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dc.contributor.authorQanbari, Soheilen_US
dc.contributor.authorLi, Feien_US
dc.contributor.authorDustdar, Schahramen_US
dc.contributor.authorDai, Tian-Shyren_US
dc.date.accessioned2017-04-21T06:49:16Z-
dc.date.available2017-04-21T06:49:16Z-
dc.date.issued2015en_US
dc.identifier.isbn978-3-319-25414-2en_US
dc.identifier.isbn978-3-319-25413-5en_US
dc.identifier.issn1865-0929en_US
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-319-25414-2_4en_US
dc.identifier.urihttp://hdl.handle.net/11536/136007-
dc.description.abstractIn this study, we elaborate two economic variables which have direct impact on prospective aspects of trading like Cloud resource allocation over future demands. These variables are Pricing Elasticity of Demand (PEoD) and Pricing Elasticity of Provisioning (PEoP). To leverage the pricing elasticity of upcoming demand and supply, we employ financial option theory as a method to alleviate the risk in resource provisioning over future demands. Our approach finds the optimal option price of the federated resource in the Cloud to come to an equilibrium between PEoD and PEoP. The asset equilibrium price occurs when the supply resource pool matches the aggregate demand indicating an optimal resource utilization. This study proposes a novel Cloud Asset Pricing Tree (CAPT) model that finds the optimal premium price of the Cloud federation options efficiently. The CAPT enables cloud service providers to make proper decisions when to trade options in advance and when to exercise them to achieve more economies of scale. Our empirical evidences suggest that utilizing the CAPT model, exploits the Cloud federation market as an opportunity for more resource utilization and future capacity planning.en_US
dc.language.isoen_USen_US
dc.subjectCloud price elasticityen_US
dc.subjectAsset pricingen_US
dc.subjectFinancial optionsen_US
dc.subjectCloud federationen_US
dc.subjectCloud computingen_US
dc.titleAn Economic Model for Utilizing Cloud Computing Resources via Pricing Elasticity of Demand and Supplyen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1007/978-3-319-25414-2_4en_US
dc.identifier.journalCLOUD COMPUTING AND SERVICES SCIENCES, CLOSER 2014en_US
dc.citation.volume512en_US
dc.citation.spage47en_US
dc.citation.epage62en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000370813200004en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper