• Assistant Professor
• Global Scientific Information and Computing Center
• Tokyo Institute of Technology
• E-mail: hitoshi.sato at gsic.titech.ac.jp

Research Interests

High-Performance Data-Intensive Computing

• Data management techniques in clouds and grids using file replication and VM migration
• Accelerated MapReduce for next-gen supercomputers
• I/O optimization in parallel striping filesystems
• Hierarchical data management in cooperation with parallel striping filesystems and tape libraries

Publications

Papers

• Sumeth Lerthirunwong, Hitoshi Sato, and Satoshi Matsuoka. "Multi-Ring Structured Overlay Network for the Inter-Cloud Computing Environment" In Proceedings of the 1st International Conference on Cloud Computing and Services Science (CLOSER 2011), pp. 5-14, Noordwijkerhout, the Netherlands, May, 2011.
• Koichi Shirahata, Hitoshi Sato, and Satoshi Matsuoka. "Hybrid Map Task Scheduling for GPU-based Heterogeneous Clusters" In Proceedings of the 1st International Workshop on Theory and Practice of MapReduce (MAPRED'2010), pp. 466-471, Indianapolis, USA, November 2010.
• Kento Sato, Hitoshi Sato, and Satoshi Matsuoka. "A Model-Based Algorithm for Optimizing I/O Intensive Applications in Clouds Using VM-Based Migration". In Proceedings of the 1st International Workshop on Cloud Computing (Cloud2009), pp. 466-471, Shanghai, China, May 2009.
• Hitoshi Sato, Satoshi Matsuoka, and Toshio Endo. "File Clustering Based Replication Algorithm in a Grid Environment". In Proceedings of the 9th IEEE International Symposium on Computing and the Grid (CCGrid2009), pp. 204-211, Shanghai, China, May 2009.
• Hitoshi Sato, Satoshi Matsuoka, Toshio Endo, and Naoya Maruyama. "Access-Pattern and Bandwidth Aware File Replication Algorithm in a Grid Environment". In Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid2008), pp. 250-257, Tsukuba, Japan, September 2008.
• Hidemoto Nakada, Hitoshi Sato, Kazushige Saga, Masayuki Hatanaka, Yuji Saeki, and Satoshi Matsuoka. "Job Invocation interoperability between NAREGI Middleware Beta and gLite". In Proceedings of HPC Asia 2007, pp. 151-158, Seoul, Korea, September 2007.
• Hitoshi Sato, Satoshi Matsuoka. "Data Management on Grid Filesystem for Data-Intensive Computing". In Proceedings of the 2007 International Symposium on Applications and the Internet Workshops on Middleware Architecture in the Internet, pp. 36-39, Hiroshima, Japan, January 2007.

Posters

• Kento Sato, Hitoshi Sato, and Satoshi Matsuoka. “Model-based Optimization for Data-Intensive Application on Virtual Cluster”. In Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid2008), pp. 367-368, 2008.

Curriculum Vitae

Education

Mar.2009,	Doctor of Science, Tokyo Institute of Technology (Supervisor: Prof. Satoshi Matsuoka).
Mar.2005,	Master of Science, Tokyo Institute of Technology (Supervisor: Prof. Satoshi Matsuoka).
Mar.2003,	Bachelor of Science, Tokyo Institute of Technology (Supervisor: Prof. Satoshi Matsuoka).

Computer Skills

• Languages: C, C++, Java, Python, Ruby, Shell Script, Awk, Sed, Perl.
• Middlewares and Libraries: Filesystems (FUSE, Lustre, HDFS, Gfarm, SRB), Job schedulers (Condor, SGE, Torque), MapReduce systems (Hadoop, Mars), Grid middlewares (Globus Toolkit, gLite, Naregi, Ninf-G, GXP), MPI, POSIX Thread, CUDA, and Cluster administration(NPACI Rocks, Lucie).
• Operating Systems: Unixen(Linux and Mac), Windows.

Working Experience

Apr.2010 - Present,	Assistant Professor, Global Scientific Information and Computing Center, Tokyo Institute of Technology.
Apr.2009 - Mar.2010,	Postdoctoral Fellow, Global Scientific Information and Computing Center, Tokyo Institute of Technology.
Aug.2008 - Mar.2009,	Research Assistant of the JSPS Global COE Program "Computationism as a Foundation for the Sciences".
Jul.2006 - Sep.2006,	CERN openlab student programee research internship.
Jul.2005 - Jul.2008,	Research Assistant of the JSPS 21st Century COE Program "Framework for Systematization and Application of Large-scale Knowledge Resources".

Awards

Nov.2005,

SC2005 StorCloud Challenge "Award for Most Innovative Use of Storage In Support of Science".