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Quality of Service mechanisms and differentiated service classes are increasingly available in networks and servers. While network clients can assess their service by measuring basic performance parameters such as packet loss and delay, such measurements do not expose the network's core QoS functionality. In this paper, we develop a framework and methodology for enabling network clients to assess a system's multi-class mechanisms and parameters. Using hypothesis testing, maximum likelihooddoi:10.1109/infcom.2001.916623 dblp:conf/infocom/KuzmanovicK01 fatcat:f7wm6q4p3nefrgveyiobrdw6su