Cited By
View all- Oh SChoi YKim SKim CJung KKim S(2020)A Real-Time Data Delivery for Mobile Sinks Group on Mobile Cyber-Physical SystemsApplied Sciences10.3390/app1017595010:17(5950)Online publication date: 27-Aug-2020
Optimization Methods for Computing System in Mobile CPS
Authors: 
Yang Zhang, Zuocheng Xing, Yu Wang, Lirui Chen, Qinglin Wang, Yufei ZhuAuthors Info & Claims
Pages 300 - 305
Abstract
In Mobile Cyber-physical system (CPS) is a popular research field in recent years. It aims to control and monitor mobile devices in complex and real-time scenes, and provide people with convenience and economy by using intelligent applications. The scenes in mobile CPS have close relationships with everyone's life and it has pervasive effect on people's life anytime and anywhere. In the paper, we focus on the intelligent transportation systems (ITS) in mobile CPS. Specifically, we analyse the bottlenecks in automated and autonomous vehicles and find the on-car computer is the key component for low latency and low power self-driving vehicles. We show detailed research developments on the most advanced CPU-GPU platform including four aspects, mainly putting focus on the methods to reduce latency and energy in the system. The four aspects cover reducing data transferring overhead, reducing power consumption with power-gating, optimizing warp scheduling scheme and optimizing cache performance in coprocessors. Finally, we give the prospects and development trends in the computing platform of self-driving on-car system.
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Index Terms
- Optimization Methods for Computing System in Mobile CPS
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Published In
August 2019
382 pages
ISBN:9781450371926
DOI:10.1145/3358528
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- Shandong Univ.: Shandong University
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Published: 28 August 2019
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ICBDT2019
ICBDT2019: 2019 2nd International Conference on Big Data Technologies
August 28 - 30, 2019
Jinan, China
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View all- Oh SChoi YKim SKim CJung KKim S(2020)A Real-Time Data Delivery for Mobile Sinks Group on Mobile Cyber-Physical SystemsApplied Sciences10.3390/app1017595010:17(5950)Online publication date: 27-Aug-2020
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