File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Competitive Cloud Resource Procurements via Cloud Brokerage

TitleCompetitive Cloud Resource Procurements via Cloud Brokerage
Authors
KeywordsCloud computing
distributed learning
game theory
pricing scheme design
resource allocation
Issue Date2013
PublisherI 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?
AbstractIn 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 Identifierhttp://hdl.handle.net/10722/204072
ISBN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorJin, Xen_US
dc.contributor.authorKwok, YKen_US
dc.contributor.authorYan, Yen_US
dc.date.accessioned2014-09-19T20:04:13Z-
dc.date.available2014-09-19T20:04:13Z-
dc.date.issued2013en_US
dc.identifier.citationThe 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, 6735451en_US
dc.identifier.isbn9780769550954-
dc.identifier.urihttp://hdl.handle.net/10722/204072-
dc.description.abstractIn 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.languageengen_US
dc.publisherI E E E, Computer Society.-
dc.relation.ispartofProceedings of the IEEE International Conference on Cloud Computing Technology and Scienceen_US
dc.subjectCloud computing-
dc.subjectdistributed learning-
dc.subjectgame theory-
dc.subjectpricing scheme design-
dc.subjectresource allocation-
dc.titleCompetitive Cloud Resource Procurements via Cloud Brokerageen_US
dc.typeConference_Paperen_US
dc.identifier.emailKwok, YK: ykwok@eee.hku.hken_US
dc.identifier.authorityKwok, YK=rp00128en_US
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/CloudCom.2013.92-
dc.identifier.scopuseid_2-s2.0-84899738113-
dc.identifier.hkuros238456en_US
dc.identifier.volume2-
dc.identifier.spage355, article no, 6735451-
dc.identifier.epage362, article no, 6735451-
dc.identifier.isiWOS:000352079100065-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats