The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cette lettre propose une nouvelle méthode d'estimation de matrice de trafic IP (TM) à grande échelle, appelée inférence par technique de reconstruction algébrique (ARTI), basée sur la mesure de flux partiel et le modèle Fratar. Contrairement aux méthodes précédentes, ARTI peut capturer avec précision les corrélations spatio-temporelles de la MT. De plus, ARTI est simple sur le plan informatique puisqu’il utilise la technique de reconstruction algébrique. Nous utilisons les données réelles du réseau Abilene pour valider ARTI. Les résultats de la simulation montrent qu'ARTI peut estimer avec précision l'IP TM à grande échelle et suivre sa dynamique.
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Dingde JIANG, Guangmin HU, "An Accurate Approach to Large-Scale IP Traffic Matrix Estimation" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 1, pp. 322-325, January 2009, doi: 10.1587/transcom.E92.B.322.
Abstract: This letter proposes a novel method of large-scale IP traffic matrix (TM) estimation, called algebraic reconstruction technique inference (ARTI), which is based on the partial flow measurement and Fratar model. In contrast to previous methods, ARTI can accurately capture the spatio-temporal correlations of TM. Moreover, ARTI is computationally simple since it uses the algebraic reconstruction technique. We use the real data from the Abilene network to validate ARTI. Simulation results show that ARTI can accurately estimate large-scale IP TM and track its dynamics.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.322/_p
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@ARTICLE{e92-b_1_322,
author={Dingde JIANG, Guangmin HU, },
journal={IEICE TRANSACTIONS on Communications},
title={An Accurate Approach to Large-Scale IP Traffic Matrix Estimation},
year={2009},
volume={E92-B},
number={1},
pages={322-325},
abstract={This letter proposes a novel method of large-scale IP traffic matrix (TM) estimation, called algebraic reconstruction technique inference (ARTI), which is based on the partial flow measurement and Fratar model. In contrast to previous methods, ARTI can accurately capture the spatio-temporal correlations of TM. Moreover, ARTI is computationally simple since it uses the algebraic reconstruction technique. We use the real data from the Abilene network to validate ARTI. Simulation results show that ARTI can accurately estimate large-scale IP TM and track its dynamics.},
keywords={},
doi={10.1587/transcom.E92.B.322},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - An Accurate Approach to Large-Scale IP Traffic Matrix Estimation
T2 - IEICE TRANSACTIONS on Communications
SP - 322
EP - 325
AU - Dingde JIANG
AU - Guangmin HU
PY - 2009
DO - 10.1587/transcom.E92.B.322
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2009
AB - This letter proposes a novel method of large-scale IP traffic matrix (TM) estimation, called algebraic reconstruction technique inference (ARTI), which is based on the partial flow measurement and Fratar model. In contrast to previous methods, ARTI can accurately capture the spatio-temporal correlations of TM. Moreover, ARTI is computationally simple since it uses the algebraic reconstruction technique. We use the real data from the Abilene network to validate ARTI. Simulation results show that ARTI can accurately estimate large-scale IP TM and track its dynamics.
ER -