A Comprehensive Review of Cloud-Based IoT Platforms: Analyzing Scalability, Interoperability, and Data Analytics Capabilities.

December 2024
Vol-10, Issue-6
Paper ID: 25471
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Scalability interoperability cloud-based IoT platforms data analytics Internet of Things real-time analytics prescriptive analytics predictive analytics IoT architecture and the IoT ecosystem.
Abstract
It has become imperative to develop more robust cloud-based platforms with great capabilities to manage the sheer amount of data generated by devices that are interconnected. The review paper provides a detailed analysis of current cloud-based IoT platforms, focusing on three critical dimensions: scalability, interoperability, and data analytics capabilities. Scalability is studied by the resource allocation ability of the system and its capability to support a growing number of devices without losing performance. The interoperability is explored as technical, semantic, and organizational compatibility, highlighting challenges and solutions that facilitate communication among diverse IoT devices. In addition, it covers the data analytics capabilities of these platforms with emphasis on real-time, predictive, and prescriptive analytics as necessary to extract actionable insights from IoT data. With a synthesis of the most recent developments and trends in these areas, this review should offer insights to researchers, practitioners, and stakeholders of the IoT ecosystem to facilitate further work toward the design of more efficient and integrated cloud-based IoT solutions.

Author Information

# Name Institute / Affiliation
1 Ramith R Shetty Alvas Institute Of Engineering And Technology
2 Sagar Alvas Institute Of Engineering And Technology
3 Sandeep V Alvas Institute Of Engineering And Technology
4 Adithi Alvas Institute Of Engineering And Technology
5 Pradeep Nayak Alvas Institute Of Engineering And Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Shetty, Ramith R, Sagar, V, Sandeep, Adithi, & Nayak, Pradeep (2024). A Comprehensive Review of Cloud-Based IoT Platforms: Analyzing Scalability, Interoperability, and Data Analytics Capabilities.. International Journal of Advance Research and Innovative Ideas In Education, 10(6), 1513-1526.
MLA Style
Shetty, Ramith R, et al. "A Comprehensive Review of Cloud-Based IoT Platforms: Analyzing Scalability, Interoperability, and Data Analytics Capabilities.." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, 2024, pp. 1513-1526.
IEEE Style
Ramith R Shetty, Sagar, Sandeep V, Adithi, and Pradeep Nayak, "A Comprehensive Review of Cloud-Based IoT Platforms: Analyzing Scalability, Interoperability, and Data Analytics Capabilities.," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, pp. 1513-1526, 2024.
Vancouver Style
Shetty Ramith R, Sagar, V Sandeep, Adithi, Nayak Pradeep. A Comprehensive Review of Cloud-Based IoT Platforms: Analyzing Scalability, Interoperability, and Data Analytics Capabilities.. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(6):1513-1526.
Harvard Style
Shetty, Ramith R, Sagar, V, Sandeep, Adithi, & Nayak, Pradeep (2024) 'A Comprehensive Review of Cloud-Based IoT Platforms: Analyzing Scalability, Interoperability, and Data Analytics Capabilities.', International Journal of Advance Research and Innovative Ideas In Education, 10(6), pp. 1513-1526.
Chicago Style
Shetty, Ramith R, et al. "A Comprehensive Review of Cloud-Based IoT Platforms: Analyzing Scalability, Interoperability, and Data Analytics Capabilities.." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 1513-1526.
Turabian Style
Shetty, Ramith R, et al. "A Comprehensive Review of Cloud-Based IoT Platforms: Analyzing Scalability, Interoperability, and Data Analytics Capabilities.." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 1513-1526.

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