Cover Image
QR Code

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...

Full description

Published in:Computer (00189162) Vol. 50; no. 12; pp. 42 - 50
Main Authors: Liu, Shaoshan, Tang, Jie, Wang, Chao, Wang, Quan, Gaudiot, Jean-Luc
Format: Article
Published: IEEE Dec2017
Subjects:
Driverless cars
Cloud computing
Computing platforms
SPARK (Computer program language)
Alluxio (Company)
Distributed computing
Heterogeneous computing
Energy consumption
Online Access:View this record in EBSCOhost
Summary: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.