articleIEEE Transactions on Mobile ComputingFeb 11, 2025Closed access

Mobility-Aware Seamless Service Migration and Resource Allocation in Multi-Edge IoV Systems

ZCZheyi ChenSHSijin HuangGMGeyong MinZNZhaolong NingJLJie Li

Fuzhou University · University of Exeter · +3 more institutions

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Abstract

Mobile Edge Computing (MEC) offers low-latency and high-bandwidth support for Internet-of-Vehicles (IoV) applications. However, due to high vehicle mobility and finite communication coverage of base stations, it is hard to maintain uninterrupted and high-quality services without proper service migration among MEC servers. Existing solutions commonly rely on prior knowledge and rarely consider efficient resource allocation during the service migration process, making it hard to reach optimal performance in dynamic IoV environments. To address these important challenges, we propose SR-CL, a novel mobility-aware seamless Service migration and Resource allocation framework via Convex-optimization-enabled deep…

Citation impact

44
total citations
FWCI
53.27
Percentile
100%
References
40
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Authors

6

Topics & keywords

Topics
Keywords
  • Computer science
  • Computer network
  • Resource allocation
  • Enhanced Data Rates for GSM Evolution
  • Service (business)
  • Resource management (computing)
  • Distributed computing
  • Telecommunications
UN Sustainable Development Goals
  • Reduced inequalities
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