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VEC-Sim: A simulation platform for evaluating service caching and computation offloading policies in Vehicular Edge Networks

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VEC-Sim: A simulation platform for evaluating service caching and computation offloading policies in Vehicular Edge Networks. / Wu, Fan; Xu, Xiaolong; Bilal, Muhammad et al.
In: Computer Networks, Vol. 257, 110985, 28.02.2025.

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Wu F, Xu X, Bilal M, Wang X, Cheng H, Wu S. VEC-Sim: A simulation platform for evaluating service caching and computation offloading policies in Vehicular Edge Networks. Computer Networks. 2025 Feb 28;257:110985. Epub 2024 Dec 30. doi: 10.1016/j.comnet.2024.110985

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@article{23e361f73b964fcbbc4a50da81dc3f5d,
title = "VEC-Sim: A simulation platform for evaluating service caching and computation offloading policies in Vehicular Edge Networks",
abstract = "Computer simulation platforms offer an alternative solution by emulating complex systems in a controlled manner. However, existing Edge Computing (EC) simulators, as well as general-purpose vehicular network simulators, are not tailored for VEC and lack dedicated support for modeling the distinct access pattern, entity mobility trajectory and other unique characteristics of VEC networks. To fill this gap, this paper proposes VEC-Sim, a versatile simulation platform for in-depth evaluation and analysis of various service caching and computation offloading policies in VEC networks. VEC-Sim incorporates realistic mechanisms to replicate real-world access patterns, including service feature vector, vehicle mobility modeling, evolving service popularity, new service upload and user preference shifts, etc. Moreover, its modular architecture and extensive Application Programming Interfaces (APIs) allow seamless integration of customized scheduling policies and user-defined metrics. A comprehensive evaluation of VEC-Sim{\textquoteright}s capabilities is undertaken in comparison to real-world ground truths. Results prove it to be accurate in reproducing classical scheduling algorithms and extremely effective in conducting case studies.",
author = "Fan Wu and Xiaolong Xu and Muhammad Bilal and Xiangwei Wang and Hao Cheng and Siyu Wu",
year = "2025",
month = feb,
day = "28",
doi = "10.1016/j.comnet.2024.110985",
language = "English",
volume = "257",
journal = "Computer Networks",
issn = "1389-1286",
publisher = "ELSEVIER SCIENCE BV",

}

RIS

TY - JOUR

T1 - VEC-Sim

T2 - A simulation platform for evaluating service caching and computation offloading policies in Vehicular Edge Networks

AU - Wu, Fan

AU - Xu, Xiaolong

AU - Bilal, Muhammad

AU - Wang, Xiangwei

AU - Cheng, Hao

AU - Wu, Siyu

PY - 2025/2/28

Y1 - 2025/2/28

N2 - Computer simulation platforms offer an alternative solution by emulating complex systems in a controlled manner. However, existing Edge Computing (EC) simulators, as well as general-purpose vehicular network simulators, are not tailored for VEC and lack dedicated support for modeling the distinct access pattern, entity mobility trajectory and other unique characteristics of VEC networks. To fill this gap, this paper proposes VEC-Sim, a versatile simulation platform for in-depth evaluation and analysis of various service caching and computation offloading policies in VEC networks. VEC-Sim incorporates realistic mechanisms to replicate real-world access patterns, including service feature vector, vehicle mobility modeling, evolving service popularity, new service upload and user preference shifts, etc. Moreover, its modular architecture and extensive Application Programming Interfaces (APIs) allow seamless integration of customized scheduling policies and user-defined metrics. A comprehensive evaluation of VEC-Sim’s capabilities is undertaken in comparison to real-world ground truths. Results prove it to be accurate in reproducing classical scheduling algorithms and extremely effective in conducting case studies.

AB - Computer simulation platforms offer an alternative solution by emulating complex systems in a controlled manner. However, existing Edge Computing (EC) simulators, as well as general-purpose vehicular network simulators, are not tailored for VEC and lack dedicated support for modeling the distinct access pattern, entity mobility trajectory and other unique characteristics of VEC networks. To fill this gap, this paper proposes VEC-Sim, a versatile simulation platform for in-depth evaluation and analysis of various service caching and computation offloading policies in VEC networks. VEC-Sim incorporates realistic mechanisms to replicate real-world access patterns, including service feature vector, vehicle mobility modeling, evolving service popularity, new service upload and user preference shifts, etc. Moreover, its modular architecture and extensive Application Programming Interfaces (APIs) allow seamless integration of customized scheduling policies and user-defined metrics. A comprehensive evaluation of VEC-Sim’s capabilities is undertaken in comparison to real-world ground truths. Results prove it to be accurate in reproducing classical scheduling algorithms and extremely effective in conducting case studies.

U2 - 10.1016/j.comnet.2024.110985

DO - 10.1016/j.comnet.2024.110985

M3 - Journal article

VL - 257

JO - Computer Networks

JF - Computer Networks

SN - 1389-1286

M1 - 110985

ER -