International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Leveraging Edge Computing for Scalable Real-time Cloud Systems

Author(s) Sai Srujan Siripuram
Country United States
Abstract Edge computing, which addresses the drawbacks of conventional centralized systems by moving processing resources closer to data sources, is a revolutionary advancement in cloud computing architecture. This paradigm shift makes Real-time processing capabilities possible, facilitating the exponential expansion of IoT devices that produce enormous volumes of data at the network edge. In various industries, such as healthcare, smart cities, and industrial IoT, edge computing deployments dramatically increase latency reduction, bandwidth optimization, and resource efficiency through complex horizontal and vertical scaling mechanisms. The hybrid architecture strategy guarantees efficient resource use while preserving high performance and reliability by combining edge and cloud capabilities. With exciting advancements in 5G integration, artificial intelligence, and quantum computing applications, edge computing is still developing and influencing distributed computing systems' future despite standardization, security, and resource management obstacles.
Keywords Keywords: Edge Computing, Real-time Processing, Hybrid Architecture, Scalability, IoT Integration
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-04
Cite This Leveraging Edge Computing for Scalable Real-time Cloud Systems - Sai Srujan Siripuram - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.31998
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.31998
Short DOI https://doi.org/g8tv84

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