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A SCIENCE CLOUD FOR DATA INTENSIVE SCIENCES Ken T. Murata1*, Shinichi Watari1, Tsutomu Nagatsuma1, Manabu Kunitake1, Hidenobu Watanabe1, Kazunori Yamamoto1, Yasufumi Kubota1, Hisao Kato1, Takuya Tsugawa 1, Kentaro Ukawa1
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Document Date: 2013-06-14 03:58:15


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Amazon / K. (2001) Software / Google / Toyota / Tsyganenko N.A. / Microsoft / Systems Engineering Consultants Co. Ltd. / /

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Thailand / Japan / United States / /

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Research Institute / Kyushu University / National Institute of Information / /

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software system / software design / semantic web / famous cloud services / science/technology / Wide-area network systems / intensive data processing studies / data processing node / Virtual super-computing environment / data mining / long-term data processing / parallel processing / possible solutions / post-processing times / cloud systems / archive site / cluster systems / parallel computing environment / famous cloud systems / parallel data processing / data processing / 10Gbps network / science cloud systems / legacy systems / data processing system sites / post-processing / cloud computing / wide-area network / cloud services / /

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National Institute of Information / Research Institute for Information Technology / Communications Technology / National Institute of Information and Communications Technology / Medical School of Ehime Univ. / Space Weather and Environment Informatics Lab. / Integrated Science Data System Research Lab. / Kyushu University / Univ. of Tsukuba / /

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Takuya Tsugawa / /

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Walker / scientist / /

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Microsoft Azure / Gfarm (Grid Datafarm) / Windows Azure Platform / Gfarm / /

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Illinois / /

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Information Technology / Disk Drive / GPS / technology of cloud / HTTP / data mining / Gigabit / simulation / parallel processing / /

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