Vehicular Cloud Computing: A cost-effective alternative to Edge Computing in 5G networks
Rosario Patan\`e, Nadjib Achir, Andrea Araldo, Lila Boukhatem

TL;DR
This paper investigates whether Vehicular Cloud Computing (VCC) can replace Edge Computing (EC) for low-latency applications in 5G networks, highlighting conditions where VCC is feasible and cost-effective.
Contribution
It systematically analyzes the potential of VCC to substitute EC for low-latency tasks using extensive simulations and scenario assessments.
Findings
VCC can replace EC in most low-latency scenarios.
Extreme low-latency requirements (<16 ms) still necessitate EC.
Cost savings are significant when VCC is feasible.
Abstract
Edge Computing (EC) is a computational paradigm that involves deploying resources such as CPUs and GPUs near end-users, enabling low-latency applications like augmented reality and real-time gaming. However, deploying and maintaining a vast network of EC nodes is costly, which can explain its limited deployment today. A new paradigm called Vehicular Cloud Computing (VCC) has emerged and inspired interest among researchers and industry. VCC opportunistically utilizes existing and idle vehicular computational resources for external task offloading. This work is the first to systematically address the following question: Can VCC replace EC for low-latency applications? Answering this question is highly relevant for Network Operators (NOs), as VCC could eliminate costs associated with EC given that it requires no infrastructural investment. Despite its potential, no systematic study has yet…
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