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http://dx.doi.org/10.7472/jksii.2018.19.2.17

Development of IoT Service Classification Method based on Service Operation Characteristic  

Jo, Jeong hoon (Dept. of Computer Engineering, Seokyeong Univ.)
Lee, HwaMin (Dept. of Computer Software Engineering, Soonchunhyang Univ.)
Lee, Dae won (Dept. of Computer Engineering, Seokyeong Univ.)
Publication Information
Journal of Internet Computing and Services / v.19, no.2, 2018 , pp. 17-26 More about this Journal
Abstract
Recently, through the emergence and convergence of Internet services, the unified Internet of thing(IoT) service platform have been researched. Currently, the IoT service is constructed as an independent system according to the purpose of the service provider, so information exchange and module reuse are impossible among similar services. In this paper, we propose a operation based service classification algorithm for various services in order to provide an environment of unfied Internet platform. In implementation, we classify and cluster more than 100 commercial IoT services. Based on this, we evaluated the performance of the proposed algorithm compared with the K-means algorithm. In order to prevent a single clustering due to the lack of sample groups, we re-cluster them using K-means algorithm. In future study, we will expand existing service sample groups and use the currently implemented classification system on Apache Spark for faster and more massive data processing.
Keywords
Internet of thing(IoT); IoT service classification; clustering; K-means algorithm;
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