Osaka Univ. Cybermedia Center Advanced Network Environment Department
【Joint Course】Osaka Univ. Information Technology Graduate School
Information Network Major Ubiquitous Network Course

Matsuoka Lab

About us

With rapid development of social structure, generated by wide spread of Internet of Things(IoT) and advanced application of IT in social infrastructure, a vast amount of data such as sensor and device information needs to be properly managed at data centers.
Tackling the global warming issues such as reducing greenhouse gas emissions and power consumption has been a social mega-trend, and the power consumption reduction at data centers is no exception.
In our laboratory, we aim to make a positive contribution to the society by making the data center meet the strict requirements with the utilization of AI and virtualization technology; precisely constructing an optimal air conditioning system & task assignment system.

We are also collaborating with several enterprises in order to meet the needs of society and also follow the current trends.

Our Strength

Research with a strong awareness of actual use cases

Active discussion with enterprises on a regular basis

Experiment using real data

Using raw data of real data centers
Demonstration tests using various sensors

Comfortable research environment

Provision of PCs, laptops and other necessary equipment
Support for travel expenses, etc.

Rich research support

Regular research progress meetings
Weekly journal club in English, Machine learning study group
Other study sessions, presentation practices etc.

Gallery

Research

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

    Yuya Tarutani
  • ‘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
  • ‘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
  • ‘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
  • ‘Proposal of Cooling Method for HPC by Drip Feeding Cooling’ in Proceedings of ASHRAE 2018 Winter Conference, January 2018.

    Morito Matsuoka and Yuichiro Miyake
  • ‘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
  • ‘Liquid immersion cooling technology with natural convection in data center’ in Proceedings of IEEE CloudNet 2017, September 2017.

    Morito Matsuoka, Kazuhiro Matsuda and Hideo Kubo
  • ‘High-Performance Virus Detection System by using Deep Learning' IEEE WCCI 2020 Coference, July,2020.

    Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka and Shota Nakamura

Member

Coworkers

Contact


〒560-0043 Toyonaka1-32
Osaka University Cybermedia Center 7F

Prof. Matsuoka:06-6850-6860
Secretary:06-6850-6867(FAX:06-6850-6868)