Data-driven IoT applications design for smart city and smart buildings
Journal
2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
Pages
1-8
Date Issued
2018
Author(s)
Abstract
Applying IoT technologies to cities and buildings can not only provide intelligent services to the users but also better utilize resources. While developing applications for these two domains, there are several challenges. Managability, connectivity, and programmability are three of the major challenges. This paper presents the design and study of programming applications for smart cities and smart buildings. Data-driven programming model is designed to simplify the complexity on programming applications on large scale devices. To reduce the complexity of inter-connecting large numbers of devices, three message exchange models are studied in this paper: cloud-based, NDN-based, and peer-To-peer message exchange models. Cloud-based model is the most intuitive model but is only suitable for time-insensitive applications. The other two models can support time sensitive applications: NDN-based model can support large scale deployment but leads to higher hardware cost; peer-To-peer model can be employed to the applications in the scale of building without heavy hardware cost. Our evaluation results show that cloud-based model performs worse than the other two models when the number of senders/receivers in the order of magnitude. © 2017 IEEE.
Other Subjects
Architectural design; Big data; Embedded software; Embedded systems; Hardware; Peer to peer networks; Smart city; Ubiquitous computing; Distributed systems; Evaluation results; Intelligent Services; Intuitive modeling; Large-scale deployment; Networking; Peer-to-peer models; Programming models; Internet of things
Type
conference paper