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Experimental measurements show that Internet traffic exhibits self-similarity and long-range dependence (LRD). A delicate issue is the estimation of traffic statistical quantities that characterize self-similarity and LRD, such as the Hurst parameter H. In this paper, we propose to use the Modified Allan Variance (MAVAR), a well-known time-domain tool originally studied for frequency stability characterization, for estimating the power-law spectrum and thus the H parameter of LRD traffic timedoi:10.1109/glocom.2004.1378215 dblp:conf/globecom/BregniP04 fatcat:g5rfsege7fde5lsffx5iohyitm