Policy-based management of large-scale IoT 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的趋势进行转变。新兴应用程序的规模、多样性和动态性要求管理系统能够有效地交付应用程序，同时根据需求和要求的变化进行动态调整。基于策略的管理具有在这种新的网络环境中提供管理的潜力。该研究项目解决了关键的研究挑战，通过开发动态策略定义和冲突检测和解决，并利用自我管理和机器学习技术，实现这种基于策略的管理潜力。 该研究将为PBM产生新的设计，满足服务提供商的要求，如我们的合作伙伴TELUS，但也满足物联网和智慧城市应用的要求，这代表了两个巨大的商业机会领域。通过在加拿大进行这项研究，我们将产生知识，并准备毕业生，这将有利于我们的合作伙伴TELUS在其未来的运营，以及加拿大在物联网商业化和智能城市应用的部署方面。

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.