Jeong hoon Jo, HwaMin Lee, Dae won Lee, Journal of Internet Computing and Services, Vol. 19, No. 2, pp. 17-26, Apr. 2018
10.7472/jksii.2018.19.2.17, Full Text:
Keywords: Internet of thing(IoT), IoT service classification, clustering, K-means algorithm

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.

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