Spot Price prediction for Cloud Computing using Neural Networks

The International Journal of Computing has made available our paper entitled “Spot Price prediction for Cloud Computing using Neural Networks”. This work is the result of a collaboration with the research groups led by Prof. Lucio Grandinetti (University of Calabria, Italy) and Associate Prof. Volodymyr O. Turchenko (Ternopil National Economic Universit, Ukraine).

Paper-CIST

Advances in service-oriented architectures, virtualization, high-speed networks, and cloud computing has resulted in attractive pay-as-you-go services. Job scheduling on such systems results in commodity bidding for computing time. Amazon institutionalizes this bidding for its Elastic Cloud Computing (EC2) environment. Similar bidding methods exist for other cloud-computing vendors as well as multi–cloud and cluster computing brokers such as SpotCloud. Commodity bidding for computing has resulted in complex spot price models that have ad-hoc strategies to provide demand for excess capacity. In this paper we will discuss vendors who provide spot pricing and bidding and present the predictive models for future short-term and middle-term spot price prediction based on neural networks giving users a high confidence on future prices aiding bidding on commodity computing.

 

J.L. Vázquez-Poletti

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