@inproceedings{TD-76HL5K,
	address={New York, NY, USA},
	att_abstract={We present LiveRAC, a visualization system that supports the analysis of large collections of system management time-series data consisting of hundreds of parameters across thousands of network devices. LiveRAC provides high information density using a reorderable matrix of charts, with semantic zooming adapting each chart's visual representation to the available space. LiveRAC allows side-by-side visual comparison of arbitrary groupings of devices and parameters at multiple levels of detail. A staged design and development process culminated in the deployment of LiveRAC in a production environment. We conducted an informal longitudinal evaluation of LiveRAC to better understand which proposed visualization techniques were most useful in the target environment.},
	att_authors={sn1789, ek1835},
	att_categories={C_IIS.7,C_IIS.9},
	att_copyright={},
	att_copyright_notice={},
	att_private={false},
	att_projects={IV_INFOVIS,IV_SWIFT},
	att_techdoc={true},
	att_techdoc_key={TD-76HL5K},
	att_url={http://www.research.att.com/areas/visualization/papers_videos/pdf/DBLP-conf-chi-McLachlanMKN08.pdf},
	author={Stephen North, Eleftherios Koutsofios, Peter McLachlan, Tamara Munzner},
	booktitle={CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems},
	doi={http://doi.acm.org/10.1145/1357054.1357286},
	isbn={978-1-60558-011-1},
	location={Florence, Italy},
	pages={1483--1492},
	publisher={ACM},
	title={LiveRAC: interactive visual exploration of system management time-series data
},
	year=2008,
}