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A Survey on Service Migration Strategies for Vehicular Edge Computing

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Big Data and Security (ICBDS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1563))

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Abstract

Vehicular Edge Computing (VEC) is a promising technology to place services on side of the road to improve the quality of service (QoS) for users. It has advantages over cloud computing in terms of user-perceived latency, security and communication costs. However, due to the mobility of the vehicle and the limited coverage of the edge server, once the vehicle leaves the coverage of the edge server, it will lead to the decrease of the quality of service and the improvement of communication cost. Service migration is expected to solve this problem. The main idea is to continuously move the service to a location close to the vehicle. Due to the dynamically changing network environment, it is a huge challenge to design the optimal migration strategy. To better and quickly know related works, we conduct a survey on service migration strategies for VEC. This paper first introduces the concept of service migration and related technologies. Then the works on migration strategies in recent years are summarized and divided into two categories. One category is based on current location and the other category is based on trajectory information. Finally, some open challenges in service migration strategies are presented.

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Acknowledgement

This work is supported by Qin Xin Talents Cultivation Program, Beijing Information Science & Technology University (No. QXTCP C202111).

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Authors and Affiliations

  1. School of Computer, Beijing Information Science and Technology University, Beijing, China

    Zhiwen Song, Yanfang Fan & Ying Cai

Authors
  1. Zhiwen Song
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  2. Yanfang Fan
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  3. Ying Cai
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Corresponding author

Correspondence to Zhiwen Song .

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Editors and Affiliations

  1. Nanjing Institute of Technology, Nanjing, China

    Yuan Tian

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Tinghuai Ma

  3. King Saud University, Riyadh, Saudi Arabia

    Muhammad Khurram Khan

  4. Texas Tech University, Lubbock, TX, USA

    Victor S. Sheng

  5. Tianjin University, Tianjin, China

    Zhaoqing Pan

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Song, Z., Fan, Y., Cai, Y. (2022). A Survey on Service Migration Strategies for Vehicular Edge Computing. In: Tian, Y., Ma, T., Khan, M.K., Sheng, V.S., Pan, Z. (eds) Big Data and Security. ICBDS 2021. Communications in Computer and Information Science, vol 1563. Springer, Singapore. https://doi.org/10.1007/978-981-19-0852-1_37

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  • DOI: https://doi.org/10.1007/978-981-19-0852-1_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0851-4

  • Online ISBN: 978-981-19-0852-1

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