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Performance Analysis of IoT Services Based on Clouds for Context Data Acquisition

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Big Data, Cloud Computing, Data Science & Engineering (BCD 2018)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 786))

Abstract

Recently , Clouds are wildly used for huge data repository and Internet services in various fields. And IoT networks collect a context data and support the monitoring and control services using thing virtualization. We will build the connection between IoT and cloud, it is very useful, and supports intelligent services based on huge context data. This paper presents the comparison analysis of IoT services based on Clouds for huge context acquisition in large scale IoT networks. And, we develop AWS, Azure, and Google cloud based on IoT, and compare the IoT service of AWS, Azure, and Google Cloud by sending sensing data messages from IoT devices. The comparison helps users to choose easily IoT service based on Cloud. Hence, it is necessary to collect the context data easily and extract useful part for information analysis and usage in Cloud based on IoT.

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References

  1. Botta, A., et al.: On the integration of cloud computing and internet of things. In: 2014 International Conference on Future Internet of Things and Cloud (FiCloud). IEEE (2014)

    Google Scholar 

  2. Chenishkian, S.: Building smart services for smart home. In: Proceedings of the IEEE 4th International Workshop on Network Appliances, pp. 215–224 (2002)

    Google Scholar 

  3. Kang, B., et al.: IoT-based monitoring system using tri-level context making model for smart home services. In: 2015 IEEE International Conference on Consumer Electronics (ICCE). IEEE (2015)

    Google Scholar 

  4. Sivaraman, V., et al.: Network-level security and privacy control for smart-home IoT devices. In: 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE (2015)

    Google Scholar 

  5. Zhang, Q., Cheng, L., Boutaba, R.: Cloud computing: state-of-the-art and research challenges. J. Internet Serv. Appl. 1(1), 7–18 (2010)

    Article  Google Scholar 

  6. Zhou, M., et al.: Services in the cloud computing era: a survey. In: 2010 4th International Universal Communication Symposium (IUCS). IEEE (2010)

    Google Scholar 

  7. Liu, C., et al.: External integrity verification for outsourced big data in cloud and IoT: a big picture. Futur. Gener. Comput. Syst. 49, 58–67 (2015)

    Google Scholar 

  8. Soliman, M., et al.: Smart home: integrating internet of things with web services and cloud computing. In: 2013 IEEE 5th International Conference on Cloud Computing Technology and Science (CloudCom), vol. 2. IEEE (2013)

    Google Scholar 

  9. He, W., Gongjun Y., Li Da, X.: Developing vehicular data cloud services in the IoT environment. IEEE Trans. Ind. Inf. 10(2), 1587–1595 (2014)

    Google Scholar 

  10. Li, A., et al.: CloudCmp: comparing public cloud providers. In: Proceedings of the 10th ACM SIGCOMM Conference on Internet Measurement. ACM (2010)

    Google Scholar 

  11. Ray, P.P.: A survey of IoT cloud platforms. Futur. Comput. Inf. J. 1(1–2), 35–46 (2016)

    Article  Google Scholar 

  12. Abdelwahab, S., et al.: Cloud of things for sensing-as-a-service: architecture, algorithms, and use case. IEEE Internet Things J. 3(6), 1099–1112 (2016)

    Google Scholar 

  13. Uehara, M.: A case study on developing cloud of things devices. In: 2015 Ninth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS). IEEE (2015)

    Google Scholar 

  14. Al-Jaroodi, J., et al.: CoTWare: a cloud of things middleware. In: 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE (2017)

    Google Scholar 

  15. Amazon Web Service. aws.amazon.com

  16. Microsoft Azure. azure.microsoft.com

  17. Google Cloud Platform. cloud.google.com

  18. MQTT. mqtt.org

  19. Raspberry Pi. www.raspberrypi.org

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Acknowledgements

This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (2014-1-00743) supervised by the IITP (Institute for Information and communications Technology Promotion), and this This work was supported by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00756, Development of interoperability and management technology of IoT system with heterogeneous ID mechanism). Any correspondence related to this paper should be addressed to DoHyeun Kim; kimdh@jejunu.ac.kr.

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Authors and Affiliations

  1. Department of Computer Engineering, Jeju National University, Jeju City, Republic of Korea

    Songai Xuan & Kim DoHyeun

Authors
  1. Songai Xuan
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  2. Kim DoHyeun
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Correspondence to Kim DoHyeun .

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Editors and Affiliations

  1. Software Engineering and Information Technology Institute, Central Michigan University, Mount Pleasant, Michigan, USA

    Roger Lee

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Xuan, S., DoHyeun, K. (2019). Performance Analysis of IoT Services Based on Clouds for Context Data Acquisition. In: Lee, R. (eds) Big Data, Cloud Computing, Data Science & Engineering. BCD 2018. Studies in Computational Intelligence, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-96803-2_7

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