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Data mining middleware for wide-area high-performance networks

delete2006-10-01
delete5
PRE
AI
R
Robert L. Grossman *
Y
Yunhong Gu
D
David A. Hanley
M
Michal Sabala
J
Joe Mambretti
S
Szalay, Alex
K
Kazumi Kumazoe
Y
Yuji Oie
M
Minsun Lee
Y
Yoonjoo Kwon
DOI:10.1016/j.future.2006.03.024delete
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摘要

摘要

En 中文
In this paper, we describe two distributed, data intensive applications that were demonstrated at iGrid 2005 (iGrid Demonstration US 109 and iGrid Demonstration US121). One involves transporting astronomical data from the Sloan Digital Sky Survey (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. (c) 2006 Elsevier B.V. All rights reserved.
Keyword:
high-performance network protocols
high-performance networks
high performance data mining
data mining middleware
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期刊

F
Future Generation Computer Systems-The International Journal of eScience
IF:
6.1
论文数:
6.9K
被引数:
2.3W

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