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Peer‐assisted content delivery network by vehicular clouds: Algorithm and evaluation
Author(s) -
Tseng Lewis,
Mantica Juan,
DeAntonis James,
Higuchi Takamasa,
Altintas Onur
Publication year - 2019
Publication title -
internet technology letters
Language(s) - English
Resource type - Journals
ISSN - 2476-1508
DOI - 10.1002/itl2.103
Subject(s) - workload , computer science , server , cloud computing , content delivery , content delivery network , computer network , reliability (semiconductor) , python (programming language) , polling , key (lock) , latency (audio) , distributed computing , operating system , telecommunications , power (physics) , physics , quantum mechanics
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.