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Thingsonomy: Tackling Variety in Internet of Things Events

Publication Type: 
Refereed Original Article
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. Application developers and users need to be abstracted from IoT infrastructure via scalable middleware to assure the rapid adoption of IoT applications. 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. In this paper we describe an approach based on loosely coupled producers and consumers enabled with approximate semantic matching of events. We emphasize a practitioner perspective to IoT architectures for building software that can tackle heterogeneity of IoT events.
Digital Object Identifer (DOI): 
10.na
ISSN: 
1089-7801
Publication Status: 
In Press
Date Accepted for Publication: 
Tuesday, 23 December, 2014
Publication Date: 
01/04/2015
Journal: 
IEEE Internet Computing
Volume: 
19
Issue: 
2
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No