Real-Time Data Analytics in Cloud-Enabled IoT Networks

Authors

  • Hamiden Abd El-Wahed Khalifa * Department of Operations Research, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt. https://orcid.org/0000-0002-8269-8822
  • Amanna Ghanbari Talouki Department of Technical and Engineering, Ayandegan Institute of Higher Education, Tonekabon, Mazandaran, Iran.

https://doi.org/10.48314/ceti.vi.69

Abstract

This paper investigates the potential integration of real-time data analytics in cloud-enabled systems of IoT. The growth in the IoT landscape at a faster pace has led to massive data generation, and hence integrating efficient analytics is required to extract relevant actionable insights for various applications such as environmental monitoring, industrial automation, and healthcare optimization. We propose an integrated framework that exploits the power of cloud computing capabilities towards data collection, processing, and analytical tasks. It discusses the challenges that exist in this domain, explains the methodologies that help overcome these challenges, and shows the usefulness of the proposed framework in enabling real-time analytics.

Keywords:

Internet of things, Cloud computing, Real-time data analytics, Big data, Data processing

References

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Published

2026-08-28

Issue

Vol. 2 No. 3 (2025): Computational Engineering and Technology Innovations

Section

Articles

How to Cite

Abd El-Wahed Khalifa, H., & Ghanbari Talouki, A. . (2026). Real-Time Data Analytics in Cloud-Enabled IoT Networks. Computational Engineering and Technology Innovations, 2(3). https://doi.org/10.48314/ceti.vi.69

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