V-WorkGen: Virtual Workload Generation Tool for Connected Automotive Services

Yin Chen Liu, Baek Gyu Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Connected car is one of the major trends in the auto-motive industry to provide users with advanced services to improve driving quality and safety. For example, a predictive maintenance service identifies any malfunction of vehicles by analyzing sensor data sent from them; High-Definition (HD) map can be constructed by collecting sensor data from multiple vehicles, and distributed to them to enhance the quality of any autonomous features.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Big Data, Big Data 2020
EditorsXintao Wu, Chris Jermaine, Li Xiong, Xiaohua Tony Hu, Olivera Kotevska, Siyuan Lu, Weijia Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1780-1783
Number of pages4
ISBN (Electronic)9781728162515
DOIs
StatePublished - 10 Dec 2020
Event8th IEEE International Conference on Big Data, Big Data 2020 - Virtual, Atlanta, United States
Duration: 10 Dec 202013 Dec 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Big Data, Big Data 2020

Conference

Conference8th IEEE International Conference on Big Data, Big Data 2020
Country/TerritoryUnited States
CityVirtual, Atlanta
Period10/12/2013/12/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

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