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VtVsItRwMsJlvLg14SPCCNN

V. Turchenko, V. Shultz, I. Turchenko, R.M. Wallace, M. Sheikhalishahi, J.L. Vazquez-Poletti, L. Grandinetti. Spot Price Prediction for Cloud Computing using Neural Networks. International Journal of Computing, 12(4):348-359, 2013.

Abstract

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

Keywords

[ Tin2012-31518 ] [ Cloud ]

Contact

Jose Luis Vazquez-Poletti

BibTex Reference

@article{VtVsItRwMsJlvLg14SPCCNN,
   Author = {Turchenko, V. and Shultz, V. and Turchenko, I. and Wallace, R.M. and Sheikhalishahi, M. and Vazquez-Poletti, J.L. and Grandinetti, L.},
   Title = {Spot Price Prediction for Cloud Computing using Neural Networks},
   Journal = {International Journal of Computing},
   Volume = {12},
   Number = {4},
   Pages = {348--359},
   Year = {2013}
}

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