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Inspired by several recent papers that focus on scheduling disciplines for network flows, we present a mean delay analysis of Multilevel Processor Sharing (MLPS) scheduling disciplines in the context of M/G/1 queues. Such disciplines have been proposed to model the effect of the differentiation between short and long TCP flows in the Internet. Under MLPS, jobs are classified into classes depending on their attained service. We consider scheduling disciplines where jobs within the same class aredoi:10.1145/1005686.1005701 dblp:conf/sigmetrics/AaltoAN04 fatcat:yzg74ohvuvfg3l5pm4flihpnuu