QueTy: A Cloud service collaboration framework based on time marginal utility

In the dynamic environment of the Internet, cloud services present the characteristics of heterogeneous cores, large data and dynamic changes. Using the multi agent system (MAS) with independent decision-making ability to solve the allocation and management of cloud services has gradually become a hot research topic in recent years. While most of the proposed categories did not consider the time factor acted on the overall utility fully. In order to tracking the variation trend of the utility affected by time factor and to optimize the cloud services collaborative strategy further, this paper proposes a collaborative framework named QueTy based on the SaaS layer of the Cloud Service. The framework introduces time marginal utility for broker, provider and executor of cloud services, which lays the foundation for communication attenuation algorithm and selective broadcast algorithms. It is not only to achieve controlling service process, but also further to weigh the overall utility and communication loss.