Overview
In this project, I developed R scripts to create dynamic maps that visualize network traffic for a large telecommunications company. The initiative aimed at identifying redundancies to streamline network planning and capacity management.
Problem statement
The company faced challenges in managing network capacity efficiently due to a lack of clear visual data representation. This led to suboptimal decision-making in network traffic management, impacting service quality and system reliability.
Objectives
- To enhance the visibility of network traffic across various nodes.
- To identify and reduce redundancies in network traffic flow.
- To optimize network planning and capacity management processes.
- To accelerate the decision-making process for network adjustments.
Approach and Implementation
- Developed algorithms using R to map source and destination nodes of network traffic.
- Visualized traffic flow, highlighting areas of congestion and underutilization.
- Implemented a color-coded system to differentiate between varying traffic levels.
- Created an interactive map interface for real-time traffic monitoring.
- Applied the tool to simulate potential changes and predict network performance.
Challenges and Solutions
- Difficulty in translating complex network data into a user-friendly format was resolved by designing intuitive visualization templates.
- Overcoming initial resistance to new tools by conducting hands-on workshops to demonstrate the system’s effectiveness.
