• Volodymyr Turchenko
  • Vladyslav Shults
  • Iryna Turchenko
  • Richard M. Wallace
  • Mehdi Sheikhalishahi
  • Jose Luis Vazquez-Poletti
  • Lucio Grandinetti



Spot Market, Cloud Computing, Resource Management, Neural Networks, Prediction.


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.


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How to Cite

Turchenko, V., Shults, V., Turchenko, I., Wallace, R. M., Sheikhalishahi, M., Vazquez-Poletti, J. L., & Grandinetti, L. (2014). SPOT PRICE PREDICTION FOR CLOUD COMPUTINGUSING NEURAL NETWORKS. International Journal of Computing, 12(4), 348-359.