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Title: :  Edge Intelligence in Modern Networks: Survey of Architectures and Frameworks for Scalable Deployment
PaperId: :  27669
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 6 2025
DUI:    16.0415/IJARIIE-27669
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Leevan Michael VazAlvas Institute Of Engineering And Technology
Mithali SAlvas Institute Of Engineering And Technology
Kuncham Harsha Vardhan ReddyAlvas Institute Of Engineering And Technology
Mahamad Gouse NAlvas Institute Of Engineering And Technology

Abstract

Computer Engineering
Edge Computing, Decentralized Architectures, EC, Real-Time Decision-Making, 5G, Artificial Intelligence, Resource Optimization, Security Frameworks
Edge computing has emerged as a transformative paradigm addressing the growing need for processing data closer to its source. With the exponential increase in EC devices and latency-sensitive applications, edge computing aims to reduce latency, improve bandwidth efficiency, and enable real-time decision-making. Unlike traditional cloud computing, which relies heavily on centralized data centers, edge computing leverages a decentralized architecture that distributes computational tasks to edge devices and local servers. This review explores the current edge computing architectures and frameworks, focusing on their design, deployment models, and suitability for various applications. Furthermore, this paper examines how edge computing integrates with complementary technologies such as artificial intelligence, 5G, and EC to form robust ecosystems capable of addressing diverse industry needs. Special attention is given to security and privacy considerations in edge architectures, as well as resource management techniques for optimizing performance. By analyzing state-of-the-art frameworks, including federated edge solutions and container-based deployments, this paper aims to identify their strengths, limitations, and potential research directions for further innovation in edge computing systems.

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IJARIIE Leevan Michael Vaz, Mithali S, Kuncham Harsha Vardhan Reddy, and Mahamad Gouse N. "Edge Intelligence in Modern Networks: Survey of Architectures and Frameworks for Scalable Deployment" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 6 2025 Page 310-316
MLA Leevan Michael Vaz, Mithali S, Kuncham Harsha Vardhan Reddy, and Mahamad Gouse N. "Edge Intelligence in Modern Networks: Survey of Architectures and Frameworks for Scalable Deployment." International Journal Of Advance Research And Innovative Ideas In Education 11.6(2025) : 310-316.
APA Leevan Michael Vaz, Mithali S, Kuncham Harsha Vardhan Reddy, & Mahamad Gouse N. (2025). Edge Intelligence in Modern Networks: Survey of Architectures and Frameworks for Scalable Deployment. International Journal Of Advance Research And Innovative Ideas In Education, 11(6), 310-316.
Chicago Leevan Michael Vaz, Mithali S, Kuncham Harsha Vardhan Reddy, and Mahamad Gouse N. "Edge Intelligence in Modern Networks: Survey of Architectures and Frameworks for Scalable Deployment." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 6 (2025) : 310-316.
Oxford Leevan Michael Vaz, Mithali S, Kuncham Harsha Vardhan Reddy, and Mahamad Gouse N. 'Edge Intelligence in Modern Networks: Survey of Architectures and Frameworks for Scalable Deployment', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, 2025, p. 310-316. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Edge_Intelligence_in_Modern_Networks__Survey_of_Architectures_and_Frameworks_for_Scalable_Deployment_ijariie27669.pdf (Accessed : ).
Harvard Leevan Michael Vaz, Mithali S, Kuncham Harsha Vardhan Reddy, and Mahamad Gouse N. (2025) 'Edge Intelligence in Modern Networks: Survey of Architectures and Frameworks for Scalable Deployment', International Journal Of Advance Research And Innovative Ideas In Education, 11(6), pp. 310-316IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Edge_Intelligence_in_Modern_Networks__Survey_of_Architectures_and_Frameworks_for_Scalable_Deployment_ijariie27669.pdf (Accessed : )
IEEE Leevan Michael Vaz, Mithali S, Kuncham Harsha Vardhan Reddy, and Mahamad Gouse N, "Edge Intelligence in Modern Networks: Survey of Architectures and Frameworks for Scalable Deployment," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, pp. 310-316, Nov-Dec 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Edge_Intelligence_in_Modern_Networks__Survey_of_Architectures_and_Frameworks_for_Scalable_Deployment_ijariie27669.pdf [Accessed : ].
Turabian Leevan Michael Vaz, Mithali S, Kuncham Harsha Vardhan Reddy, and Mahamad Gouse N. "Edge Intelligence in Modern Networks: Survey of Architectures and Frameworks for Scalable Deployment." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 6 ().
Vancouver Leevan Michael Vaz, Mithali S, Kuncham Harsha Vardhan Reddy, and Mahamad Gouse N. Edge Intelligence in Modern Networks: Survey of Architectures and Frameworks for Scalable Deployment. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(6) : 310-316. Available from: https://ijariie.com/AdminUploadPdf/Edge_Intelligence_in_Modern_Networks__Survey_of_Architectures_and_Frameworks_for_Scalable_Deployment_ijariie27669.pdf
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