Scalable modeling of cloud-based IoT services for smart cities

Amir Taherkordi, Frank Eliassen
2016 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)  
The convergence of Internet of Things (IoT) and the Cloud has significantly facilitated the provision and management of services in large-scale applications such as smart cities. With a huge number of IoT services accessible through clouds, it is very important to model and expose cloud-based IoT services in a scalable manner, promising easy and realtime delivery of smart city services. The existing work in this area does not sufficiently address this design issue due to the adoption of a
more » ... m and flat view to the structure of IoT services and their data in the Cloud. In this paper, we propose a framework for scalable and realtime provisioning of cloud-based IoT services in large-scale applications, such as smart cities. These two features are achieved by structuring the description of IoT services in a hierarchical model and populating them in a tree structure containing references to services and their realtime data. Such a service access structure can be obtained based on logical or contextual scopes of a service. Using this approach, smart city applications can access IoT services and subscribe to their realtime data in an scalable manner at different contextual levels, e.g., from a municipal district to a street.
doi:10.1109/percomw.2016.7457098 dblp:conf/percom/TaherkordiE16 fatcat:7luot2jki5cbhprgikxqy2hexy