Modeling and algorithms for IoT service characterization and recommendation

Speaker : Ludovic Noirie
Nokia Bell Labs, LINCS
Date: 14/12/2016
Time: 2:00 pm - 3:00 pm
Location: LINCS Meeting Room 40


Connected devices, as key constituent elements of the Internet of Things (IoT), are flooding our real world environment. This digital wave paves the way for a major technological breakthrough called to deeply change our daily lives. Nevertheless, some strong issues remain to be addressed. The most dominant one relates to our ability to leverage the whole IoT service space and, more specifically, to our ability to compose IoT services from multiple connected devices by cleverly selecting them with the required software functions, whatever our technical skills. In such a challenging context, we first propose a rich and flexible abstraction framework relying on Attributed Typed Graphs, which enables to represent how known IoT services are composed from different perspectives. Then, capitalizing on this modeling tool and focusing on the way IoT services interact with the physical environment, lightweight service signatures are computed by using a physical-interfaced-based algorithm in order to characterize IoT services. Finally, we discuss how leveraging the computed signatures can allow for autonomously recommending IoT services to end-users.