NSERC Strategic Grant
“Middleware Framework and Programming Infrastructure for IoT Services”
K. Kontogiannis (PI)
Dept. of Computer Science
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 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.
To date, research in IoT infrastructures is focusing mostly on connectivity and data transfer issues between IoT devices (mostly sensors for the time being) with back-end cloud-hosted application logic. However, the next major challenge the IoT community will face in the years to come, and towards what is referred to as the Universal IoT era, is to devise appropriate modeling and runtime infrastructure support so that autonomous machine-to-machine communication and collaborative processing can be achieved. In this project, we investigate novel requirements models to specify systems that interact heavily with the physical world, propose new programming models and abstractions so that the implementation of such systems can be better facilitated, design novel middleware platforms that allow for dynamic management and optimal provision of services and resources for the system to maintain its QoS requirements as the operating environment changes, and finally propose security design patterns in order to safeguard large IoT systems.
The project provides technological competitiveness built in Canada, generates R&D activity between industry and academia, and helps attracting and retain talented HQPs.