Resource Allocation for Cloud Wireless Access Networks Based on Distributed Task Scheduling Algorithms

In order to effectively improve the performance of distributed platform, its resource scheduling method needs to be studied thoroughly and diligently. In the process of distributed task scheduling, unbalanced load of sub-resources between network nodes often occurs, and this paper applies distributed task scheduling algorithm to the process of allocating resources of cloud wireless access network. By building a data-driven operation and maintenance framework through effective control of the distributed platform, the collected network information data are processed centrally, and the resources are allocated in a balanced manner according to the user’s business requirements in combination with virtualized network functions (VNF). Finally, the experimental simulation results show that the proposed distributed task scheduling algorithm can effectively realize the dynamic allocation of cloud wireless access network resources and also significantly reduce the energy consumption and times of VNF migration. As a result, this paper can effectively reduce the time consumption by 33%.