DocumentCode :
1973463
Title :
IoT Mashup as a Service: Cloud-Based Mashup Service for the Internet of Things
Author :
Janggwan Im ; Seonghoon Kim ; Daeyoung Kim
Author_Institution :
Dept. of Comput. Sci., KAIST, Daejeon, South Korea
fYear :
2013
fDate :
June 28 2013-July 3 2013
Firstpage :
462
Lastpage :
469
Abstract :
Mashup, a way to compose a new service from existing services, is expected to play a great role in internet of things (IoT) environment. Many recent researches suggest that mashup in IoT environment is possible with existing web mashup technology if each thing exposes its functionalities as a web service. However, this approach may have limitations in dealing with many heterogeneous devices and computation scalability in the presence of large number of things involved. In this paper, we propose a cloud-based IoT mashup service model, called IoT Mashup as a Service (IoTMaaS), to overcome heterogeneity of devices by following the model driven architecture principles and computational scalability based on cloud computing paradigm. We also design a cloud platform on which IoTMaaS be executed in harmony with stakeholders such as end users, device manufacturers, and cloud computing providers. We proved the concept of the architecture by implementing a prototype platform with an vacant room detection application.
Keywords :
Internet of Things; Web services; cloud computing; software architecture; Internet-of-things environment; IoT mashup-as-a-service; Web mashup technology; Web service; cloud computing paradigm; cloud-based IoT mashup service model; computation scalability; heterogeneous devices; model driven architecture principles; vacant room detection application; Adaptation models; Computational modeling; Computer architecture; Mashups; Unified modeling language; cloud computing; internet of things; model-driven architecture; service modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing (SCC), 2013 IEEE International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5026-8
Type :
conf
DOI :
10.1109/SCC.2013.68
Filename :
6649729
Link To Document :
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