Analysis on Characteristics of Vehicle and Parking Lot as a Datacenter
- Authors
- Kim, Taesik; Min, Hong; Park, Jisu; Lee, Jaeuk; Jung, 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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- Appears in
Collections - College of Engineering > Civil and Environmental Engineering > Journal Articles
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