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"Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical ..."
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DOI: 10.1145/3371708
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type: Journal Article
metadata version: 2020-09-11
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Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems
Voica Gavrilut , Paul Pop . Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems . TCPS , 4(2), 2020. [doi]
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Traffic-type assignment for TSN-based mixed-criticality cyber-physical systems
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- Optimization Problem 12%
- Quality of Service 12%
- Static Schedule 12%
- Convergence 12%
- Timing Requirement 12%
- Deadlines 12%
- Effort Traffic 12%
- Criticality Application 12%
- Metaheuristics 12%
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ACM Transactions on Cyber-Physical Systems
Volume 4, Issue 2
City University of Hong Kong and National Taiwan University, Taiwan
- Association for Computing Machinery
- United States
- Modeling methodologies
- Surveys and overviews
- cyber-physical systems
- Autonomous vehicles
- Connected autonomous vehicles
- CPS security
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Reliable Communication and Latency Bound Generation in Wireless Cyber-Physical Systems
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Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems
This article focuses on mixed-criticality applications with functions that have different timing requirements, i.e., hard real-time (HRT), soft real-time (SRT), and functions that are not time-critical (NC). The applications are implemented on ...
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International Conference on Wireless Algorithms, Systems, and Applications
WASA 2022: Wireless Algorithms, Systems, and Applications pp 20–28 Cite as
A Time Utility Function Driven Scheduling Scheme for Managing Mixed-Criticality Traffic in TSN
- Jinxin Yu 11 ,
- Changyan Yi 11 ,
- Tong Zhang 11 ,
- Fang Zhu 12 &
- Jun Cai 13
- Conference paper
- First Online: 17 November 2022
Part of the Lecture Notes in Computer Science book series (LNCS,volume 13473)
With the development of the industrial Internet, IEEE Time-Sensitive Networking (TSN) has attracted more and more attentions due to its capability of providing deterministic network performance. Unlike most existing studies that only considered a single type of traffic, our work addresses the scheduling problem of mixed-criticality traffic in TSN. Time utility function (TUF) is a utility curve that measures the quality of service (QoS) of streams with respect to end-to-end delays. In this paper, we introduce a variety of TUFs for different streams in TSN according to specific timing requirements. To match the transmission protocol of TSN, we first categorize mixed-criticality traffic into periodic and aperiodic streams, and then design a novel scheduling scheme aiming to maximize the total TUF value of all streams. We compare our proposed scheme with two benchmark schemes, and evaluation results show that our proposed one outperforms the counterparts, especially under the worst-case network settings.
- Time sensitive network
- Mixed-criticality traffic scheduling
- Time utility function
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Acknowlegement
This work was supported by National Natural Science Foundation of China (NSFC) under Grants 62002164 and 62002165.
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College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Jinxin Yu, Changyan Yi & Tong Zhang
State Key Laboratory of Mobile Network and Mobile Multimedia Technology, ZTE Corporation, Shenzhen, China
Department of Electrical and Computer Engineering, Concordia University, Montréal, QC, H3G 1M8, Canada
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Correspondence to Jinxin Yu .
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Dalian University of Technology, Dalian, China
Ben-Gurion University of the Negev, Beer-Sheva, Israel
Michael Segal
Chang Gung University, Taiwan, China
Jenhui Chen
Tianjin University, Tianjin, China
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Yu, J., Yi, C., Zhang, T., Zhu, F., Cai, J. (2022). A Time Utility Function Driven Scheduling Scheme for Managing Mixed-Criticality Traffic in TSN. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13473. Springer, Cham. https://doi.org/10.1007/978-3-031-19211-1_2
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DOI : https://doi.org/10.1007/978-3-031-19211-1_2
Published : 17 November 2022
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TSN supports the convergence of multiple traffic types, i.e., critical, real-time, and regular "best-effort" traffic within a single network: Time-triggered (TT), where the messages are transmitted based on static schedule tables, Audio-video Bridging (AVB), for dynamically scheduled messages with a guaranteed bandwidth and bounded delays, and …
Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems | Semantic Scholar DOI: 10.1145/3371708 Corpus ID: 216551500 Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems GavriluţVoica, PopPaul Published 21 January 2020 Computer Science ACM Transactions on Cyber-Physical Systems
TSN supports the convergence of multiple traffic types, i.e., critical, real-time, and regular "best-effort" traffic within a single network: Time-triggered (TT), where the messages are transmitted based on static schedule tables, Audio-video Bridging (AVB), for dynamically scheduled messages with a guaranteed bandwidth and bounded delays, and …
TSN supports the convergence of multiple traffic types, i.e., critical, real-time, and regular "best-effort" traffic within a single network: Time-triggered (TT), where the messages are...
The applications are implemented on distributed cyber-physical systems that use IEEE Time-sensitive Networking (TSN). TSN is the product of an IEEE effort to bring deterministic real-time capabilities to IEEE 802.3 Ethernet. TSN supports the convergence of multiple traffic types, i.e… View on ACM doi.org Save to Library Create Alert Cite
Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems. ACM Trans. Cyber Phys. Syst. 4 ( 2): 23:1-23:27 ( 2020) last updated on 2020-09-11 15:00 CEST by the dblp team all metadata released as open data CC0 1.0 license | Imprint
TTEthernet supports three traffic classes: Time-Triggered (TT), where frames are transmitted based on static schedule tables; Rate Constrained (RC), for dynamic frames with a guaranteed...
Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems Voica Gavriluţ, Paul Pop Published: 7 February 2020 by Association for Computing Machinery (ACM) in ACM Transactions on Cyber-Physical Systems ACM Transactions on Cyber-Physical Systems, Volume 4, pp 1-27; doi:10.1145/3371708 Publisher Website Google Scholar
Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems. Voica Gavrilut, Paul Pop. Traffic-type Assignment for TSN-based Mixed-criticality Cyber-physical Systems. TCPS, 4(2), 2020.
Traffic-type assignment for TSN-based mixed-criticality cyber-physical systems. Voica Gavriluţ, Paul Pop. Embedded Systems Engineering; ... Overview; Fingerprint; Fingerprint Dive into the research topics of 'Traffic-type assignment for TSN-based mixed-criticality cyber-physical systems'. Together they form a unique fingerprint. Sort by Weight
Cyber-Physical Systems (CPS) play a significant role in our critical infrastructure networks from power-distribution to utility networks. The emerging smart-grid concept is a compelling critical CPS infrastructure that relies on two-way communications ... 11 513 Metrics Total Citations 11 Total Downloads 513 Last 12 Months 111 Last 6 weeks 6
Unlike most existing studies that only considered a single type of traffic, our work addresses the scheduling problem of mixed-criticality traffic in TSN. ... Gavriluţ, V., Pop, P.: Traffic-type assignment for TSN-based mixed-criticality cyber-physical systems. ACM Trans. Cyber-physical Syst. 4(2), 1-27 (2020)
IET Cyber-Physical Systems: Theory & Applications; IET Cyber-Systems and Robotics; ... Given a TSN-based distributed architecture, a set of applications with tasks and messages as well as a set of security and redundancy requirements, the authors are interested to synthesise a system configuration such that the real-time, safety and security ...
Physical Appliances UC Berkeley's Infoblox implementation includes a mixture of physical and virtual appliances. "We already had virtualized infrastructure for the DNS BIND servers, so it made sense to deploy virtual appliances wherever we could," says Orr. "But for our Grid Masters, based on scale, that wasn't the
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