A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management

Souryendu Das; Weiting Lian; Stavros Kalafatis; Pavlos Lazaridis

doi:10.1109/NoF55974.2022.9942601

A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management

Souryendu Das, Weiting Lian, Stavros Kalafatis, Pavlos Lazaridis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Networking affects our daily interaction with the digital world. Advancements in Smart Device technology have led to the need for faster, more power-efficient, and error-free networks. Networking protocols, such as TCP and UDP, were originally designed without these new requirements and now face significant challenges in adapting to those goals i.e., efficiently handling congestion delays in switching networks, increasing production costs, and higher packet losses. In this paper, we propose the Smart Switch Dynamic Delay Algorithm (SSDDA) which takes into consideration multiple factors including link utilization, application-level throughput (goodput), packet loss, and queuing delay of the TCP/UDP link. The application is in datacenter switches where the switching could be moved from centralized controller to decentralized data path and programmable smart switches. Continuous feedback from the network enables SSDDA to estimate delay and modify packet flows for optimal performance. Simulation results using NS3 in a fat tree topology are carried out validating the algorithmic benefits of SSDDA.

Original language	English
Title of host publication	Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022
Editors	Tim Wautres, Maurice Khabbaz, Federica Paganelli, Filip Idzikowski, Zuqing Zhu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	5
Volume	13
ISBN (Electronic)	9781665472548, 9781665472531
ISBN (Print)	9781665472555
DOIs	https://doi.org/10.1109/NoF55974.2022.9942601
Publication status	Published - 14 Nov 2022
Event	13th International Conference on the Network of the Future - Ghent, Belgium Duration: 5 Oct 2022 → 7 Oct 2022 Conference number: 13

Publication series

Name	Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022
Publisher	IEEE
Volume	13
ISSN (Print)	2377-8652
ISSN (Electronic)	2833-0072

Conference

Conference	13th International Conference on the Network of the Future
Abbreviated title	NoF 2022
Country/Territory	Belgium
City	Ghent
Period	5/10/22 → 7/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/NoF55974.2022.9942601Licence: Unspecified

Cite this

Das, S., Lian, W., Kalafatis, S., & Lazaridis, P. (2022). A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management. In T. Wautres, M. Khabbaz, F. Paganelli, F. Idzikowski, & Z. Zhu (Eds.), Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022 (Vol. 13). [9942601] (Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022; Vol. 13). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NoF55974.2022.9942601

Das, Souryendu ; Lian, Weiting ; Kalafatis, Stavros et al. / A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management. Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022. editor / Tim Wautres ; Maurice Khabbaz ; Federica Paganelli ; Filip Idzikowski ; Zuqing Zhu. Vol. 13 Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022).

@inproceedings{b466b672a0f1434e9cacb353c6392c3d,

title = "A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management",

abstract = "Networking affects our daily interaction with the digital world. Advancements in Smart Device technology have led to the need for faster, more power-efficient, and error-free networks. Networking protocols, such as TCP and UDP, were originally designed without these new requirements and now face significant challenges in adapting to those goals i.e., efficiently handling congestion delays in switching networks, increasing production costs, and higher packet losses. In this paper, we propose the Smart Switch Dynamic Delay Algorithm (SSDDA) which takes into consideration multiple factors including link utilization, application-level throughput (goodput), packet loss, and queuing delay of the TCP/UDP link. The application is in datacenter switches where the switching could be moved from centralized controller to decentralized data path and programmable smart switches. Continuous feedback from the network enables SSDDA to estimate delay and modify packet flows for optimal performance. Simulation results using NS3 in a fat tree topology are carried out validating the algorithmic benefits of SSDDA.",

keywords = "Bottleneck, Link Utilization, Packet Loss, Queue Delay, RTT, Smart Switch, TCP, UDP",

author = "Souryendu Das and Weiting Lian and Stavros Kalafatis and Pavlos Lazaridis",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 13th International Conference on the Network of the Future, NoF 2022 ; Conference date: 05-10-2022 Through 07-10-2022",

year = "2022",

month = nov,

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doi = "10.1109/NoF55974.2022.9942601",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Tim Wautres and Maurice Khabbaz and Federica Paganelli and Filip Idzikowski and Zuqing Zhu",

booktitle = "Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022",

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Das, S, Lian, W, Kalafatis, S & Lazaridis, P 2022, A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management. in T Wautres, M Khabbaz, F Paganelli, F Idzikowski & Z Zhu (eds), Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022. vol. 13, 9942601, Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022, vol. 13, Institute of Electrical and Electronics Engineers Inc., 13th International Conference on the Network of the Future, Ghent, Belgium, 5/10/22. https://doi.org/10.1109/NoF55974.2022.9942601

A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management. / Das, Souryendu; Lian, Weiting; Kalafatis, Stavros et al.

Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022. ed. / Tim Wautres; Maurice Khabbaz; Federica Paganelli; Filip Idzikowski; Zuqing Zhu. Vol. 13 Institute of Electrical and Electronics Engineers Inc., 2022. 9942601 (Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022; Vol. 13).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management

AU - Das, Souryendu

AU - Lian, Weiting

AU - Kalafatis, Stavros

AU - Lazaridis, Pavlos

N1 - Conference code: 13

PY - 2022/11/14

Y1 - 2022/11/14

N2 - Networking affects our daily interaction with the digital world. Advancements in Smart Device technology have led to the need for faster, more power-efficient, and error-free networks. Networking protocols, such as TCP and UDP, were originally designed without these new requirements and now face significant challenges in adapting to those goals i.e., efficiently handling congestion delays in switching networks, increasing production costs, and higher packet losses. In this paper, we propose the Smart Switch Dynamic Delay Algorithm (SSDDA) which takes into consideration multiple factors including link utilization, application-level throughput (goodput), packet loss, and queuing delay of the TCP/UDP link. The application is in datacenter switches where the switching could be moved from centralized controller to decentralized data path and programmable smart switches. Continuous feedback from the network enables SSDDA to estimate delay and modify packet flows for optimal performance. Simulation results using NS3 in a fat tree topology are carried out validating the algorithmic benefits of SSDDA.

AB - Networking affects our daily interaction with the digital world. Advancements in Smart Device technology have led to the need for faster, more power-efficient, and error-free networks. Networking protocols, such as TCP and UDP, were originally designed without these new requirements and now face significant challenges in adapting to those goals i.e., efficiently handling congestion delays in switching networks, increasing production costs, and higher packet losses. In this paper, we propose the Smart Switch Dynamic Delay Algorithm (SSDDA) which takes into consideration multiple factors including link utilization, application-level throughput (goodput), packet loss, and queuing delay of the TCP/UDP link. The application is in datacenter switches where the switching could be moved from centralized controller to decentralized data path and programmable smart switches. Continuous feedback from the network enables SSDDA to estimate delay and modify packet flows for optimal performance. Simulation results using NS3 in a fat tree topology are carried out validating the algorithmic benefits of SSDDA.

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KW - Link Utilization

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KW - Queue Delay

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SN - 9781665472555

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T3 - Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022

BT - Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022

A2 - Wautres, Tim

A2 - Khabbaz, Maurice

A2 - Paganelli, Federica

A2 - Idzikowski, Filip

A2 - Zhu, Zuqing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th International Conference on the Network of the Future

Y2 - 5 October 2022 through 7 October 2022

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Das S, Lian W, Kalafatis S, Lazaridis P. A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management. In Wautres T, Khabbaz M, Paganelli F, Idzikowski F, Zhu Z, editors, Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022. Vol. 13. Institute of Electrical and Electronics Engineers Inc. 2022. 9942601. (Proceedings of the 2022 13th International Conference on the Network of the Future, NoF 2022). doi: 10.1109/NoF55974.2022.9942601

A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management

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