantities, and the service quality is offered in a best effort manner. To better exploit tenant demand correlation, cloud brokerage services provide cloud resource multiplexing so as to earn profits by receiving volume discounts from cloud providers. A fundamental but daunting problem facing a tenant consumer is competitive resource procurements via cloud brokerage. In this paper, we investigate this problem via non-cooperative game modeling. In the static game, to maximize the experienced surplus, tenants judiciously select optimal demand responses given pricing strategies of cloud brokers and complete information of the other tenants' demands. We also derive Nash equilibrium of the non-cooperative game for competitive resource procurements. Performance evaluation on Nash equilibrium reveals insightful observations for both theoretical analysis and practical cloud resource procurements scheme design. |
Persistent Identifier | http://hdl.handle.net/10722/204072 |
ISBN | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Jin, X | en_US |
dc.contributor.author | Kwok, YK | en_US |
dc.contributor.author | Yan, Y | en_US |
dc.date.accessioned | 2014-09-19T20:04:13Z | - |
dc.date.available | 2014-09-19T20:04:13Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | The 5th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2013), Bristo, United Kingdom, 2-5 December 2013. In the Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2013, v. 2, p. 355-362, article no, 6735451 | en_US |
dc.identifier.isbn | 9780769550954 | - |
dc.identifier.uri | http://hdl.handle.net/10722/204072 | - |
dc.description.abstract | In current IaaS cloud markets, tenant consumers non-cooperatively compete for cloud resources via demand quantities, and the service quality is offered in a best effort manner. To better exploit tenant demand correlation, cloud brokerage services provide cloud resource multiplexing so as to earn profits by receiving volume discounts from cloud providers. A fundamental but daunting problem facing a tenant consumer is competitive resource procurements via cloud brokerage. In this paper, we investigate this problem via non-cooperative game modeling. In the static game, to maximize the experienced surplus, tenants judiciously select optimal demand responses given pricing strategies of cloud brokers and complete information of the other tenants' demands. We also derive Nash equilibrium of the non-cooperative game for competitive resource procurements. Performance evaluation on Nash equilibrium reveals insightful observations for both theoretical analysis and practical cloud resource procurements scheme design. | - |
dc.language | eng | en_US |
dc.publisher | I E E E, Computer Society. | - |
dc.relation.ispartof | Proceedings of the IEEE International Conference on Cloud Computing Technology and Science | en_US |
dc.subject | Cloud computing | - |
dc.subject | distributed learning | - |
dc.subject | game theory | - |
dc.subject | pricing scheme design | - |
dc.subject | resource allocation | - |
dc.title | Competitive Cloud Resource Procurements via Cloud Brokerage | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Kwok, YK: ykwok@eee.hku.hk | en_US |
dc.identifier.authority | Kwok, YK=rp00128 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/CloudCom.2013.92 | - |
dc.identifier.scopus | eid_2-s2.0-84899738113 | - |
dc.identifier.hkuros | 238456 | en_US |
dc.identifier.volume | 2 | - |
dc.identifier.spage | 355, article no, 6735451 | - |
dc.identifier.epage | 362, article no, 6735451 | - |
dc.identifier.isi | WOS:000352079100065 | - |
dc.publisher.place | United States | - |