Cloud computing workflow framework with resource scheduling mechanism

In order to improve the resource utilization and the system performance of cloud computing system, consider the user's QoS demand constraints, integrate the cloud computing and workflow, research scheduling mechanism in the cloud computing workflow system. Firstly, the workflow framework and resource model are proposed based on queue theory. Then considering the QoS requirements of time and cost constraints, an MGA (Improved Genetic Algorithm) algorithm is proposed to optimize system efficiency in resource scheduling stage. Experimental simulation results show that MGA comparing with FCFS (First Come First Service) algorithm and GA (Genetic Algorithm) meets users' QoS needs and the efficiency of the task.