基于多维流量管控的移动-固定云中心协同服务算法OA

To improve the information service capability of the collaborative service system of the mobile edge cloud center and fixed cloud center under specific task scenarios,this paper proposes a heuristic strategy in three dimensions of"trying to save flow","reasonably limiting flow"and"fully using flow"to address the dual dynamic uncertainties of network links and user requests,and constructs a collaborative service algorithm based on multidimensional traffic control,achieving a hierarchical adaptive toughness guarantee for end user service requests.Tests based on a certain information service project demonstrate that the proposed algorithm can achieve a maximum cache data utilization rate of 84%,reduce total traffic requests between mobile-fixed cloud centers by 47%,and have significant effectiveness in improving collaborative service capabilities of mobile-fixed cloud centers and optimizing end user service quality.