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

软件定义网络支持超越 5G 网络切片的智慧城市应用

基本信息

批准号：
570938-2021
负责人：
Fapojuwo, AbrahamOlatunji
金额：
$ 3.64万
依托单位：
University of Calgary
依托单位国家：
加拿大
项目类别：
Alliance Grants
财政年份：
2021
资助国家：
加拿大
起止时间：
2021-01-01 至 2022-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=722581
关键词：
Software defined networking enabled beyond

项目摘要

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.

该项目的总体目标是开发一个超越5G网络切片框架的端到端（E2E），以支持三个智能城市应用程序，即紧急响应，智能建筑和视频监视。网络切片是通过共享物理基础结构部署的E2E逻辑网络。每个网络切片都配置了一组网络资源（即网络，计算，内存和存储资源），以提供具有其服务级别协议的特定服务，以映射到服务性能要求。如何在保持切片隔离的同时将网络资源分配给切片是一个困难的问题。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止带宽，从而导致网络分配效率低下和优化应用程序性能。该项目的另一个目的是提出针对机内和切片间资源分配的新算法，并通过数学和仿真技术评估其性能。最后，我们将执行提议的网络切片框架和切片资源分配算法的概念证明。该研究的预期结果是拟议的E2E超越5G网络切片框架和网络切片资源分配算法。可交付成果是用于创建，部署和精心编排5G网络切片以上的软件，展示了框架在支持三个选定的智能城市应用程序方面的有效性，并证明了拟议的网络切片片段资源分配算法的可实现性能。该项目将提供与智能城市运营相关的成本节省，并将为加拿大电信服务提供商提供竞争优势。该项目将以高需求的技能培训HQP。