Introduction to Basic Integration of Measurement Devices with Cloud Computing Services

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This paper presents generic concept of using measuring devices of using cloud-based services as a basic application of the Internet of Things (IoT) model. This type of applications will become a base of future of the Web of Things paradigm. A high level of operational infrastructure is outlined and corresponding technologies are illustrated. To demonstrate the data provision, a cloud-based solution is described along with details of its design and operation. A number of technology, including communication protocols, transportation protocols and middleware are depicted as a basic introduction of implementation of future WoT solutions.

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34-41

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September 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. Zhou, The Internet of Thing in the Cloud. A Middleware Perspective, CRC Press, Boca Raton, (2013).

Google Scholar

[2] B. Billet, V. Issarny, Dioptase: a distributed data streaming middleware for the future Web of Things, Journal of Internet Services and Applications, 5, 13(2014).

DOI: 10.1186/s13174-014-0013-1

Google Scholar

[3] Internet-of-Things Architecture IoT-A Project Deliverable D1. 2 – Initial Architectural Reference Model for IoT, Technical Report (2015).

Google Scholar

[4] P. Desai, A. Sheth, P. Anantharam, Semantic Gateway as a Service architecture for IoT Interoperability, CoRR, abs/1410. 4977 (2014), http: /arxiv. org/abs/1410. 4977.

DOI: 10.1109/mobserv.2015.51

Google Scholar

[5] X. Sheng, J. Tang, X. Xiao, G. Xue, Sensing as a service: Challenges, solutions and future directions, IEEE Sensors J., 13, 10, (2013) 3733–3741.

DOI: 10.1109/jsen.2013.2262677

Google Scholar

[6] R. Mizouni, M. El Barachi, Mobile phone sensing as a service: Business model and use cases, in: Next Generation Mobile Apps, Services and Technologies, NGMAST, 2013 Seventh International Conference, (2013) 116–121.

DOI: 10.1109/ngmast.2013.29

Google Scholar

[7] S. Sen, A. Misra, R. Balan, L. Lim, The case for cloud-enabled mobile sensing services, in: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, MCC'12, ACM, New York, NY, USA (2012) 53–58.

DOI: 10.1145/2342509.2342521

Google Scholar

[8] M. Yuriyama, T. Kushida, Sensor-cloud infrastructure—physical sensor management with virtualized sensors on cloud computing, in: Network-Based Information Systems, NBiS, 2010 13th International Conference, (2010) 1–8.

DOI: 10.1109/nbis.2010.32

Google Scholar

[9] Information on https: /internetofthings. ibmcloud. com.

Google Scholar

[10] Information on http: /tools. ietf. org/html/rfc7252.

Google Scholar

[11] Information on http: /www. zurich. ibm. com/sys/energy/middleware. html.

Google Scholar

[12] P. Waher, Learning Internet of Things, Packt Publishing, Birmingham (2015).

Google Scholar

[13] Information on https: /www. adafruit. com/datasheets/DHT22. pdf.

Google Scholar

[14] Information on http: /www. maximintegrated. com/en/app-notes/index. mvp/id/1796.

Google Scholar