Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - On Building Smart City IoT Applications
T2 - 2nd International Workshop on Smart Cities - People, Technology and Data, IWSC 2016
AU - Giang, Nam K.
AU - Lea, Rodger
AU - Blackstock, Michael
AU - Leung, Victor C.M.
N1 - Publisher Copyright: © 2016 ACM. ISBN 978-1-4503-4667-2/16/12. . . $15.00.
PY - 2016/12/12
Y1 - 2016/12/12
N2 - In the Internet of Things (IoT), Internet-connected things provide an inux of data and resources that ofier unlimited possibility for applications and services. Smart City IoT systems refer to the things that are distributed over wide physical areas covering a whole city. While the new breed of data and resources looks promising, building applications in such large scale IoT systems is a dificult task due to the distributed and dynamic natures of entities involved, such as sensing, actuating devices, people and computing resources. In this paper, we explore the process of developing Smart City IoT applications from a coordination-based perspective. We show that a distributed coordination model that oversees such a large group of distributed components is necessary in building Smart City IoT applications. In particular, we propose Adaptive Distributed Dataow, a novel Dataow-based programming model that focuses on coordinating city-scale distributed systems that are highly heterogeneous and dynamic.
AB - In the Internet of Things (IoT), Internet-connected things provide an inux of data and resources that ofier unlimited possibility for applications and services. Smart City IoT systems refer to the things that are distributed over wide physical areas covering a whole city. While the new breed of data and resources looks promising, building applications in such large scale IoT systems is a dificult task due to the distributed and dynamic natures of entities involved, such as sensing, actuating devices, people and computing resources. In this paper, we explore the process of developing Smart City IoT applications from a coordination-based perspective. We show that a distributed coordination model that oversees such a large group of distributed components is necessary in building Smart City IoT applications. In particular, we propose Adaptive Distributed Dataow, a novel Dataow-based programming model that focuses on coordinating city-scale distributed systems that are highly heterogeneous and dynamic.
KW - Coordination Models
KW - Distributed Systems
KW - Fog Computing
KW - Internet of Things
KW - Smart City
U2 - 10.1145/3009912.3009919
DO - 10.1145/3009912.3009919
M3 - Conference contribution/Paper
AN - SCOPUS:85009437477
T3 - Proceedings of the 2nd International Workshop on Smart, SmartCities 2016
BT - Proceedings of the 2nd International Workshop on Smart, SmartCities 2016
PB - Association for Computing Machinery, Inc
CY - New York
Y2 - 12 December 2016 through 16 December 2016
ER -