Software defined networking-enabled beyond 5G network slicing for smart cities applications

该项目的总体目标是开发一个超越5G的端到端（E2E）网络切片框架，以支持三个智慧城市应用，即应急响应、智能建筑和视频监控。网络切片是部署在共享物理基础设施上的E2E逻辑网络。每个网络切片配置有一组网络资源（即，网络、计算、存储器和存储资源）来提供特定服务，其服务水平协议映射到服务性能要求。如何在保持切片隔离的同时动态地将网络资源分配给切片是一个难题。此外，切片分配也是一个具有挑战性的问题，因为共享资源可能会阻塞带宽，导致低效的网络分配和次优的应用性能。本项目的另一个目标是提出新的和有效的算法，用于片内和片间的资源分配，并通过数学和仿真技术评估其性能。最后，我们将执行所提出的网络切片框架和切片资源分配算法的概念实现的证明。研究的预期成果是提出E2E超越5G网络切片框架和网络切片资源分配算法。交付成果包括用于创建、部署和协调5G网络切片的软件，演示框架在支持三个选定的智慧城市应用方面的有效性，以及演示拟议的网络切片资源分配算法的可实现性能。该项目将节省与智慧城市运营相关的成本，并为加拿大电信服务提供商提供竞争优势。该项目将为HQP提供高需求技能培训。

The overall goal of this project is to develop an end-to-end (E2E) beyond 5G network slicing framework for support of three smart cities applications, namely, emergency response, smart building, and video surveillance. A network slice is an E2E logical network deployed over a shared physical infrastructure. Each network slice is configured with a set of network resources (i.e., networking, computing, memory and storage resources) needed to deliver a specific service with its service level agreement which maps to the service performance requirements. How to dynamically allocate network resources to a slice while maintaining slice isolation is a difficult problem. Further, slice allocation is also a challenging problem because shared resources could block bandwidth leading to inefficient network allocation and sub-optimal application performance. Another objective of this project is to propose new and efficient algorithms for intra-slice and inter-slice resource allocation, and evaluate their performance through mathematical and simulation techniques. Finally, we shall perform proof of concept implementation of the proposed network slicing framework and slice resource allocation algorithms. The anticipated outcomes of the research are the proposed E2E beyond 5G network slicing framework and network slice resource allocation algorithms. The deliverables are a software for creating, deploying, and orchestrating beyond 5G network slices, a demonstration of framework's effectiveness in supporting the three selected smart cities applications, and a demonstration of the achievable performance of the proposed network slice resource allocation algorithms. The project will provide cost savings related to smart city operation and will offer competitive advantage to Canadian telecom service providers. The project will train HQP with highly in-demand skills.