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旧尾家・塚本研究室です.尾家祐二 現・九州工業大学学長の情報は こちら.
   
研究業績


Data Mining middleware for wide-area high-performance networks 
著者
  Robert L. Grossman, Yunhong Gu, David Hanley, Michal Sabala, Joe Mambretti, Alex Szalay, Ani Thakar, Kazumi Kumazoe, Yuji Oie, Minsun Lee, Yoonjoo Kwon, Woojin Seok
 
雑誌名/会議名
  Future Generation Computer Systems, 22, pp.940-948 2006 年 5 月
 
アブストラクト
  In this paper, we describe two distributed, data intensive applications that were demonstrated at iGrid 2005(iGrid Demonstration US109 and iGrid Demonstration (US121). One involves transporting astronomical data from the Sloan Digital Sky Servey (SDSS) and the other involves computing histograms from multiple high-volume data streams. Both rely on newly developed data transport and data mining middleware. Specifically, we describe a new version of the UDT network protocol called Composible-UDT, a file transfer utility based upon UDT called UDT-Gateway, and an application for building histograms on high-volume data flows called BESH (for Best Effort Streaming Histogram). For both demonstrations, we include a summary of the experimental studies performed at iGrid 2005
 
キーワード
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記述言語
  English
 
 

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