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Issue title: Special Section: Recent Advances in Machine Learning and Soft Computing
Guest editors: Srikanta Patnaik
Article type: Research Article
Authors: Sun, Yan | Lin, Fuhong; * | Zhang, Nan
Affiliations: School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, P.R. China
Correspondence: [*] Corresponding author. Fuhong Lin, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, P.R. China. E-mail: [email protected].
Abstract: With the development of cloud computing technology, a heavy workload and the considerable amount of energy consumed create significant pressure on the cloud service providers. However, in the open sharing mobile Internet, many devices are idle in the network, and a large amount of resource is wasted. This study proposes a new model based on the idea of crowdfunding, which can be a supplement to the traditional resource supply mode. With this model, users can contribute their spare resource to cloud service providers to perform cloud tasks and receive preferential pricing when they require resource. A reward and punishment mechanism is designed based on the repeated game to encourage users to contribute their spare resource and to monitor the cloud service provider to ensure that supporters can receive a preferential price in return. MATLAB simulation results show that the new model reduces the overall energy consumption, and the incentive mechanism is available to motivate supporters to actively perform cloud tasks.
Keywords: Resource contribution, resource pricing, crowdfunding, reward and punishment mechanism, repeated game
DOI: 10.3233/JIFS-169569
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 75-86, 2018
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