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Research on collaborative adaptive scheduling mechanism of cloud workflow task and virtual resources

Cloud workflow requires task assignment and virtual resource provisioning to work together in a collaborative manner for adaptive scheduling, thus to balance the interests of both supply and demand in the cloud service under the Service Level Agreements. Focusing on collaborative adaptive scheduling of cloud workflow task and virtual resources problem, we introduce fine-grained cloud computing system model and design a novel collaborative adaptive scheduling mechanism based on reinforcement learning and multi-agent society. Our results demonstrate the efficiency of the proposed scheduling scheme.