An Efficient Heuristic CQF Scheduling in Time-Sensitive Networking

IEEE 802.1Qch, also known as cyclic queuing and forwarding (CQF) shaper, enhanced the dynamic and flexible behavior of time-sensitive networking. Schedulability of the CQF is one of the major research fields used to improve system performance. Existing CQF heuristic scheduling approaches only consider the relative deadline in stream sorting or the link utilization in route selection, which encounters limitations while striving to attain high schedulability of streams. We propose an efficient scheduling for CQF. The main contributions are: We provide the earliest virtual absolute deadline first policy, which prioritizes stream instances based on their earliest absolute deadlines, intending to prior allocate resources to the stream instance with the greatest “urgency.” To provide a deep insight into efficient route selection, we then introduce a quality-of-service-aware indicator of a route that mainly accounts for slot utilization and route length, which enables us to select a route with a balance of slot utilization and shorter route length for a stream instance. With the comprehensive evaluation, our method achieves an average schedulability improvement of 31.73%, 17.93%, and 31.85% compared with state-of-the-art methods. Furthermore, our approach can be extended to other CQF-related shapers or time-division scheduling scenarios, significantly enhancing stream schedulability.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-04-17
DOI
https://doi.org/10.1109/tii.2025.3552701
Citations
3
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
4.46

Funders

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

An Efficient Heuristic CQF Scheduling in Time-Sensitive Networking

Qingxu Deng, Zhiwei Feng, Weihong Dong, Xi Jin et al.
3 citations
IEEE Transactions on Industrial Informatics
Network Time Synchronization Technologies
4.46
article

An Efficient Heuristic CQF Scheduling in Time-Sensitive Networking

Qingxu Deng, Zhiwei Feng, Weihong Dong, Xi Jin, Yuhan Lin, Shichang Gao
article en
3 citations

Abstract

IEEE 802.1Qch, also known as cyclic queuing and forwarding (CQF) shaper, enhanced the dynamic and flexible behavior of time-sensitive networking. Schedulability of the CQF is one of the major research fields used to improve system performance. Existing CQF heuristic scheduling approaches only consider the relative deadline in stream sorting or the link utilization in route selection, which encounters limitations while striving to attain high schedulability of streams. We propose an efficient scheduling for CQF. The main contributions are: We provide the earliest virtual absolute deadline first policy, which prioritizes stream instances based on their earliest absolute deadlines, intending to prior allocate resources to the stream instance with the greatest “urgency.” To provide a deep insight into efficient route selection, we then introduce a quality-of-service-aware indicator of a route that mainly accounts for slot utilization and route length, which enables us to select a route with a balance of slot utilization and shorter route length for a stream instance. With the comprehensive evaluation, our method achieves an average schedulability improvement of 31.73%, 17.93%, and 31.85% compared with state-of-the-art methods. Furthermore, our approach can be extended to other CQF-related shapers or time-division scheduling scenarios, significantly enhancing stream schedulability.

IEEE Transactions on Industrial InformaticsVol. 21(7)
Shenyang University of Technology (CN), Northeastern University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 6%
Network Time Synchronization Technologies
4.46
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.