Zhang, Y, Zhang, M, Wo, T et al. (3 more authors) (2018) A Scalable lnternet-of-Vehicles Service over Joint Clouds. In: 2018 IEEE Symposium on Service-Oriented System Engineering (SOSE). 2018 IEEE Symposium on Service-Oriented System Engineering (SOSE), 26-29 Mar 2018, Bamberg, Germany. IEEE , pp. 210-215. ISBN 978-1-5386-5208-4
Abstract
Since the Internet of Vehicles (IoV) technology has recently attracted huge research attention, IoV services that can collect, process data and further provision services are increasingly becoming the mainstream. Considering the process efficiency, geo-distributed data is typically collected and exploited on different Clouds, making it significantly essential for IoV application to be deployed on multiple Clouds whilst system components still function well and jointly work. In this paper, we provide a scalable IoV system deployment in the joint Cloud environment where cloud vendors collaboratively cooperate as an alliance. In particular, system components are independently deployed in accordance with the data placement and resource capacities etc. A multi-replication mechanism is utilized to achieve the cross-cloud parallel processing, thereby effectively handling the scalability issues in the massive-scale vehicle data processing. Furthermore, we adopt the multi-source data fusion to facilitate the accuracy of IoV data analytics. We demonstrate the effectiveness of the proposed approaches through real-world use cases including fleet distribution management and passenger demands prediction.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | internet of vehicles, joint cloud, distributed computing, big data |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Oct 2020 14:43 |
Last Modified: | 25 Jun 2023 22:28 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/sose.2018.00035 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166994 |