研究業績

研究業績
‘Toward a Workload Allocation Optimizer for Power Saving in Data Centers’ IEEE International Conference on Cloud Engineering (IC2E), July,2019.

Ying-Feng Hsu, Hayato Kuwahara, Kazuhiro Matsuda, and Morito Matsuoka

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研究業績
‘Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification’ AIME 2019 17th Conference on Artificial Intelligence in Medicine, July,2019.

Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, an […]

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研究業績
‘A Novel Automated Tiered Storage Architecture for Achieving both Cost Saving and QoE‘ in Proceedings of IEEE SC2 2018, November 2018.

Ryo Irie, Ying-Feng Hsu, Shuuichirou Murata and Morito Matsuoka

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研究業績
‘High-Performance Sequence Analysis Engine for Shotgun Metagenomics Sequence comparison through GPU Acceleration’ in Proceedings of IEEE International Conference on Bioinformatics and Bioengineering (BIBE) 2018, October 2018.

Ying-Feng Hsu, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura

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研究業績
‘Consensus Building for users with various preference’ in Proceedings of ICT Convergence 2018, October 2018.

Yuya Tarutani

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研究業績
‘Dynamic power consumption prediction and optimization of data center by using deep learning and computational fluid dynamics’ in Proceedings of IEEE CloudNet 2018, October 2018.

Hayato Kuwahara, Ying-Feng Hsu, Kazuhiro Matsuda and Morito Matsuoka

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研究業績
‘A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification’ in Proceedings of IEEE Cloud 2018, July 2018.

Ying-Feng Hsu, Ryo Irie, Shuichiro Murata and Morito Matsuoka

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研究業績
‘Self-Aware Workload Forecasting in Data Center Power Prediction’ in Proceedings of IEEE CCGRID 2018, May 2018.

Ying-Feng Hsu, Kazuhiro Matsuda and Morito Matsuoka

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研究業績
‘Proposal of Cooling Method for HPC by Drip Feeding Cooling’ in Proceedings of ASHRAE 2018 Winter Conference, January 2018.

Morito Matsuoka and Yuichiro Miyake

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研究業績
‘Effective Cooling of Server Boards in Data Centers by Liquid Immersion Based on Natural Convection Demonstrating PUE below 1.04’ in Proceedings of ASHRAE 2018 Winter Conference, January 2018.

Morito Matsuoka, Kazuhiro Matsuda and Hideo Kubo

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