High Performance Cloud Systems and Secure Software Research Team

Research summary

The Cloud is a computing platform that securely provides computers, system development environments, and various services for education, business, and entertainment via the Internet leveraging virtualized large-scale computing resources in data centers.
The high-performance computer "Fugaku" and next-generation flagship systems are required to enable instant big data analysis, AI processing, and advanced simulations using various data obtained from IoT devices and experimental equipment, in addition to supporting conventional scientific computing. Furthermore, secure high-performance computing (HPC) technologies are required to address the cybersecurity risks associated with such flexible use.
Our research team is developing Cloud-HPC convergence platform technologies and secure software to realize safe and advanced high-performance computing on those platforms.
Specifically, we will enable highly efficient HPC infrastructure that adapts cloud-native technologies such as virtualization and container technologies to HPC, and advanced scientific computing that allows existing scientific computing to leverage cloud services such as data infrastructure, visualization environments, and generative AI. To ensure the safe use of these computing platforms, we are also working on high-performance secure system software that utilizes virtualization and a Trusted Execution Environment (TEE) based on hardware support. We aim to establish safe and advanced high-performance computing infrastructure technologies.

Representative papers

Masahiro Nakao, Hidetomo Kaneyama, Masaru Nagaku, Ikki Fujiwara, Atsuko Takefusa, Shinichi Miura, Keiji Yamamoto,
"Introducing Open OnDemand to Supercomputer Fugaku,"
Proc. the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, pp. 720-727, Nov., 2023.
Mingkang Chen, Jingtao Sun, Kento Aida, Atsuko Takefusa,
"Weather-aware object detection method for maritime surveillance systems,"
Future Generation Computer Systems, vol. 151, pp. 111-123, Sep, 2023.
Jie Yin, Yutaka Ishikawa, Atsuko Takefusa,
"A Linux Audit and MQTT-based Security Monitoring Framework,"
2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 648-657, Jun., 2023.
Naoya Kitagawa, Atsuko Takefusa, Kento Aida,
"Development of a Secure Data Sharing Mechanism for IoT Application Systems,"
Proc. 2022 IEEE 11th International Conference on Cloud Networking (CloudNet), pp. 131-135, Nov., 2022.
Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura, Hiroshi Nakamura, Kenjiro Taura, Tomohiro Kudoh, Toshihiro Hanawa, Yuji Sekiya, Hiroki Kobayashi, Shin Matsushima, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuke Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi,
"mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations,"
Proc. the 8th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2022), pp. 1-7, Sep., 2022.
Atsuko Takefusa, Jingtao Sun, Ikki Fujiwara, Hiroshi Yoshida, Kento Aida, Calton Pu,
"SINETStream: Enabling Research IoT Applications with Portability, Security and Performance Requirements,"
Proc. IT in Practice (ITiP) Symposium, COMPSAC 2021, pp. 482-492, Jul., 2021.
Chikako Takasaki, Atsuko Takefusa, Hidemoto Nakada, Masato Oguchi,
"A Study of Action Recognition Using Pose Data Toward Distributed Processing Over Edge and Cloud,"
Proc. the 11th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2019), pp. 111-118, Dec., 2019.
Kiyo Ishii, Atsuko Takefusa, Shu Namiki, Tomohiro Kudoh,
"Optical Network Resource Management Supporting Physical Layer Reconfiguration,"
Journal of Lightwave Technology, vol. 37, no. 21, pp. 5442-5454, Nov., 2019.
Atsuko Takefusa, Shigetoshi Yokoyama, Yoshinobu Masatani, Tomoya Tanjo, Kazushige Saga, Masaru Nagaku, Kento Aida,
"Virtual Cloud Service System for Building Effective Inter-Cloud Applications,"
Proc. IEEE CloudCom 2017, pp. 296-303, Dec., 2017.
Atsuko Takefusa, Jason H. Haga, Fumihiro Okazaki, Katsuhiko Ookubo, Seiya Yanagita, Ryousei Takano, Tomohiro Kudoh,
"IaaS Migration Using the FELIX Federated Testbed,"
Proc. 5th IEEE CloudNet, pp. 33-38, Oct., 2016.