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A Reverse Path-Flow Mechanism for Latency Aware Controller Placement in vSDN Enabled 5G Network

机译:VSDN中延迟感知控制器放置的反向路径流量机制启用5G网络

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Long distance communication links may severely affect the cyber-physical systems (CPSs) in 5G (and future 6G) networks and degrade its reliability and resilience by disrupting the quality index of network latency. Further, centralized network architectures have low fault tolerance and are prone to security threats. Virtualized software defined network (vSDN)-enabled 5G networks closely monitor these facts and redefine the existing network topology to find potential locations for deploying controller and hypervisor instances. In this article, we propose an approach of dynamically deploying controller-hypervisor (C-H) pair(s) to provide a variety of network functions like differentiation between control and data signals, various translation functions, etc., with ultra low latency (ULL). The system model deals with real network topology and four well-defined network latency matrices with a mixed integer linear programming model to optimize latency objectives. A reverse path-flow mechanism (RPFM) has been proposed to provide feasible solutions by keeping the network load, and controller capacity under a tolerance limit. We have further minimized the H-plane load by distributing the network resources based on the arrival time of SERVICE_IN requests from the users. Simulation results show that our proposed technique achieves significant reduction in latency and an evolved-ULL (e-ULL) experience, where all real-time user demands are handled efficiently. The proposed approach can also be used for similar critical localization problems like service chain mapping in 5G-NR, baseband unit deployment in 5G C-RAN and firewall deployment in distributed CPS.
机译:长途通信链路可能严重影响5G(和未来6G)网络中的网络物理系统(CPS),并通过中断网络延迟的质量指标来降低其可靠性和弹性。此外,集中式网络架构具有低容错性,并且容易出现安全威胁。虚拟化软件定义的网络(VSDN)-LENABLED 5G网络密切关注这些事实并重新定义现有的网络拓扑以查找部署控制器和管理程序实例的潜在位置。在本文中,我们提出了一种动态部署控制器管理程序(CH)对的方法,以提供各种网络功能,如控制和数据信号之间的差异,各种翻译功能等,具有超低延迟(ULL) 。系统模型处理真正的网络拓扑和四个明确定义的网络延迟矩阵,具有混合整数线性编程模型来优化延迟目标。已经提出了一种反向路径 - 流动机制(RPFM)来提供可行的解决方案,通过保持网络负载和在公差限制下的控制器容量。通过根据用户的到达时间分配网络资源,我们进一步最小化了H平面负载。仿真结果表明,我们所提出的技术实现了延迟和进化 - ULL(E-ULL)经验的显着降低,其中有效地处理所有实时用户需求。所提出的方法还可用于5G-NR中的服务链映射等类似的关键本地化问题,在分布式CP中的5G C-RAN和防火墙部署中的基带单元部署。

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