Hsiao Chiu-Han, Wen Yean-Fu, Lin Frank Yeong-Sung, Chen Yu-Fang, Huang Yennun, Su Yang-Che, Wu Ya-Syuan
Research Center for Information Technology Innovation, Academia Sinica, Taipei 11529, Taiwan.
Graduate Institute of Information Management, National Taipei University, New Taipei City 237303, Taiwan.
Sensors (Basel). 2021 Dec 24;22(1):100. doi: 10.3390/s22010100.
Network slicing is a promising technology that network operators can deploy the services by slices with heterogeneous quality of service (QoS) requirements. However, an orchestrator for network operation with efficient slice resource provisioning algorithms is essential. This work stands on Internet service provider (ISP) to design an orchestrator analyzing the critical influencing factors, namely access control, scheduling, and resource migration, to systematically evolve a sustainable network. The scalability and flexibility of resources are jointly considered. The resource management problem is formulated as a mixed-integer programming (MIP) problem. A solution approach based on Lagrangian relaxation (LR) is proposed for the orchestrator to make decisions to satisfy the high QoS applications. It can investigate the resources required for access control within a cost-efficient resource pool and consider allocating or migrating resources efficiently in each network slice. For high system utilization, the proposed mechanisms are modeled in a pay-as-you-go manner. Furthermore, the experiment results show that the proposed strategies perform the near-optimal system revenue to meet the QoS requirement by making decisions.
网络切片是一种很有前景的技术，网络运营商可以通过具有异构服务质量（QoS）要求的切片来部署服务。然而，拥有高效切片资源分配算法的网络运营编排器至关重要。这项工作站在互联网服务提供商（ISP）的角度，设计一个编排器，分析关键影响因素，即访问控制、调度和资源迁移，以系统地演进一个可持续的网络。同时考虑了资源的可扩展性和灵活性。将资源管理问题表述为一个混合整数规划（MIP）问题。提出了一种基于拉格朗日松弛（LR）的解决方案，用于编排器做出决策以满足高QoS应用程序的需求。它可以在具有成本效益的资源池中研究访问控制所需的资源，并考虑在每个网络切片中有效地分配或迁移资源。为了实现高系统利用率，所提出的机制采用即付即用的方式进行建模。此外，实验结果表明，所提出的策略通过决策实现了接近最优的系统收益，以满足QoS要求。
