A Unified Cloud Platform for Autonomous Driving.
Tailoring cloud support for each autonomous-driving application would require maintaining multiple infrastructures, potentially resulting in low resource utilization, low performance, and high management overhead. To address this problem, the authors present a unified cloud infrastructure with Spark...
| Publicado en: | Computer (00189162) Vol. 50; no. 12; pp. 42 - 50 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
IEEE
Dec2017
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=126886037&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 126886037 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Dec2017 vid: 50 iid: 12 pid: 13605 pub: IEEE artinfo: ui: 126886037 10.1109/MC.2017.4451224 ppf: 42 ppct: 8 formats: tig: atl: A Unified Cloud Platform for Autonomous Driving. aug: au: Liu, Shaoshan Tang, Jie Wang, Chao Wang, Quan Gaudiot, Jean-Luc affil: PerceptIn South China University of Technology Baidu University of California, Irvine su: Driverless cars Cloud computing Computing platforms SPARK (Computer program language) Alluxio (Company) Distributed computing Heterogeneous computing Energy consumption sug: subj: Driverless cars Cloud computing Computing platforms SPARK (Computer program language) Alluxio (Company) Distributed computing Heterogeneous computing Energy consumption keyword: Alluxio autonomous vehicles Baidu BinPipeRDD CNN convolution neural network distributed computing distributed storage Hadoop Hadoop Distributed File System HDFS heterogeneous computing LiDAR Linux Containers LXC map generation MapReduce model training OpenCL Paddle Parallel Distributed Deep Learning RDD resilient distributed dataset Robot Operating System ROS self-driving cars simulation testing Spark YARN ab: Tailoring cloud support for each autonomous-driving application would require maintaining multiple infrastructures, potentially resulting in low resource utilization, low performance, and high management overhead. To address this problem, the authors present a unified cloud infrastructure with Spark for distributed computing, Alluxio for distributed storage, and OpenCL to exploit heterogeneous computing resources for enhanced performance and energy efficiency. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2017 holdings: @attributes: islocal: N |
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