Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
권호 표지
DOI QR코드

DOI QR Code

Performance Evaluation of IoT Cloud Platforms for Smart Buildings

스마트 빌딩을 위한 IoT 클라우드 플랫폼의 성능 평가

  • Park, Jung Kyu (Department of Computer Software Engineering, Changshin University) ;
  • Park, Eun Young (Department of Biomedical Laboratory Science, Shinhan University)
  • 박정규 (창신대학교 컴퓨터소프트웨어공학과) ;
  • 박은영 (신한대학교 임상병리학과)
  • Received : 2020.02.24
  • Accepted : 2020.05.08
  • Published : 2020.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

A Smart Building, one that uses automated processes to control its operations, refers in this study to one that uses both Internet of Things (IoT) devices and cloud services software. Cloud service providers (e.g. Amazon, Google, and Microsoft) have recently providedIoT cloud platform application services on IoT devices. According to Postscapes, there are now 152 IoT cloud platforms. Choosing one for a smart building is challenging. We selected Microsoft Azure IoT Hub and Amazon's AWS (Amazon Web Services) IoT. The two platforms were evaluated and selected from a smart building perspective. Each prototype was evaluated on two different IoTplatforms, assuming a typical smart building scenario. The selection was based on information and experience gained from developing the prototype system using the IoT cloud platform. The assessment made in this evaluation may be used to select an IoTcloud platform for smart buildings in the future.

스마트 빌딩 (Smart Building)은 사물 인터넷 (IoT; Internet of Things) 장치와 클라우드 서비스에서 모두 사용될 수 있는 응응 프로그램을 의미한다. 최근 Amazon, Google 및 Microsoft와 같은 클라우드 서비스 제공 업체는 IoT 장치에서 클라우드 애플리케이션 서비스를 제공할 수 있는 IoT 클라우드 플랫폼을 제공하고 있다. Postscapes에 따르면 최근에 152 개의 IoT 클라우드 플랫폼이 존재하고 있으며 스마트 빌딩 구현을 위해 하나를 선택하는 것은 어려운 문제이다. 본 논문에서는 실험을 위해서 마이크로소프트 Azure IoT 허브와 아마존의 AWS(Amazon Web Services) IoT를 선택하였다. 두 개의 IoT 클라우드 플랫폼을 선택하고 스마트 빌딩 관점에서 평가하였다. IoT 클라우드 플랫폼을 평가하기 위해 두 가지 다른 IoT 클라우드 플랫폼을 활용하였고, 일반적인 스마트 빌딩 시나리오를 가정하여 프로토타입을 구현하였다. 실험은 IoT 클라우드 플랫폼을 사용하여 시스템을 개발하는 과정에서 얻은 정보와 경험을 기반으로 수행하였다. 이 평가 결과는 스마트 빌딩을 위해 IoT 클라우드 플랫폼을 선택할 때 활용될 수 있다.

Keywords

References

  1. M. A. A. da Cruz, J. J. P. C. Rodrigues, J. Al-Muhtadi, V. V. Korotaev, V. H. C. de Albuquerque, "A Reference Model for Internet of Things Middleware", IEEE Internet of Things Journal, Vol.5, No.2, pp.971-883, Jan. 2018. DOI: https://doi.org/10.1109/JIOT.2018.2796561
  2. S. Sidid, S. Gaur, "Smart grid building automation based on Internet of Things", Proceedings of 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), IEEE, Vellore, India, pp.1-4, April 2017. DOI: https://doi.org/10.1109/IPACT.2017.8245201
  3. W. Anani, A. Ouda, A. Hamou, "A Survey Of Wireless Communications for IoT Echo-Systems", Proceedings of 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), IEEE, Edmonton, AB, Canada, pp. 1-6, May 2019. DOI: https://doi.org/10.1109/CCECE.2019.8861764
  4. T. Harwood. IoT Cloud Platform Landscape [Internet]. Postscapes, 2019 [cited 2019 November 01], Available From: https://www.postscapes.com/internet-of-things-platforms/ (accessed Feb. 22, 2020)
  5. T. Pflanzner, A. Kertesz, "A survey of IoT cloud providers", Proceedings of 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), IEEE, Opatija, Croatia, pp.730-735, June 2016. DOI: https://doi.org/10.1109/MIPRO.2016.7522237
  6. P. Ganguly, "Selecting the right IoT cloud platform", Proceedings of 2016 International Conference on Internet of Things and Applications (IOTA), IEEE, Pune, India, pp.316-320, 2016. DOI: https://doi.org/10.1109/IOTA.2016.7562744
  7. P. P. Ray, "A survey of IoT cloud platforms", Future Computing and Informatics Journal, Vol.1, No.1-2, pp.35-46, Dec. 2016. DOI: https://doi.org/10.1016/j.fcij.2017.02.001
  8. L. Dignan. Top cloud providers in 2020: AWS, Microsoft Azure, and Google Cloud, hybrid, SaaS players [Internet]. ZDNet, 2020 [cited 2020 March 07], Available From: https://www.zdnet.com/article/the-top-cloud-provide rs-of-2020-aws-microsoft-azure-google-cloud-hybrid-saas/ (accessed Mar. 07, 2020)
  9. M. A. L. Pena, I. M. Fernandez, "SAT-IoT: An Architectural Model for a High-Performance Fog/Edge/Cloud IoT Platform", Proceedings of 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), IEEE, Limerick, Ireland, pp.633-638, 2019. DOI: https://doi.org/10.1109/WF-IoT.2019.8767282
  10. M. Alrashoud, E. Hazza, F. Alqahtani, M. Al-Hammadi, A. Abhari. A. Ghoneim, "Cognitive and Hierarchical Fuzzy Inference System for Generating Next Release Planning in SaaS Applications", IEEE Access, Vol.7, pp.102966-102974, Jul. 2019. DOI: https://doi.org/10.1109/ACCESS.2019.2929214
  11. E. Carrillo, V. Benitez, C. Mendoza, J. Pacheco, "IoT framework for smart buildings with cloud computing", Proceedings of 2015 IEEE First International Smart Cities Conference (ISC2), IEEE, Guadalajara, Mexico, pp.1-6, 2015. DOI: https://doi.org/10.1109/ISC2.2015.7366197
  12. Microsoft. Azure IoT Hub [Internet]. Micosoft, 2019 [cited 2019 October 01], Available From: https://azure.microsoft.com/en-us/services/iot-hub (accessed Feb. 22, 2020)
  13. Amazon. AWS IoT [Internet]. Amazon, 2019 [cited 2019 October 01], Available From: https://aws.amazon.com/iot (accessed Feb. 22, 2020)