SPOT PRICE PREDICTION FOR CLOUD COMPUTINGUSING NEURAL NETWORKS
Volodymyr Turchenko, Vladyslav Shults, Iryna Turchenko, Richard M. Wallace, Mehdi Sheikhalishahi, José Luis Vázquez‐Poletti, Lucio Grandinetti · International Journal of Computing · 2014
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.