Performance Prediction of On-NIC Network Functions with Multi-Resource Contention and Traffic Awareness

Network function (NF) offloading on SmartNICs has been widely used in modern data centers, offering benefits in host resource saving and programmability. Co-running NFs on the same SmartNICs can cause performance interference due to contention of onboard resources. To meet performance SLAs while ensuring efficient resource management, operators need mechanisms to predict NF performance under such contention. However, existing solutions lack SmartNIC-specific knowledge and exhibit limited traffic awareness, leading to poor accuracy for on-NIC NFs.

Authors

Institutions

Publication Details

Published
2025-02-06
DOI
https://doi.org/10.1145/3669940.3707232
Citations
1
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Prediction of On-NIC Network Functions with Multi-Resource Contention and Traffic Awareness

Zhixiong Niu, Hong Xu, Qiang Su, Shaofeng Wu
1 citations
Software-Defined Networks and 5G
1.49
article

Performance Prediction of On-NIC Network Functions with Multi-Resource Contention and Traffic Awareness

Zhixiong Niu, Hong Xu, Qiang Su, Shaofeng Wu
article en
1 citations

Abstract

Network function (NF) offloading on SmartNICs has been widely used in modern data centers, offering benefits in host resource saving and programmability. Co-running NFs on the same SmartNICs can cause performance interference due to contention of onboard resources. To meet performance SLAs while ensuring efficient resource management, operators need mechanisms to predict NF performance under such contention. However, existing solutions lack SmartNIC-specific knowledge and exhibit limited traffic awareness, leading to poor accuracy for on-NIC NFs.

Chinese University of Hong Kong (HK), Microsoft Research Asia (China) (CN)
Chinese University of Hong Kong
Openalex Percentile: Top 20%
Software-Defined Networks and 5G
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.