QoS-aware Controller and Hypervisor Placement in vSDN-enabled 5G Networks for Time-critical Applications
QoS-aware Controller and Hypervisor Placement in vSDN-enabled 5G Networks for Time-critical Applications
复制标题
在支持 vSDN 的 5G 网络中为时间关键型应用部署 QoS 感知控制器和管理程序
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
R. Datta
中科院分区：
文献类型：
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作者：
Deborsi Basu;Abhishek Jain;Uttam Ghosh;R. Datta
物联网设备的大规模增长和数字化的需求强烈推动着未来无线通信技术的发展。最终用户总是需要各种网络服务，包括时间关键型和任务关键型服务。未来5G和6G网络的网络服务质量（QoNS）旨在以最佳方式满足所有可能类型的灵活用户需求。电信。服务提供商 (TSP) 正在严格寻找合适的网络架构来帮助他们实现此类用户友好的系统。 vSDN（虚拟化软件定义网络架构）是实现此类功能的关键技术推动者。在最近一切都基于物联网的范式转变中，服务可用性和系统稳定性是两个主要问题。为了保持网络服务的高质量指数，必须编排和部署能够提供额外和升级的网络服务的网络基础设施。牢记这些基本问题，在这项工作中，我们提出了一种基于实际网络拓扑的控制器和虚拟机管理程序的新颖的多实例部署策略。在定义工作时，我们首要关注的目标是提高 ULL（超低延迟）环境中的服务可用性。因此，我们开发了多目标混合整数线性规划 (MILP) 问题，用于在网络拓扑上优化放置虚拟机管理程序和控制器，以最小化 H 平面服务协议以及网络功能需求的传播延迟。分析结果后，可以说我们的方法对提高网络参数的 QoS 具有显着的影响。根据不同的应用领域，所提出的模型可以应用于与无人机辅助网络相关的类似时间关键的重新定位问题。
The massive growth of IoT devices and the need for digitization drive future wireless communication technologies intensively. The end-users are always demanding all kinds of network services including the time-critical and mission-critical ones. The Quality of Network Services (QoNS) of the future 5G and 6G networks are aiming to address all possible types of flexible user demands optimally. Telecom. Service Providers (TSPs) are rigorously looking for suitable network architectures that can assist them to realize such user-friendly systems. vSDN or virtualized Software Defined Network Architecture is the key technology enabler that makes such functionalities possible. In the recent paradigm shift where everything is being based on IoT, service availability and system stability are two major concerns. For keeping the quality index of the network services high, it is essential to orchestrate and deploy the network infrastructures that will provide additional and upgraded network services. Keeping these fundamental issues in mind, in this work, we have proposed a novel multi-instance deployment strategy for Controllers and Hypervisors over an actual network topology. While defining the work, our prime concern targets improving service availability within the ULL (Ultra-Low Latency) environment. Thus, we have developed a Multi-Objective Mixed Integer Linear Programming (MILP) problem for optimally placing the hypervisors and controllers over the network topology to minimize the H-plane service agreements along with propagation latency of network function demands. After analyzing the results, it can be claimed that our approach has a significant impact in improving the QoS of network parameters. The proposed model can be applied in similar time-critical relocation problems associated with UAV-assisted networks depending upon various application domains.