Research Article
Scalable Cloud Computing Architecture for IoT Data Processing
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Abstract
The Internet of Things (IoT) generates massive amounts of data that require efficient processing, storage, and analysis. The cloud provides the necessary infrastructure for handling these data streams at scale, enabling IoT systems to function seamlessly. However, scaling cloud resources for real-time IoT applications presents latency, cost management, security, and data integration challenges. This paper explores the architecture of scalable cloud computing systems for IoT data processing. We analyze key components such as load balancing, distributed computing, and serverless architectures. We also review case studies and technologies such as edge computing, 5G, and Machine Learning (ML) integration, which offer new opportunities for scalability. Finally, we highlight future trends in cloud computing and the growing importance of AI and blockchain in improving scalability and security.
Keywords
Internet of things Scalable cloud architecture Data processing Edge computing 5G Serverless computing Distributed computing Machine learning BlockchainReferences (17)
- [1] Qiu, T., Chi, J., Zhou, X., Ning, Z., Atiquzzaman, M., & Wu, D. O. (2020). Edge computing in industrial internet of things: Architecture, advances and challenges. IEEE communications surveys & tutorials, 22(4), 2462–2488. https://doi.org/10.1109/COMST.2020.3009103
- [2] Singh, N., Raza, M., Paranthaman, V. V., Awais, M., Khalid, M., & Javed, E. (2021). Internet of things and cloud computing. In Digital health (pp. 151–162). Elsevier. https://doi.org/10.1016/B978-0-12-818914-6.00013-2
- [3] Ammar, M., Russello, G., & Crispo, B. (2018). Internet of things: A survey on the security of IoT frameworks. Journal of information security and applications, 38, 8–27. https://doi.org/10.1016/j.jisa.2017.11.002
- [4] Stergiou, C., Psannis, K. E., Kim, B. G., & Gupta, B. (2018). Secure integration of IoT and cloud computing. Future generation computer systems, 78, 964–975. https://doi.org/10.1016/j.future.2016.11.031
- [5] Narula, S., Jain, A., & others. (2015). Cloud computing security: amazon web service. 2015 fifth international conference on advanced computing & communication technologies. (pp. 501–505). IEEE https://doi.org/10.1109/ACCT.2015.20
- [6] Sotiriadis, S., Bessis, N., Amza, C., & Buyya, R. (2016). Elastic load balancing for dynamic virtual machine reconfiguration based on vertical and horizontal scaling. IEEE transactions on services computing, 12(2), 319–334. https://doi.org/10.1109/TSC.2016.2634024
- [7] Pierleoni, P., Concetti, R., Belli, A., & Palma, L. (2019). Amazon, Google and Microsoft solutions for IoT: architectures and a performance comparison. IEEE access, 8, 5455–5470. https://doi.org/10.1109/ACCESS.2019.2961511
- [8] Chanal, P. M., & Kakkasageri, M. S. (2020). Security and privacy in IoT: A survey. Wireless personal communications, 115(2), 1667–1693. https://doi.org/10.1007/s11277-020-07649-9
- [9] Xu, Y., & Helal, A. (2015). Scalable cloud-sensor architecture for the internet of things. IEEE internet of things journal, 3(3), 285–298. https://doi.org/10.1109/JIOT.2015.2455555
- [10] Gal, M. S., & Rubinfeld, D. L. (2019). Data standardization. NYUL rev., 94, 737. https://B2n.ir/yf4202
- [11] Hassan, N., Gillani, S., Ahmed, E., Yaqoob, I., & Imran, M. (2018). The role of edge computing in internet of things. IEEE communications magazine, 56(11), 110–115. (In Persion). https://doi.org/10.1109/MCOM.2018.1700906
- [12] Singh, S. (2017). Optimize cloud computations using edge computing. 2017 international conference on big data, iot and data science (BID) (pp. 49–53). IEEE. https://doi.org/10.1109/BID.2017.8336572
- [13] Sun, J., Zhang, Y., Wu, Z., Zhu, Y., Yin, X., Ding, Z., Plaza, A. (2019). An efficient and scalable framework for processing remotely sensed big data in cloud computing environments. IEEE transactions on geoscience and remote sensing, 57(7), 4294–4308. https://doi.org/10.1109/TGRS.2018.2890513
- [14] Kaur, J., & Kaur, K. (2017). Internet of things: A review on technologies, architecture, challenges, applications, future trends. International journal of computer network and information security, 9(4), 57. https://doi.org/10.5815/ijcnis.2017.04.07%0D
- [15] Minoli, D., & Occhiogrosso, B. (2018). Blockchain mechanisms for IoT security. Internet of things, 1, 1–13. https://doi.org/10.1016/j.iot.2018.05.002
- [16] Jawed, M. S., & Sajid, M. (2022). A comprehensive survey on cloud computing: architecture, tools, technologies, and open issues. International journal of cloud applications and computing (IJCAC), 12(1), 1–33. https://doi.org/10.4018/IJCAC.308277
- [17] Chang, K. D., Chen, C. Y., Chen, J. L., & Chao, H. C. (2011). Internet of things and cloud computing for future internet. Security-enriched urban computing and smart grid: second international conference, sucoms 2011, hualien, taiwan 2011. proceedings (pp. 1–10). Springer. https://doi.org/10.1007/978-3-642-23948-9_1
Article Metrics
- Published 2024-03-16
- Issue Vol. 1 No. 1 (2024): Computational Engineering and Technology Innovations
- Section Articles
- Document Type Research Article
- Views 1394
- Downloads 1486
How to Cite
Singh Kashyap, V. (2024). Scalable Cloud Computing Architecture for IoT Data Processing. Computational Engineering and Technology Innovations, 1(1), 52-59. https://doi.org/10.48314/ceti.v1i1.26