@article {16475,
	title = {Using Non-random Associations for Predicting Latency in WANs},
	journal = {Web Information Systems Engineering {\textendash} WISE 2005},
	year = {2005},
	month = {2005///},
	abstract = {In this paper, we propose a scalable performance management tool for Wide Area Applications. Our objective is to scalably identify non-random associations between pairs of individual Latency Profiles (iLPs) (i.e., latency distributions experienced by clients when connecting to a server) and exploit them in latency prediction. Our approach utilizes Relevance Networks (RNs) to manage tens of thousands of iLPs. Non-random associations between iLPs can be identified by topology-independent measures such as correlation and mutual information. We demonstrate that these non-random associations do indeed have a significant impact in improving the error of latency prediction.},
	doi = {10.1007/11581062_48},
	author = {Raschid, Louiqa and Ye,Q. and Zadorozhny,V. and Gal,A. and Murthy,H.}
}
