In recent years, cloud computing has developed rapidly under the vigorous promotion of industry and academia. With the expansion of cloud computing, users' special needs for cloud resources have gradually improved. As a business model, cloud computing must pay more attention to user demands for services and provide users with high-quality services. As one of the key technologies in cloud computing, task scheduling is mainly responsible for assigning user tasks to the appropriate resources. However, the existing scheduling algorithms do not take full account of users' different needs. In this paper, we consider multidimensional QoS requirements, and introduce Berger model to judge the fairness of the resource allocation results. We also improve the Particle Swarm Optimization(PSO) algorithm by adjusting its parameters dynamically and making the position coding discrete. Then, we propose a task scheduling algorithm based on QoS-DPSO. The simulation results show that this algorithm can effectively carry out user tasks and reflect more fairness.
['Anqi Xu', 'Yang Yang', 'Zhenqiang Mi', 'Zenggang Xiong']
Task Scheduling Algorithm Based on PSO in Cloud Environment