Policy-based management of large-scale IoT applications

基于策略的大规模物联网应用管理

• 批准号: 517997-2017
• 负责人: LeonGarcia, Alberto
• 金额: $ 5.2万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=696469
• 关键词: Policy; based; management; large; scale

Communications networks are being transformed in a trend where software plays a central role in the design, operations, and management of the network to deliver a multiplicity of new services and applications. The scale, diversity, and dynamicity of emerging applications call for a management system that is effective in delivering applications while dynamically adjusting to changes in demand and requirements. Policy-based management has the potential to provide the management in this new network environment. This research project addresses key research challenges to achieve this potential for policy-based management by developing dynamic policy definition and conflict detection and resolution, and by leveraging self-managing and machine learning technologies. The research will generate new designs for PBM that meet the requirements of service providers, such as our partner TELUS, but also meet the requirements of Internet of Things and smart city applications, which represent two areas of massive commercial opportunity. By conducting this research in Canada we will generate knowledge and prepare graduates that will benefit our partner TELUS in their future operations, as well as Canada in terms of IoT commercialization and deployment of smart city applications.

通信网络正在以软件在网络的设计，操作和管理中发挥核心作用以提供多种新服务和应用程序的趋势。新兴应用程序的规模，多样性和动态性要求有效地提供应用程序的管理系统，同时动态适应需求和需求的变化。基于政策的管理有可能在这个新的网络环境中提供管理。该研究项目通过开发动态的政策定义和冲突检测和解决方案以及利用自我管理和机器学习技术来解决基于政策管理的潜力的关键研究挑战。 这项研究将为PBM生成新的设计，以满足我们的合作伙伴Telus等服务提供商的要求，但也满足物联网和智能城市应用程序的要求，这些要求代表了大量商业机会的两个领域。通过在加拿大进行这项研究，我们将建立知识并准备毕业生，以使我们的合作伙伴在未来的运营以及加拿大在物联网商业化和智能城市应用程序的部署方面受益。