論文

査読有り
2017年10月2日

Disaster avoidance control against heavy rainfall

Proceedings - IEEE INFOCOM
  • Hiroshi Saito
  • ,
  • Hirotada Honda
  • ,
  • Ryoichi Kawahara

開始ページ
1
終了ページ
9
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/INFOCOM.2017.8057154
出版者・発行元
IEEE

© 2017 IEEE. This paper proposes a disaster avoidance control method for use against heavy rainfall and discusses its effectiveness through actual weather data. The proposed control method uses geographical information data including weather data, hazard area data, and physical network data. By applying technologies related to meteorology, erosion control, and civil engineering to such data, the proposed method can evaluate the risk of a physical network being disconnected. On the basis of the evaluated risk, the proposed method reconfigures a logical network to reduce service disruption. The proposed method is applied to a cloud computing service network where, in addition to route changes, the relocation of virtual machines is possible, increasing its effectiveness. By using empirical data, we show that the proposed method reduces the probability of service disconnection to almost zero even for heavy rainfall causing landslides. Finally, an experimental system of the proposed method was implemented through software defined network technology and successfully controlled the experimental network.

リンク情報
DOI
https://doi.org/10.1109/INFOCOM.2017.8057154
DBLP
https://dblp.uni-trier.de/rec/conf/infocom/SaitoHK17
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85034029103&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85034029103&origin=inward
URL
http://dblp.uni-trier.de/db/conf/infocom/infocom2017.html#conf/infocom/SaitoHK17
ID情報
  • DOI : 10.1109/INFOCOM.2017.8057154
  • ISSN : 0743-166X
  • DBLP ID : conf/infocom/SaitoHK17
  • SCOPUS ID : 85034029103

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