Advanced Visualization Techniques for Large-Scale Network Management System

Authors: Nagarajan

DOI: https://doi.org/10.5281/zenodo.15086551

Short DOI: https://doi.org/g89tdq

Country: United States

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Abstract: As network infrastructures grow in size and complexity, effective visualization techniques become crucial for efficient monitoring, optimization, and troubleshooting. Large-scale networks, particularly those managed by service providers and enterprises, require real-time, high-performance visualization tools to analyze intricate topologies and traffic patterns. Traditional 2D visualization methods often fall short when dealing with dynamic and multilayered network environments, leading to a shift towards more advanced graph-based and 3D visualization techniques.
This research explores graph-based network analysis, real-time monitoring, and debugging tools that enhance network management efficiency. Using Cyan/Ciena’s network visualization system as a case study, this paper demonstrates how 3D network visualization impacts administrator efficiency, improves situational awareness, and enhances decision-making processes. Furthermore, it discusses modern visualization techniques, including force-directed graphs, hierarchical visualization, and WebGL-powered network rendering, for handling large-scale network data. Finally, we address challenges such as performance optimization, data scalability, and integration of AI-driven analytics into visualization frameworks

Keywords: Large-scale networks, network visualization, graph analysis, real-time monitoring, 3D visualization, force-directed graphs, WebGL, AI-driven analytics

Paper Id: 232305

Published On: 2021-11-19

Published In: Volume 9, Issue 6, November-December 2021

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