Article Abstract

	Title:	Information quality for network monitoring and analysis
	Author:	Jon R. Wright, James A. Pelletier, Tamraparni Dasu, Gregg T. Vesonder
	Address:	AT&T Labs – Research, 180 Park Ave, Florham Park, 07932 NJ, USA. ' AT&T Labs – Research, 180 Park Ave, Florham Park, 07932 NJ, USA. ' AT&T Labs – Research, 180 Park Ave, Florham Park, 07932 NJ, USA. ' AT&T Labs – Research, 180 Park Ave, Florham Park, 07932 NJ, USA
	Journal:	International Journal of Information Quality 2007 - Vol. 1, No.2  pp. 130 - 144
	Abstract:	Networks based on the Internet Protocol (IP) generate a large amount of technical data, making monitoring and analysis by administrators a tough problem that requires technical knowledge. Network monitoring and analysis as currently practiced are largely data-limited activities, and could be improved by supplying an integrated database of network data. We have been designing a collection system, named Amber, to address the information quality issues we have encountered in data needed to support management of IP networks. Our experiences in implementing Amber illustrate the importance of paying attention to and understanding the underlying data-generating processes.
	Keywords:	information quality; IP networks; network monitoring; network analysis; internet protocol; data generation.
	DOI:	10.1504/IJIQ.2007.014605
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