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Cloud System Research Lab

Mission

Information and Communication Technologies (hereinafter ICT) are indispensable for fundamental social infrastructure to support wide economic activity and people’s rich lifestyle. Cloud System Research Lab. leads the world top-level research in those ICT technologies.

Recently, two big innovations have progressed respectively in both of network and IT research area.

In the area of network technologies, Software Defined Network (hereinafter SDN) has rapidly progressed. SDN provides new network architecture where each optimal network space is instantly constructed based on the respective demand from each network service. We believe that SDN integrated with IT resource management  and control will be the common platform for cloud infrastructure. Cloud system research lab. leads the global top-level research in SDN, contributes to the 1st commercialized SDN product and actively proceeds various field trials with customers and academia.

In the area of IT technologies, efficient search and analysis of various real-time physical data is the key technology for managing and controlling social infrastructure. To keep ahead in this research area, we concentrate on the large-scale parallel processing and M2M/CPS technology with prominent universities, and we are also actively involved in field trials to get real user feedback for our technologies.

For leading research and development globally, all activities in US, Asia and  Japan have to be well organized and collaborated. In US, we promote seed-oriented research jointly with the world  top class universities and research institute. In Asia, we focus on demand base research and investigate common key requirement in global market.

We encountered various unexpected engineering problems in the Great East Japan Earthquake. Based on the experience, we are now pursuing researches for highly adaptive and flexible systems  by our ICT technologies for fundamental social infrastructure mentioned here.

Main Research Area

  • Software Defined Network
  • Big Data Processing Technology
  • Real world / M2M systems