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Related Experiment Video

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

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Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration.

Lionel Nkenyereye¹, Lewis Nkenyereye¹, Bayu Adhi Tama²

¹Department of Computer and Information Security, Sejong University, Seoul 05006, Korea;lionelnk82@gmail.com (Lionel Nkenyereye).

Sensors (Basel, Switzerland)

|February 22, 2020

Summary

This summary is machine-generated.

Software-Defined Vehicular Cloud (SDVC) enhances cloud-based vehicular applications using virtual machine migration. This study analyzes SDVC architectures and compares VM migration frameworks for improved vehicular networking.

Keywords:

Cloud computing Multi-access edge cloud Software-defined vehicular cloud network Virtual Machine migration Virtualization cloud-based vehicular network vehicular cloud

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Area of Science:

Computer Science
Networking
Cloud Computing

Background:

Cloud computing enables advanced vehicular applications.
Software-Defined Vehicular Networks (SDVN) improve connectivity and bandwidth.
SD Vehicular Cloud (SDVC) integrates Software-Defined Networking (SDN) and virtualization in vehicles.

Purpose of the Study:

Analyze the evolution and architecture of SDVC.
Discuss cloud-based vehicular applications within SDVC.
Evaluate Virtual Machine (VM) migration scenarios and frameworks in SDVC.

Main Methods:

Literature review on SDVC evolution and architecture.
Analysis of VM migration challenges in highly mobile environments.
Comparative study of existing SDVC VM migration frameworks and network simulators.

Main Results:

SDVC architecture facilitates the deployment of cloud-based vehicular applications.
VM migration in SDVC is crucial for application performance but faces challenges due to high vehicle mobility.
A detailed comparison of current VM migration frameworks and their evaluation methods is provided.

Conclusions:

SDVC presents a promising architecture for next-generation vehicular cloud services.
Addressing VM migration challenges is key to realizing the full potential of SDVC.
Further research and development of robust VM migration strategies are needed for efficient SDVC operation.