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S. Nastic, H. Truong, S. Dustdar:
"Data and Control Points: A Programming Model for Resource-constrained IoT Cloud Edge Devices";
Talk: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017), Banff, Canada (invited); 2017-10-05 - 2017-10-08; in: "IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017), Proceedings", IEEE, (2017), ISBN: 978-1-5386-1646-8; 3535 - 3540.

Recent emergence of IoT Cloud systems has fostered proliferation of various applications mainly driven by urgent need to respond to volume, velocity and variety of data generated by IoT Cloud, but also to enable timely propagation of actuation decisions, crucial for business operation, to the Edge of the infrastructure. In such systems, utilizing currently untapped Edge resources such as sensory gateways, and enabling the IoT devices as first-class execution environments plays a crucial role. However, enabling virtually exclusive access to the underlying devices, e.g., field bus sensors and supporting flexible, application-specific customizations for such devices still remain a challenge. In this paper, we introduce Data- and Control Points - a novel programming model and framework for developing applications specifically tailored for resource-constrained Edge devices. Our framework offers programming constructs that enable applications to define custom configurations for and their own view of the underlying devices. By providing an illusion of an exclusive access to the underlying sensors and actuators, our framework supports execution of multiple applications within a single Edge device.

http://dx.doi.org/10.1109/SMC.2017.8123179

Project Head Schahram Dustdar:
Smart FI