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Contributions to Proceedings:

S. Qanbari, F. Li, S. Dustdar, T. Dai:
"An Economic Model for Utilizing Cloud Computing Resources via Pricing Elasticity of Demand and Supply";
in: "Cloud Computing and Services Sciences: International Conference, CLOSER 2014, Revised Selected Papers", Communications in Computer and Information Science 512; M. Helfert, F. Desprez, D. Ferguson, F. Leymann, V. Munoz (ed.); Springer, Cham, 2015, ISBN: 978-3-319-25413-5, 47 - 62.



English abstract:
In 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.

Keywords:
Cloud price elasticity, Asset pricing, Financial options, Cloud federation, Cloud computing


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/978-3-319-25414-2_4



Related Projects:
Project Head Schahram Dustdar:
Cloud computing research lab


Created from the Publication Database of the Vienna University of Technology.