Co-Optimization Framework for Heterogeneous Search Spaces in Time-Sensitive Network Planning
- Authors
- Min, Junhong; Kim, Woongsoo; Paek, Jeongyeup
- Issue Date
- Apr-2024
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Co-optimization; IEEE 802.1Qbv; Job shop scheduling; Metaheuristics; Optimization; routing; Routing; Schedules; scheduling; Switches; time-sensitive network (TSN); Timing
- Citation
- IEEE Internet of Things Journal, v.11, no.7, pp 11779 - 11792
- Pages
- 14
- Journal Title
- IEEE Internet of Things Journal
- Volume
- 11
- Number
- 7
- Start Page
- 11779
- End Page
- 11792
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/70733
- DOI
- 10.1109/JIOT.2023.3331430
- ISSN
- 2327-4662
- Abstract
- Time-sensitive networking (TSN) strives to provide an ultra-low-latency real-time deterministic network for time-critical traffic using the time-aware shaper (TAS) mechanism. For this purpose, methods for routing and scheduling the time-critical flows must be specified. However, this is an NP-hard problem. Although several prior studies have suggested constraint programming (CP)-based approaches, these methods fail to provide a reasonable runtime due to the complexity of the problem. Motivated by this, we propose a TAS co-optimization (TACO) framework that solves the TAS scheduling and routing problem in TSN with a reasonable runtime. As an alternative to CP-based approaches, TACO considers a metaheuristic approach to co-optimize routing, scheduling order, and transmission timing. However, joint optimization through a metaheuristic algorithm is challenging due to the heterogeneous search spaces of the sub-problems. Therefore, TACO carefully integrates the search spaces into a single domain and optimizes routing and TAS scheduling jointly with its heuristic algorithm. We evaluate TACO in various industrial networking scenarios to demonstrate that TACO achieves up to an 88% increase in the scheduling success rate with a good convergence rate and an overall low latency/jitter compared to other approaches. IEEE
- Files in This Item
-
- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.