Vol 2, No 2 (2024)

Edge Computing as a Catalyst for Enhancing Cloud-Iot Interactions

Authors: Karan Mehta, Neha Bhargav

Abstract: Edge computing has emerged as a transformative approach to managing the vast amounts of data generated by Itoh devices in cloud environments. By processing data closer to the source, edge computing minimizes latency, reduces bandwidth usage, and enhances real-time decision-making capabilities. This paper explores the integration of edge computing with cloud-IoT architectures, focusing on its benefits and potential challenges. We provide a detailed analysis of several edge computing frameworks and their ability to optimize cloud-IoT interactions. The paper further examines edge computing's role in improving data security, scalability, and device interoperability within cloud ecosystems.

Keywords: Edge Computing, Cloud-IoT Architecture, Real-time Processing, Data Optimization, Interoperability

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