Title
Peer-Assisted Content Delivery Network By Vehicular Clouds: Algorithm And Evaluation
Abstract
In this paper, we study how to improve the performance of content delivery networks (CDNs) using the novel concept of vehicular clouds. Our main idea is to use a cluster of connected vehicles (ie, vehicular clouds) to act as virtual servers in CDNs in order to relieve the workload of physical CDN servers. The key benefits include guaranteed content availability/reliability in terms of mean time between failures and optimized data storage workload at vehicular clouds. Workload is an important metric as it is directly related to the latency of content delivery. Specifically, we present a content placement algorithm that has an optimal workload at vehicular clouds. Finally, we verify the system efficacy using our own simulator based on simulation of urban mobility (SUMO) and Python.
Year
DOI
Venue
2019
10.1002/itl2.103
INTERNET TECHNOLOGY LETTERS
Keywords
Field
DocType
availability/reliability, CDN, micro-clouds, peer-assisted CDN, vehicular clouds
Content delivery network,Computer science,Computer network
Journal
Volume
Issue
ISSN
2
4
2476-1508
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Lewis Tseng117723.92
Juan Mantica200.34
James DeAntonis300.34
Takamasa Higuchi4219.22
Onur Altintas583768.68