日本地球惑星科学連合2018年大会

講演情報

[JJ] ポスター発表

セッション記号 M (領域外・複数領域) » M-GI 地球科学一般・情報地球科学

[M-GI26] 情報地球惑星科学と大量データ処理

2018年5月21日(月) 15:30 〜 17:00 ポスター会場 (幕張メッセ国際展示場 7ホール)

コンビーナ:村田 健史(情報通信研究機構)、堀之内 武(北海道大学地球環境科学研究院)、本田 理恵(高知大学自然科学系理工学部門、共同)、野々垣 進(国立研究開発法人 産業技術総合研究所 地質情報研究部門 情報地質研究グループ)

[MGI26-P01] ひまわりリアルタイムWebの国際展開

*Pavarangkoon Praphan1村田 健史1山本 和憲1村永 和哉2樋口 篤志3長屋 嘉明4木村 映善5水原 隆道6影山 佑哉6Charnsripinyo Chalermpol7Nupairoj Natawut8池田 貴俊9田中 仁9 (1.情報通信研究機構、2.株式会社セック、3.千葉大学環境リモートセンシング研究センター、4.総務省、5.愛媛大学医学部、6.株式会社クレアリンクテクノロジー、7.タイ国立電子コンピューター技術研究センター、8.チュラーロンコーン大学、9.KDDI株式会社)

The third-generation meteorological satellites equipped with highly-improved imagers provide a large amount of Earth observation data. The Himawari-8 satellite is the first unit of the Japan Meteorological Agency's third-generation meteorological satellite. After its starting operation in 2015, there are many websites that provide remotely sensed images in real time. In general, the real-time and full-resolution websites are hard to be developed due to the large amount of data to be transferred. The Himawari-8 real-time web provided by the National Institute of Information and Communications Technology (NICT) is only a website that provides remotely sensed images with full resolution in real time. However, to reduce network traffic and increase the access speed of it from other countries out of Japan, mirror websites of each country are needed. This paper presents a mirroring system of the Himawari-8 real-time web. We propose a model for mirroring to avoid the CPU power consumption problem of big data processing in the mirror websites. In addition, we also introduce a file copy tool based on high-performance and flexible protocol (HpFP) to transfer meteorological satellite data between the Himawari-8 real-time web and the mirror websites. The contribution of this paper is to provide a cost-effective solution for the mirror websites. Our first target is an institution in Thailand connected via an international network, called the Asia Pacific Advanced Network (APAN). The results show that the proposed mirroring system is able to overcome the big data issue by eliminating the CPU power consumption in the mirror websites and transferring data files at high speed over the international network even under packet loss conditions. This suggests that our mirroring system has a potential for deployment in other Asian countries.