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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Surat ini mencadangkan kaedah baru anggaran matriks trafik IP (TM) berskala besar, dipanggil inferens teknik pembinaan semula algebra (ARTI), yang berdasarkan pengukuran aliran separa dan model Fratar. Berbeza dengan kaedah sebelumnya, ARTI boleh menangkap dengan tepat korelasi spatio-temporal TM. Selain itu, ARTI adalah mudah dari segi pengiraan kerana ia menggunakan teknik pembinaan semula algebra. Kami menggunakan data sebenar daripada rangkaian Abilene untuk mengesahkan ARTI. Keputusan simulasi menunjukkan bahawa ARTI boleh menganggarkan IP TM berskala besar dengan tepat dan menjejaki dinamiknya.
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Salinan
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
Salinan
@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},}
Salinan
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 -