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Strategic parameter-driven routing models for multidestination traffic in telecommunication networks.
Summary
We developed mathematical models for optimal multidestination traffic routing. These models balance network link utilization and cost, improving communication service efficiency.
Area of Science:
- Computer Science
- Network Engineering
- Operations Research
Background:
- Multidestination traffic routing is crucial for modern communication services.
- Existing routing methods require optimization for efficiency and cost-effectiveness.
Purpose of the Study:
- To present mathematical models for optimal multidestination traffic routing parameters.
- To explore strategies for balancing link utilization and network costs.
Main Methods:
- Developed three distinct mathematical models: Link Utilization (LU), Network Cost (NC), and Combined Parametric (CP).
- The LU approach optimizes for balanced link utilization.
- The NC approach minimizes routing costs.
- The CP approach offers solutions balancing both utilization and cost.
Main Results:
- The LU approach demonstrated significant efficiency improvements when implemented by a long-distance carrier for international direct services.
- The NC approach identifies the most economical routing paths.
- The CP approach provides flexible routing solutions considering both efficiency and cost.
Conclusions:
- Mathematical modeling provides effective strategies for optimizing multidestination traffic routing.
- The presented models offer valuable tools for enhancing network performance and reducing operational expenses.
- The successful implementation of the LU approach validates the practical benefits of these models.
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