CLOUD SERVICES AND PLATFORMS RESEARCH FOR INTERNET OF THINGS APPLICATIONS DEPLOYMENT
DOI:
https://doi.org/10.20535/2411-2976.12025.4-13Keywords:
IoT, cloud service, platform, utility score functionAbstract
Background. Various cloud services and platforms are available to deploy and host IoT applications. Such services and platforms differ in capabilities, cost, complexity and other factors. What cloud services or platforms to select from for an IoT solution is an actual and challenging question. The paper expands in detail on cloud services and platforms research for IoT applications deployment and hosting, and offers a way to find an answer to selecting appropriate cloud services or platforms.
Objective. The paper aims to provide an overview of cloud services and platforms for IoT applications deployment and hosting, and propose a method for selecting suitable cloud services or platforms for IoT applications deployment and hosting.
Methods. We use theoretical research in the cloud services and platforms area of expertise for building IoT solutions, employing mathematical modelling and decision theory proposed in the functional form with weight coefficients, to select the best option from pre-selected cloud services and platforms based on IoT solution requirements and constraints.
Results. The paper thoroughly explores IoT technology evolution, IoT product lifecycle, IoT solution architecture, and cloud service types for IoT solutions hosting. Research delves into public cloud service providers with detailed elaboration on the AWS public cloud services, and reviews platform service providers for implementing IoT solutions. Then, the work breaks down two practical implementation cases of IoT solutions using the Blynk platform and custom hosting services. Furthermore, the study articulates recommendations for developing sustainable IoT solutions and provides examples of selecting an IoT cloud service or platform for three IoT applications across various business domains. As a result, the work proposes a utility-based scoring function for selecting cloud or platform services for deploying and hosting an IoT solution.
Conclusions. There’s no one-size-fits-all IoT cloud or platform. The choice depends on IoT solution specifics, requirements and constraints. A utility-based scoring function is proposed to guide cloud provider or platform selection.
References
World trends of modern information and telecommunication technologies development / Ilchenko M., Uryvsky L., Osypchuk S. // The Fourth International Conference on Information and Telecommunication Technologies and Radio Electronics, UkrMiCo-2019. Odesa, Ukraine. – Conference proceedings. https://ieeexplore.ieee.org/document/9165461/. Date of Conference: 9-13 Sept. 2019. Date Added to IEEE Xplore: 12 August 2020. ISBN Information: DOI: 10.1109/UkrMiCo47782.2019.9165461. – 7 p.
The main directions of improving information and communication technologies in the global trends / Mykhailo Ilchenko, Leonid Uryvsky, Sergey Osypchuk // Lecture Notes in Networks and Systems. Springer. ISSN 2367-3370 ISSN 2367-3389 (electronic). Lecture Notes in Networks and Systems. ISBN 978-3-030-58358-3 ISBN 978-3-030-58359-0 (eBook). September 2020. DOI:10.1007/978-3-030-58359-0_1. In book: Advances in Information and Communication Technology and Systems (pp.3-22)
Internet of things solutions usage perspectives in Ukraine and their applications specifics / L. Uryvsky, A. Moshynska, S. Osypchuk // Collective monograph «The Potential of Modern Science». 2019. – 17 p.
Yadav Poonam, Qi Li, and Richard Mortier. "IoT Network Behaviours and Dependencies." November 2018. Series No: CDBB_WP_005. DOI: https://doi.org/10.17863/CAM.31463. University of Cambridge. (2018).
Kumar Vijay, Poonam Yadav, et al. "Challenges in the design and implementation of IoT testbeds in smart-cities: A systematic review." arXiv preprint arXiv:2302.11009 (2023).
Amazon Web Services, Inc., "AWS Well-Architected Framework: IoT Lens," [Online]. Retrieved from: https://docs.aws.amazon.com/wellarchitected/latest/iot-lens/wellarchitected-iot-lens.pdf. [Accessed: May 22, 2025].
Kolcun, Roman, Diana Andreea Popescu, Vadim Safronov, Poonam Yadav, Anna Maria Mandalari, Richard Mortier, and Hamed Haddadi. "Revisiting IoT device identification." arXiv preprint arXiv:2107.07818 (2021).
Amazon Web Services, Inc., "AWS Pricing Calculator." [Online]. Retrieved from: https://calculator.aws. [Accessed: May 22, 2025].
Blynk Inc., "Blynk IoT Platform," [Online]. Retrieved from: https://blynk.io. [Accessed: May 22, 2025].
Theoretical research and practical design of IoT testbed solution based on ESP8266 SoC and Blink components / Chekunov M., Osypchuk I., Kyrashchuk V., Osypchuk S. // 12th International Scientific Conference "Modern Challenges in Telecommunications", April 16-20, PT-2018. Kyiv, Ukraine. Conference materials. – pp. 466-468.
Applied aspects of implementation of information transmission solutions in the IoT technologies / Serhiy Osypchuk, Alina Moshinska, Vasyl Kirashchuk // Proceedings of the International Scientific and Technical Conference "Perspectives of Telecommunications". Kyiv, Ukraine. PT-2019. pp.17-21.
Kumar, Vijay, Poonam Yadav, and Leandro Soares Indrusiak. "Resilient Edge: Building an adaptive and resilient multi-communication network for IoT Edge using LPWAN and WiFi." IEEE Transactions on Network and Service Management 20, no. 3 (2023): 3055-3071.
Research and implementation of IoT temperature automated metering project based on telecommunication systems institute / Iatsyshin O., Maltsev A., Dykyy A., Osypchuk S. // Proceedings of the International Scientific and Technical Conference "Perspectives of Telecommunications". Kyiv, Ukraine, PT-2020. – pp. 343-345.
Research and implementation of IoT projects for environment parameters and energy resource metering / Leonid O. Uryvsky, Wolfgang H. Gerstacker, Alina V. Moshynska, Serhii O. Osypchuk, Oleksandr V. Yatsyshyn // ISSN 2312-4121, Information and Telecommunication Sciences, 2020, Volume 11, Number 1 © 2020, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”. – pp. 27-34. https://doi.org/10.20535/2411-2976.12020.27-34
Yadav Poonam, Edith CH Ngai, et al. "Machine Learning on Edge in Sensor Systems (SenSys-ML 2024)." In 2024 IEEE 3rd Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML), pp. 1-2. IEEE, 2024.
Kolcun Roman, Poonam Yadav, et al. "The case for retraining of ML models for IoT device identification at the Edge." arXiv preprint arXiv:2011.08605 (2020).
