Japan Geoscience Union Meeting 2022

Presentation information

[J] Oral

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

[M-GI35] Earth and planetary informatics with huge data management

Sun. May 22, 2022 10:45 AM - 12:15 PM 301B (International Conference Hall, Makuhari Messe)

convener:Ken T. Murata(National Institute of Information and Communications Technology), convener:Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Rie Honda(Department of Science and Technology, System of Natual Science, Kochi University), convener:Keiichiro Fukazawa(Academic Center for Computing and Media Studies, Kyoto University), Chairperson:Keiichiro Fukazawa(Academic Center for Computing and Media Studies, Kyoto University), Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology)

11:30 AM - 11:45 AM

[MGI35-10] STARSgis platform (1)

*Ken T. Murata1, Tomohiro Kawanabe1, Kazunori Yamamoto1, Yuki Murakami1, Kazuya Muranaga2 (1.National Institute of Information and Communications Technology, 2.Systems Engineering Consultants Co.,LTD. )

Keywords:STARS-GIS, SpatioTemporal data Analytic and Reciprocal Synchronization

We introduce our efforts so far regarding a GIS platform based on the STARS (SpatioTemporal data Analytic and Reciprocal Synchronization) technique, which could be the foundation of a digital data-oriented society. First, we introduce the CyberEarth concept and informatics as a fourth research method. We then describe the NICT Science Cloud and JHPCN wide-area distributed cloud, which are the big-data processing cloud systems. The STARS-GIS is a big-data platform for realizing the CyberEarth on the cloud, such as data transmission technologies, data crawling technologies, data management technologies, data processing technologies, and data visualization technologies for large-scale digital data. By providing both ecosystems and applications and then by mashing them up, users get easy environment to develop GIS applications for spatiotemporal data according to their own purposes on the platform. The Data Centric Cloud Service (DCCS), that is a new concept of NICT Testbed, is one of the target applications of the platform. We introduce a couple of development examples working on the platform: the Himawari Real-time and the Chikuma Apricot Project.