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

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. • Vehicular edge network modeling establish foundation for simulator design • Modular architecture and rich APIs enable flexible simulator customization • Realistic-enhanced mechanisms replicate heterogeneous access patterns • In-depth experiments validate VEC-Sim’s feasibility and effectiveness

Authors

Institutions

Publication Details

Journal
Computer Networks
Published
2024-12-21
DOI
https://doi.org/10.1016/j.comnet.2024.110985
Citations
1
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Xiaolong Xu, Muhammad Bilal, Hao Cheng, Siyu Wu et al.
1 citations
Computer Networks
Vehicular Ad Hoc Networks (VANETs)
0.21
article

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

Xiaolong Xu, Muhammad Bilal, Hao Cheng, Siyu Wu, Xiangwei Wang, Fan Wu
article en
1 citations

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’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. • Vehicular edge network modeling establish foundation for simulator design • Modular architecture and rich APIs enable flexible simulator customization • Realistic-enhanced mechanisms replicate heterogeneous access patterns • In-depth experiments validate VEC-Sim’s feasibility and effectiveness

Computer NetworksVol. 257
Nanjing University of Information Science and Technology (CN), Lancaster University (GB)
National Natural Science Foundation of China, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Natural Science Foundation of Jiangsu Province
Openalex Percentile: Top 45%
Vehicular Ad Hoc Networks (VANETs)
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.