DocumentCode
12102
Title
Thingsonomy: Tackling Variety in Internet of Things Events
Author
Hasan, Souleiman ; Curry, Edward
Author_Institution
Nat. Univ. of Ireland, Galway, Ireland
Volume
19
Issue
2
fYear
2015
fDate
Mar.-Apr. 2015
Firstpage
10
Lastpage
18
Abstract
The Internet of Things (IoT) will connect billions of devices to the Internet and create a large-scale dynamic and open environment with high heterogeneity. To assure rapid adoption of IoT applications, application developers and users need to be abstracted from IoT infrastructure via scalable middleware. Event-processing systems have the potential to contribute in filling the gap between the IoT infrastructure and applications layers. Event processing follows a decoupled model of interaction in space, time, and synchronization. However, the dimension of semantic coupling still exists and poses a challenge to scalability in highly semantically heterogeneous and dynamic environments such as the IoT. Here, the authors describe an approach based on loosely coupled producers and consumers enabled with approximate semantic matching of events. They emphasize a practitioner perspective to IoT architectures for building software that can tackle heterogeneity of IoT events.
Keywords
Internet of Things; middleware; Internet of Things; IoT applications; approximate semantic matching; event-processing systems; scalable middleware; semantic coupling; thingsonomy; Approximation methods; Energy consumption; Internet of Things; Large-scale systems; Semantics; Internet of Things; Internet/Web technologies; IoT architecture; distributed applications; event processing; semantic normalization;
fLanguage
English
Journal_Title
Internet Computing, IEEE
Publisher
ieee
ISSN
1089-7801
Type
jour
DOI
10.1109/MIC.2015.26
Filename
7006385
Link To Document