Research on QoS Optimization Method of Cloud Service Based on Utility Game Between Users and Service Providers in the Cloud Market
Natural Science Foundation of China under Grant NO. 61662054, 61262082, 61662051 and 61462066, Natural Science Foundation of Inner Mongolia under Grand NO.2012JQ03, 2015MS0608 and 2015MS0601, Research Program of science and technology at Universities of Inner Mongolia Autonomous Region Grant NO. NJZY008 and Inner Mongolia Science and technology innovation team of Cloud Computing and Software Engineering.
IEEE International Conference on Services Computing (SCC)
Cloud computing brings a rapid way for enterprises to launch a new software, which needs lower cost compared with self-purchased infrastructure. More and more enterprises compact their business software as services into cloud platform to the users. In service auction, the service provider aims to make more profits from the service it provides, but the service consumer hopes to select a good quality of service at a low price, which make the relationship of them become one kind of game. In this paper, the game between service providers and service consumers is analyzed. The utility functions of consumer and service provider are respectively established. Then a QoS optimization algorithm based on utility game is designed to solve an optimal QoS strategies to achieve a tradeoff between consumer satisfaction and provider profit. Finally the simulation experiments are implemented by using Matlab platform. The experimental results show that the algorithm can effectively optimize the QoS from two aspects of consumer preference and service cost, which can bring the largest improvement of user satisfaction for service providers with the lowest cost. So it helps to realize a win-win situation between service providers and consumers.
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Wang, Y., Zhou, J., Liu, J., Xu, G., & Song, X. (2017, June). Research on QoS optimization method of cloud service based on utility game between users and service providers in the cloud market. In Services Computing (SCC), 2017 IEEE International Conference on (pp. 297-304). IEEE.