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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Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 66; H. 12; S. 10660 - 10675
Hauptverfasser:	Feng, Jingyun, Liu, Zhi, Wu, Celimuge, Ji, Yusheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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