CT-PIFO: A Congruity Tree Based Packet Scheduler to Improve Flow Completion Time

5G technology is driving significant innovations and shaping a future of pervasive connectivity by enabling the seamless connection of a large number of devices within a network. As the number of interconnected devices grows and data demand intensifies, the need for efficient packet scheduling becomes essential in ensuring consistent Quality of Service (QoS). Efficient scheduling mechanisms must be capable of dynamically adjusting to fluctuating network conditions, ensuring optimal resource allocation, minimizing latency, and sustaining high throughput. To this end, we propose CT-PIFO–a congruity metric-based packet scheduling mechanism to provide PIFO-like performance. Packets are stored in the priority queues based on the congruity metric, which guides a ranked packet to the appropriate queue. Our proposed design substantially improves the performance over the state-of-the-art models such as SPPIFO. Simulation results show that our design provides ~10% better flow completion time as compared to SP-PIFO and 2-3× reduction in packet drop. Our system better approximates the PIFO by falling within 2-3% of PIFO’s flow completion time.

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Publication Details

Published
2025-08-04
DOI
https://doi.org/10.1109/icccn65249.2025.11134021
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
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article

CT-PIFO: A Congruity Tree Based Packet Scheduler to Improve Flow Completion Time

Sourabh Singh, Aniruddha Kushwaha, Pralhad Magadum
Network Traffic and Congestion Control
article

CT-PIFO: A Congruity Tree Based Packet Scheduler to Improve Flow Completion Time

Sourabh Singh, Aniruddha Kushwaha, Pralhad Magadum
article en

Abstract

5G technology is driving significant innovations and shaping a future of pervasive connectivity by enabling the seamless connection of a large number of devices within a network. As the number of interconnected devices grows and data demand intensifies, the need for efficient packet scheduling becomes essential in ensuring consistent Quality of Service (QoS). Efficient scheduling mechanisms must be capable of dynamically adjusting to fluctuating network conditions, ensuring optimal resource allocation, minimizing latency, and sustaining high throughput. To this end, we propose CT-PIFO–a congruity metric-based packet scheduling mechanism to provide PIFO-like performance. Packets are stored in the priority queues based on the congruity metric, which guides a ranked packet to the appropriate queue. Our proposed design substantially improves the performance over the state-of-the-art models such as SPPIFO. Simulation results show that our design provides ~10% better flow completion time as compared to SP-PIFO and 2-3× reduction in packet drop. Our system better approximates the PIFO by falling within 2-3% of PIFO’s flow completion time.

Indian Institute of Technology Indore (IN)
Openalex Percentile: Top 74%
Network Traffic and Congestion Control
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