Work

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

Year: 2024

Type: article

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

Source: Computer Networks

DOI: 10.1016/j.comnet.2024.110985

Authors: Fan Wu, Xiaolong Xu, Muhammad Bilal, Xiangwei Wang, Hao Cheng, Siyu Wu

Institutions: Nanjing University of Information Science and Technology, Lancaster University

Language: English

Topic: Caching and Content Delivery

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

Estimated APC paid: $2,390