Probing the architectural and protocol design depths for edge computing excellence in Web3.0

The suggested strategy for excellence in edge computing architecture and protocol design in Web 3.0 begins with issue awareness. We must carefully examine the Web 3.0 difficulties and needs of edge computing. Latency reduction, distributed data management, security, and user autonomy are key. Scholars initiated this path by comprehending the ultimate goal of Web 3.0 and its potential impact on architectural design and protocols. We study current approaches and field research before designing. This helps generate new ideas and identify problem areas. This first step guides assessment criteria and permits comparison with standards. Using various scenarios and edge computing setups, the offered solutions are evaluated, and latency, throughput, and resource use are monitored. Comparing new edge computing solutions helps evaluate the technology. This comparison analysis shows how effectively the suggested solution handles Web 3.0-specific issues like edge computing. We maintain extensive documentation to share study findings, methods, and conclusions with the scientific community. Sharing knowledge early promotes industry cooperation and progress.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/ihcsp63227.2024.10959832
Primary Topic
Cloud Computing and Remote Desktop Technologies
Type
article
Field-Weighted Citation Impact
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article

Probing the architectural and protocol design depths for edge computing excellence in Web3.0

R Reena, G. Ravivarman, Deepak Minhas, S.A. Tiwaskar et al.
Cloud Computing and Remote Desktop Technologies
article

Probing the architectural and protocol design depths for edge computing excellence in Web3.0

R Reena, G. Ravivarman, Deepak Minhas, S.A. Tiwaskar, Sakshi Sobti
article en

Abstract

The suggested strategy for excellence in edge computing architecture and protocol design in Web 3.0 begins with issue awareness. We must carefully examine the Web 3.0 difficulties and needs of edge computing. Latency reduction, distributed data management, security, and user autonomy are key. Scholars initiated this path by comprehending the ultimate goal of Web 3.0 and its potential impact on architectural design and protocols. We study current approaches and field research before designing. This helps generate new ideas and identify problem areas. This first step guides assessment criteria and permits comparison with standards. Using various scenarios and edge computing setups, the offered solutions are evaluated, and latency, throughput, and resource use are monitored. Comparing new edge computing solutions helps evaluate the technology. This comparison analysis shows how effectively the suggested solution handles Web 3.0-specific issues like edge computing. We maintain extensive documentation to share study findings, methods, and conclusions with the scientific community. Sharing knowledge early promotes industry cooperation and progress.

Jain University (IN), Shri Venkateshwara University (IN), Karpagam Academy of Higher Education (IN), Chitkara University (IN)
Sustainable cities and communities
Openalex Percentile: Top 67%
Cloud Computing and Remote Desktop Technologies
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