Improving scheduling performance in congested networks.

Area of Science:

• Computer Science
• Network Engineering
• Telecommunications

Background:

• Information and communication technologies demand stringent network performance.
• Variable traffic volumes challenge network capacity planning, leading to underutilization and high costs.
• Traditional methods often overprovision networks for peak loads, impacting efficiency.

Purpose of the Study:

• To propose a novel packet scheduling technique for improved network utilization and quality of service.
• To address the challenge of fluctuating network traffic and associated infrastructure costs.
• To enhance performance during peak network usage intervals.

Main Methods:

• Exploiting packet scheduling based on erlang distribution across different serving areas.
• Conducting extensive experiments to evaluate the proposed approach.
• Comparing results against traditional packet scheduling methods.

Main Results:

• Significant improvements in network utilization during peak intervals.
• Enhanced quality of service metrics, including reduced packet loss and latency.
• Demonstrated effectiveness compared to traditional packet scheduling techniques.

Conclusions:

• Erlang distribution-based packet scheduling offers a viable solution for optimizing network performance.
• The proposed method effectively balances network utilization and quality of service.
• This approach can help network operators contain infrastructure costs while meeting performance demands.