論文

査読有り
2016年11月

Long distance fast data transfer experiments for the ITER Remote Experiment

FUSION ENGINEERING AND DESIGN
  • Kenjiro Yamanaka
  • ,
  • Hideya Nakanishi
  • ,
  • Takahisa Ozeki
  • ,
  • Shunji Abe
  • ,
  • Shigeo Urushidani
  • ,
  • Takashi Yamamoto
  • ,
  • Hideo Ohtsu
  • ,
  • Noriyoshi Nakajima

112
開始ページ
1063
終了ページ
1067
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.fusengdes.2016.07.008
出版者・発行元
ELSEVIER SCIENCE SA

Developing effective and fast data transfer system for the huge amount data between Europe and Japan is a critical issue for the ITER Remote Experimentation Center (REC). To implement the system, effective data transfer methods and wide bandwidth international network are required.
This paper describes results of data transfer experiments. We have evaluated two data transfer methods: Packet Pacing and MMCFTP. By using Packet Pacing and 2.4 Gbps line, we achieved 2.2 Gbps data transfer from NIFS to IFERC. By using MMCFTP and 10 Gbps line, we achieved 2.5 Gbps data transfer from NIFS to Dublin, Ireland. Furthermore, by using MMCFTP and 100Gbps line, we successfully achieved the stable transmission of 1PB of data at approximately 84 Gbps, one of the world's fastest transmission speeds.
This paper also describes the upgrade plan of SINET (a Japanese academic backbone network), which is used for ITER and REC communications. SINET will be upgraded to the network based on 100-Gigabit Ethernet technology in April 2016. Furthermore, direct lines of 20 Gbps (10 Gbps x 2) between Japan and Europe will be introduced. These direct lines will reduce latency between Europe and Japan and will realize higher speed data transfer. (C) 2016 Elsevier B.V. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.fusengdes.2016.07.008
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000387836800169&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.fusengdes.2016.07.008
  • ISSN : 0920-3796
  • eISSN : 1873-7196
  • Web of Science ID : WOS:000387836800169

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