Title :
Estimating optimal cost of allocating virtualized resources with dynamic demand
Author :
Qian, Haiyang ; Medhi, Deep
Author_Institution :
Univ. of Missouri-Kansas City, Kansas City, MO, USA
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.
Keywords :
estimation theory; optimisation; resource allocation; allocating virtualized resources; dynamic demand; optimal cost estimation; optimization problem; pay-as-you-go model; virtulized resources; Dynamic scheduling; Indexes; Optimization; Power demand; Servers; Time frequency analysis; Turning;
Conference_Titel :
Teletraffic Congress (ITC), 2011 23rd International
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-1187-9
Electronic_ISBN :
978-0-9836283-0-9
