Takeshi Shibata

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This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensive workflows are increasingly becoming important applications for cluster and Grid environments. They open new challenges to various components of workflow execution environments(More)
—Distributing large data to many nodes, known as a broadcast or a multicast, is an important operation in parallel and distributed computing. Most previous broadcast algorithms explicitly or implicitly try to deliver data to all nodes in the same rate. While being reasonable for homogeneous environments where all nodes have similar receiving capababilities,(More)
—This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensive workflows are increasingly becoming important applications for cluster and Grid environments. They open new challenges to various components of workflow execution environments(More)
In Akita Prefecture located in the northeast region of Japan, many attractive folk dances have been passed down. However, several dances were lost due to the falling birthrate and depopulation of rural areas. This study proposes a method to obtain the information contributing to the restoration of the lost folk dances. Specifically, we estimate the motion(More)
Past research has suggested that the use of a foreign language worsen decision making because of the heavier cognitive load imposed by a foreign language than by a native language (Takano & Noda, 1993). We discovered, however, that the foreign language usage can be beneficial to decision making under information overload (when it is based upon a large(More)