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Analysis on Characteristics of Vehicle and Parking Lot as a Datacenter

Authors
Kim, TaesikMin, HongPark, JisuLee, JaeukJung, Jinman
Issue Date
2017
Publisher
IEEE
Keywords
VCC(Vehicular Cloud Computing); Data Center; Parking Space; Vehicular Networks
Citation
2017 4TH INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS AND INFORMATION PROCESSING TECHNOLOGY (CAIPT), pp.231 - 234
Journal Title
2017 4TH INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS AND INFORMATION PROCESSING TECHNOLOGY (CAIPT)
Start Page
231
End Page
234
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/28152
ISSN
2384-1435
Abstract
This Recently, vehicular cloud computing has been studied to take advantage of vehicular resources such as computing, storage and network in order to utilize them as a data center. In this paper, we analyze the parking lots as a datacenter and classify its types based on the properties required in the vehicular clouds. Through the case analysis of various parking lots, we study the dynamic environmental parameters that can affect the vehicle cloud performance. In the emerging trends of the electric vehicle, this results can be used as a preliminary analysis tool for vehicular cloud computing.
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