Cloud of Things and Interworking IoT Platform: Strategy and Execution Overviews
Keywords:
Abstract
An IoT platform is a multi-layer system that enables linked device automation. IoT platforms are enabling software that connects various hardware devices, access points, and networks to other sections of the value chain. Virtual objects are now essential in any IoT platform. In this work, we design and create a cloud-based IoT platform that allows users to register and initialize virtual objects, then consume them via the IoT marketplace and integrate them into IoT applications. The proposed IoT platform differs from previous IoT platforms in that it provides both hardware and software services on a single platform. The proposed IoT platform is distinct from the IoT marketplace where users can buy and sell virtual things. Based on virtual items in CoT, IoT platform and IoT marketplace experiments are undertaken. The proposed IoT platform is easy to use, secure, and trustworthy. An IoT testbed and a case study for reusing virtual objects in a residential environment are developed. It allows for virtual object discovery and sharing. Virtual objects can monitor and operate IoT devices.
References
Achar, S. (2015). Requirement of Cloud Analytics and Distributed Cloud Computing: An Initial Overview. International Journal of Reciprocal Symmetry and Physical Sciences, 2, 12–18. https://upright.pub/index.php/ijrsps/article/view/70
Achar, S. (2016). Software as a Service (SaaS) as Cloud Computing: Security and Risk vs. Technological Complexity. Engineering International, 4(2), 79-88. https://doi.org/10.18034/ei.v4i2.633
Achar, S. (2017). Asthma Patients’ Cloud-Based Health Tracking and Monitoring System in Designed Flashpoint. Malaysian Journal of Medical and Biological Research, 4(2), 159-166. https://doi.org/10.18034/mjmbr.v4i2.648
Adusumalli, H. P. (2016a). Digitization in Production: A Timely Opportunity. Engineering International, 4(2), 73-78. https://doi.org/10.18034/ei.v4i2.595
Adusumalli, H. P. (2016b). How Big Data is Driving Digital Transformation?. ABC Journal of Advanced Research, 5(2), 131-138. https://doi.org/10.18034/abcjar.v5i2.616
Adusumalli, H. P. (2017a). Mobile Application Development through Design-based Investigation. International Journal of Reciprocal Symmetry and Physical Sciences, 4, 14–19. Retrieved from https://upright.pub/index.php/ijrsps/article/view/58
Adusumalli, H. P. (2017b). Software Application Development to Backing the Legitimacy of Digital Annals: Use of the Diplomatic Archives. ABC Journal of Advanced Research, 6(2), 121-126. https://doi.org/10.18034/abcjar.v6i2.618
Adusumalli, H. P. (2018). Digitization in Agriculture: A Timely Challenge for Ecological Perspectives. Asia Pacific Journal of Energy and Environment, 5(2), 97-102. https://doi.org/10.18034/apjee.v5i2.619
Adusumalli, H. P., & Pasupuleti, M. B. (2017). Applications and Practices of Big Data for Development. Asian Business Review, 7(3), 111-116. https://doi.org/10.18034/abr.v7i3.597
Borgia, E. (2014). The Internet of Things vision: Key features, applications and open issues. Comput. Commun., 54, 1–31.
Dehury, C. K., Sahoo, P. K. (2016). Design and implementation of a novel service management framework for IoT devices in cloud. J. Syst. Softw., 119, 149–161.
Pasupuleti, M. B. (2015a). Data Science: The Sexiest Job in this Century. International Journal of Reciprocal Symmetry and Physical Sciences, 2, 8–11. Retrieved from https://upright.pub/index.php/ijrsps/article/view/56
Pasupuleti, M. B. (2015b). Problems from the Past, Problems from the Future, and Data Science Solutions. ABC Journal of Advanced Research, 4(2), 153-160. https://doi.org/10.18034/abcjar.v4i2.614
Pasupuleti, M. B. (2015c). Stimulating Statistics in the Epoch of Data-Driven Innovations and Data Science. Asian Journal of Applied Science and Engineering, 4, 251–254. Retrieved from https://upright.pub/index.php/ajase/article/view/55
Pasupuleti, M. B. (2016a). The Use of Big Data Analytics in Medical Applications. Malaysian Journal of Medical and Biological Research, 3(2), 111-116. https://doi.org/10.18034/mjmbr.v3i2.615
Pasupuleti, M. B. (2016b). Data Scientist Careers: Applied Orientation for the Beginners. Global Disclosure of Economics and Business, 5(2), 125-132. https://doi.org/10.18034/gdeb.v5i2.617
Pasupuleti, M. B., & Adusumalli, H. P. (2018). Digital Transformation of the High-Technology Manufacturing: An Overview of Main Blockades. American Journal of Trade and Policy, 5(3), 139-142. https://doi.org/10.18034/ajtp.v5i3.599
Ray, P. P. (2016). A survey of IoT cloud platforms. Future Comput. Inform. J., 1, 35–46.
Truong, H. L., Dustdar, S. (2015). Principles for engineering IoT cloud systems. IEEE Cloud Comput., 2, 68–76.
Xia, F., Yang, L.T., Wang, L., Vinel, A. (2012). Internet of things. Int. J. Commun. Syst., 25, 1101–1102.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Asian Journal of Applied Science and Engineering
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.