In recent years, new computing paradigms have been proposed and adopted such as cloud computing. Service is an important aspect in cloud computing. From service provider’s perspective, a major concern is the method to get maximal service profit. The chapter describes a model-based multi-agent for processing user’s service. The optimal service task partition and distribution is given in the model for maximizing service profit. In the model, genetic algorithm and universal generating function technique are proposed for solving the optimization problem. Considering user’s security demand for the service, the model presents a method using service security level to satisfy the needs of user. Illustrative examples are presented.
CITATION STYLE
Yu, S., Chen, H., & Xiang, Y. (2015). Maximal service profit in MAS-Based cloud computing considering service security. In Lecture Notes in Electrical Engineering (Vol. 355, pp. 861–867). Springer Verlag. https://doi.org/10.1007/978-3-319-11104-9_99
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