Middleware framework and programming infrastructure for IoT services

物联网服务的中间件框架和编程基础设施摘要物联网（IoT）是指大规模互连的设备和称为“事物”或“资源”的软件应用程序的系统。这些“事物”可以被认为是与其环境交互的基本单元，并且能够向其他互连的“事物”或后端软件应用提供服务、数据或控制元件。在这方面，物联网成为实现机器对机器（M2M）通信和实现所谓的网络物理系统（CPS）的主要架构。然而，为了设计、实施、测试、部署和管理大型物联网系统，我们需要复杂但高效的基础设施和平台，以便软件工程师能够以安全、弹性、容错的方式编程和连接设备、应用程序和数据，同时满足高性能和可扩展性目标。这样的基础设施和平台被称为“中间件”，因为从架构上讲，它们位于前端设备和后端应用程序之间。到目前为止，物联网系统的中间件平台解决了物联网开发的各个方面，例如设备连接或安全性。该项目旨在研究新型中间件架构，这些架构支持广泛的设计，部署和管理活动，从如何使用模板和模式互连“事物”的新编程模型，到允许物联网系统在运行时动态重新配置的高效算法，以便不断满足特定的质量和性能要求。这些主题处于当前技术挑战的前沿，这些挑战的解决方案有助于参与开发或使用物联网系统的加拿大行业在全球舞台上获得竞争优势。

Middleware Framework and Programming Infrastructure for IoT ServicesSummary The Internet of Things (IoT) refers to a system of massively interconnected devices, and software applications referred to as "things" or "resources". These "things" can be considered as basic units that interact with their environment and are capable of providing services, data or, control elements to other interconnected "things" or to back-end software applications. In this respect, IoT emerges as the major architecture for achieving Machine to Machine (M2M) communication and realizing the so-called Cyber-Physical systems (CPS). However, in order to design, implement, test, deploy, and manage large IoT systems we require complex, yet efficient, infrastructures and platforms so that software engineers can program and connect devices, applications, and data, in a secure, resilient, fault tolerant way, meeting at the same time high performance and scalability targets. Such infrastructures and platforms are referred to as "middleware" because architecturally they are placed between the front-end devices and the back-end applications. To date, middleware platforms for IoT systems address individual facets of IoT development such as device connectivity, or security. This project aims to investigate novel middleware architectures that support a wide spectrum of design, deployment, and management activities from new programming models on how to interconnect "things" using templates and patterns, to efficient algorithms that allow for the dynamic re-configuration of an IoT system as it operates, so that it constantly meets specific quality and performance requirements. These topics are in the forefront of the current technological challenges, and solutions to these challenges help the Canadian industry, which is involved either on developing or using IoT systems, to obtain a competitive edge on a global stage.