Decentralized Edge Computing Paradigms: Architecting Low - Latency, Real - Time Data Processing Frameworks in the IoT Era

Abhijit Joshi

Abstract: Edge computing is emerging as a pivotal paradigm in the era of the Internet of Things (IoT), addressing the challenges of handling vast amounts of data generated by IoT devices. This paper delves into the role of edge computing in decentralized data processing, focusing on architectural considerations, use cases, and the benefits of processing data at the edge to reduce latency and enhance real - time decision - making. The discussion encompasses advanced methodologies, technical frameworks, and practical implementations, providing a comprehensive guide for data engineering professionals.

Keywords: Edge Computing, IoT, Decentralized Data Processing, Real - Time Decision Making, Latency Reduction, Data Engineering, Architectural Considerations, Technical Frameworks, Methodologies

How to Cite?: Abhijit Joshi, "Decentralized Edge Computing Paradigms: Architecting Low - Latency, Real - Time Data Processing Frameworks in the IoT Era", Volume 10 Issue 11, November 2021, International Journal of Science and Research (IJSR), Pages: 1531-1538, https://www.ijsr.net/getabstract.php?paperid=SR24608150129, DOI: https://dx.doi.org/10.21275/SR24608150129