APS: Adaptive Packet Sizing for Efficient End-to-End Network Transmission

Han，Feixue1,2; Li，Qing2; Zhou，Jianer2,3; Xu，Hong4; Jiang，Yong1,2

10.1109/IWQoS54832.2022.9812871

2022

30th IEEE/ACM International Symposium on Quality of Service (IWQoS)

1548-615X

978-1-6654-6825-1

2022 IEEE/ACM 30th International Symposium on Quality of Service, IWQoS 2022

1-10

10-12 June 2022

Oslo, Norway

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Much effort has been devoted to improving the performance of network transmission. Yet, the impact of packet size which is limited by the 1500-byte maximum transmission unit (MTU) has not received adequate attention. Through comprehensive experiments, we find that jumbo frames which are commonly used as an alternate do not always yield the best performance under different transmission situations.In this paper, we elaborate on the limitations of the regular and jumbo frames and analyze how packet sizes affect network performance. Based on these, we present Adaptively Packet Sizing (APS), a dynamic packet size adjustment method that can be easily integrated into existing window-based congestion control algorithms. APS utilizes a machine learning method to predict the optimal packet size, which can minimize flow completion time (FCT) according to the instantaneous network condition. Besides, a packet size based priority mechanism is proposed to further improve the performance. We implement APS in both simulation and testbed environments. APS reduces the FCT by up to 50% and gains better performance in scenarios with various loss rates.

Adaptation models Machine learning algorithms Heuristic algorithms Quality of service Machine learning Predictive models Prediction algorithms

其他

英语

CPCI-S ; EI

National Key Research and Development Program of China[2020YFB1804704];

Computer Science ; Engineering ; Telecommunications

Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Telecommunications

WOS:000853833300008

20223112522386

Packet networks ; Transmissions

Mechanical Transmissions:602.2

2-s2.0-85135383042

Scopus

1.Tsinghua Shenzhen International Graduate School,Shenzhen,China
2.Peng Cheng Laboratory,Shenzhen,China
3.Southern University of Science and Technology,Shenzhen,China
4.Chinese University of Hong Kong,Hong Kong,Hong Kong

Han，Feixue,Li，Qing,Zhou，Jianer,et al. APS: Adaptive Packet Sizing for Efficient End-to-End Network Transmission[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:1-10.