Research Center for Information Technology Innovation, Academia Sinica, Taipei 115, Taiwan.
Department of Information Management, National Taiwan University, Taipei 10617, Taiwan.
Sensors (Basel). 2021 Mar 8;21(5):1882. doi: 10.3390/s21051882.
A combined edge and core cloud computing environment is a novel solution in 5G network slices. The clients' high availability requirement is a challenge because it limits the possible admission control in front of the edge cloud. This work proposes an orchestrator with a mathematical programming model in a global viewpoint to solve resource management problems and satisfying the clients' high availability requirements. The proposed Lagrangian relaxation-based approach is adopted to solve the problems at a near-optimal level for increasing the system revenue. A promising and straightforward resource management approach and several experimental cases are used to evaluate the efficiency and effectiveness. Preliminary results are presented as performance evaluations to verify the proposed approach's suitability for edge and core cloud computing environments. The proposed orchestrator significantly enables the network slicing services and efficiently enhances the clients' satisfaction of high availability.
一种组合的边缘和核心云计算环境是 5G 网络切片中的一种新颖解决方案。由于限制了边缘云前端的可能准入控制，客户的高可用性要求是一个挑战。这项工作提出了一种在全局视角下使用数学规划模型的编排器来解决资源管理问题并满足客户的高可用性要求。所提出的基于拉格朗日松弛的方法被采用以接近最优的水平来解决问题，从而提高系统的收益。采用有前途且直接的资源管理方法和多个实验案例来评估效率和效果。初步结果被提出作为性能评估，以验证所提出方法在边缘和核心云计算环境中的适用性。所提出的编排器显著地支持了网络切片服务，并有效地提高了客户对高可用性的满意度。
