Cloud Environment Task Scheduling Reseach Based On Service Cost

Cloud computing is the product of the information age technology revolution, and it is also the emerging business models under the information age. Because of the cloud computing in based on the Internet, so the resource type is mostly in the form of heterogeneous, the state of the resources is often in a changing; The general user scale of the cloud computing system is very large, there are many types of the user resources demand, the application of task scheduling request also each are not identical, the requests of application of the task scheduling is not the same, the corresponding Service Quality (Quality of Service, QoS) is varied, all these factors make task scheduling based on cloud computing requirements become very complex. In order to solve this problem, this paper will from the perspective of the execution efficiency of the cloud computing task scheduling policy, the service revenue of the cloud service providers and the task scheduling QoS target constraint of the computing users to in-depth research task scheduling strategy of cloud computing.According to the commercial nature of cloud computing services, service providers need to ensure adequate service revenue, the project from the perspective of service provider service revenue, put forward a kind of cloud computing task scheduling strategy based on service cost. In this paper, the task scheduling strategy based on features of cloud computing services business, which meet the large user application requests for different QoS target constraint, and the optimization computational overhead in the cloud system and service income as a design goal, on the basis of the requirement, this paper proposes a cloud computing task scheduling strategy based on service cost.To further improve the efficiency of the execution of task scheduling, and considering of the cost of the service, this paper proposes a particle swarm optimization algorithm based on service cost. This algorithm scheduling goal is application task scheduling budget and the application of computing resources, also considering the cost and the corresponding service to cloud computing resources. At the same time to enhance the overall efficiency of the scheduling results.The simulation experiment of the proposed scheduling strategy is carried out by using the simulation tool CloudSim. Simulation results prove that the design method, the completion time exceeds the set as bottom line responsibility and task scale, the task completion time and unit service revenue and cost on compared with the traditional Min Min algorithm and the improved QoS Min Min heuristic method, this method is superior.