mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations
Abstract
The growing amount of data and advances in data science have created a need for a new kind of cloud platform that provides users with flexibility, strong security, and the ability to couple with supercomputers and edge devices through high-performance networks. We have built such a nation-wide cloud platform, called "mdx" to meet this need. The mdx platform's virtualization service, jointly operated by 9 national universities and 2 national research institutes in Japan, launched in 2021, and more features are in development. Currently mdx is used by researchers in a wide variety of domains, including materials informatics, geo-spatial information science, life science, astronomical science, economics, social science, and computer science. This paper provides an the overview of the mdx platform, details the motivation for its development, reports its current status, and outlines its future plans.
Cite
@article{arxiv.2203.14188,
title = {mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations},
author = {Toyotaro Suzumura and Akiyoshi Sugiki and Hiroyuki Takizawa and Akira Imakura and Hiroshi Nakamura and Kenjiro Taura and Tomohiro Kudoh and Toshihiro Hanawa and Yuji Sekiya and Hiroki Kobayashi and Shin Matsushima and Yohei Kuga and Ryo Nakamura and Renhe Jiang and Junya Kawase and Masatoshi Hanai and Hiroshi Miyazaki and Tsutomu Ishizaki and Daisuke Shimotoku and Daisuke Miyamoto and Kento Aida and Atsuko Takefusa and Takashi Kurimoto and Koji Sasayama and Naoya Kitagawa and Ikki Fujiwara and Yusuke Tanimura and Takayuki Aoki and Toshio Endo and Satoshi Ohshima and Keiichiro Fukazawa and Susumu Date and Toshihiro Uchibayashi},
journal= {arXiv preprint arXiv:2203.14188},
year = {2022}
}