Estimating optimal cost of allocating virtualized resources with dynamic demand

Authors:
Haiyang Qian;Deep Medhi
Affiliations:
University of Missouri-Kansas City;University of Missouri-Kansas City
Venue:
Proceedings of the 23rd International Teletraffic Congress
Year:
2011

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Abstract

Considering the dynamics of the demand on virtulized resources is indispensable to reduce the operational costs in the context of "pay-as-you-go" model. In this paper, we formulate the optimization problem of minimizing the operational costs with dynamic demand. Furthermore, a new simple index to estimate the optimum is proposed.