Computer Science
Peer-assisted content delivery network by vehicular clouds: Algorithm and evaluation
Document Type
Article
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.
Publication Title
Internet Technology Letters
Publication Date
2019
Volume
2
Issue
4
DOI
10.1002/itl2.103
Keywords
availability/reliability, CDN, micro-clouds, peer-assisted CDN, vehicular clouds
Repository Citation
Tseng, Lewis; Mantica, Juan; DeAntonis, James; Higuchi, Takamasa; and Altintas, Onur, "Peer-assisted content delivery network by vehicular clouds: Algorithm and evaluation" (2019). Computer Science. 138.
https://commons.clarku.edu/faculty_computer_sciences/138
APA Citation
Tseng, L., Mantica, J., DeAntonis, J., Higuchi, T., & Altintas, O. (2019). Peer‐assisted content delivery network by vehicular clouds: Algorithm and evaluation. Internet Technology Letters, 2(4), e103.