Brief Industry Paper: Towards Efficient Task Scheduling for AUTOSAR using Parallel Pruning-Reference-Cited by-同舟云学术

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Brief Industry Paper: Towards Efficient Task Scheduling for AUTOSAR using Parallel Pruning

Published:2023-12-05 Issue: Volume: Page:484-488
ISSN:
Container-title:2023 IEEE Real-Time Systems Symposium (RTSS)
language:
Short-container-title:

Author:

Yang Yanxing¹,Zhang Nan¹,Yan Dengke¹,Wei Xian¹,Zhou Junlong²,Liu Hong³,Chen Mingsong¹

Affiliation:

1. MoE Engineering Research Center of SW/HW Co-Design Technology and Application, East China Normal University

2. School of Computer Science and Engineering, Nanjing University of Science and Technology

3. Shanghai Uni-Sentry Intelligent Technology Co., Ltd.,China

Funder

Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10405422/10405425/10405919.pdf?arnumber=10405919

Reference12 articles.

1. Achievements and ex-ploitation of the autosar development partnership;Fennel;Tech-nical report, SAE Technical Paper,2006

2. A Survey on the Benefits and Drawbacks of AUTOSAR

3. AUTOSAR for Connected and Autonomous Vehicles: The AUTOSAR Adaptive Platform

4. AUTOSAR migration from existing automotive software

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