Temporal locality in IP destination address sequences can be captured by the addresses' reuse distance distribution. Based on measurements from data for a wide range of networks, we propose an accurate empirical model in contrast to results derived from the stationarity assumption of address generation processes.
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Weiguang SHI, Mike H. MACGREGOR, Pawel GBURZYNSKI, "On Temporal Locality in IP Address Sequences" in IEICE TRANSACTIONS on Communications,
vol. E86-B, no. 11, pp. 3352-3354, November 2003, doi: .
Abstract: Temporal locality in IP destination address sequences can be captured by the addresses' reuse distance distribution. Based on measurements from data for a wide range of networks, we propose an accurate empirical model in contrast to results derived from the stationarity assumption of address generation processes.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e86-b_11_3352/_p
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@ARTICLE{e86-b_11_3352,
author={Weiguang SHI, Mike H. MACGREGOR, Pawel GBURZYNSKI, },
journal={IEICE TRANSACTIONS on Communications},
title={On Temporal Locality in IP Address Sequences},
year={2003},
volume={E86-B},
number={11},
pages={3352-3354},
abstract={Temporal locality in IP destination address sequences can be captured by the addresses' reuse distance distribution. Based on measurements from data for a wide range of networks, we propose an accurate empirical model in contrast to results derived from the stationarity assumption of address generation processes.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - On Temporal Locality in IP Address Sequences
T2 - IEICE TRANSACTIONS on Communications
SP - 3352
EP - 3354
AU - Weiguang SHI
AU - Mike H. MACGREGOR
AU - Pawel GBURZYNSKI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2003
AB - Temporal locality in IP destination address sequences can be captured by the addresses' reuse distance distribution. Based on measurements from data for a wide range of networks, we propose an accurate empirical model in contrast to results derived from the stationarity assumption of address generation processes.
ER -