Japan Geoscience Union Meeting 2016

Presentation information


Symbol M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI21] Earth and planetary informatics with huge data management

Tue. May 24, 2016 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall HALL6)

Convener:*Ken T. Murata(National Institute of Information and Communications Technology), Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Tomoaki Hori(Institute for Space-Earth Environmental Research, Nagoya University), Eizi TOYODA(Forecast Department, Japan Meteorological Agency), Junya Terazono(The University of Aizu), Mayumi Wakabayashi(Kiso-Jiban Consultants Co.,Ltd), Takeshi Horinouchi(Faculty of Environmental Earth Science, Hokkaido University), Kazuo Ohtake(Japan Meteorological Agency)

5:15 PM - 6:30 PM

[MGI21-P08] High-performance and Real-time Processing of Sensing Data via NICT Science Cloud

*Kazuya Muranaga1, Ken T. Murata2, Kentaro Ukawa1, Junichi Murayama1, Yutaka Suzuki1, Kazunori Yamamoto2, Yoshiaki Nagaya2, Eizen Kimura3, Osamu Tatebe4, Masahiro Tanaka4 (1.Systems Engineering Consultants Co., LTD., 2.National Institute of Information and Communications Technology, 3.Department of Medical Informatics Ehime Univ., 4.University of Tsukuba)

In many scientific fields, most data are digitized and handled on computers and networks. The data files are getting larger in size and numbers. Science clouds, which are equipped with both flexibility and specialty applicable for countless scientific studies, are called upon to play important roles as an infrastructure of big-data sciences and inter-disciplinary studies. The NICT Science Cloud is designed to work with functions of data crawling and transfer, data preservation and management, and data processing and visualization. We have developed applications, tools, systems and services designed for these three functions (especially for Earth and space environmental sciences) installed on the NICT Science Cloud. By applying these functions to each sensing project, researchers are able to advance their studies. In this paper, we first introduce the NICT Science Cloud. We next report our 2-years applications of the cloud system based on several long durational satellite data processing. Finally, I propose a design to make progress of various types of sensing projects; real-time data processing and archived data processing of remote sensing and satellite observations.