AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling

With the emergence of in-vehicle applications, providing the required computational capabilities is becoming a crucial problem. This paper proposes a framework named autonomous vehicular edge (AVE) for edge computing on the road, with the aim of increasing the computational capabilities of vehicles...

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Bibliographic Details

Published in:	IEEE transactions on vehicular technology Vol. 66; no. 12; pp. 10660 - 10675
Main Authors:	Feng, Jingyun, Liu, Zhi, Wu, Celimuge, Ji, Yusheng
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Ant colony optimization Caching Cloud computing Computer simulation Edge computing Idling job scheduling Operations research Scheduling Scheduling algorithms Vehicles vehicular network Workflow
ISSN:	0018-9545, 1939-9359
Online Access:	Get full text
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