메뉴 건너뛰기




Volumn 65, Issue 1, 2011, Pages 75-86

Accurate estimation of large-scale IP traffic matrix

Author keywords

Backpropagation neural network; Inverse problem; Large scale network; Traffic matrix estimation

Indexed keywords

BACKPROPAGATION; INVERSE PROBLEMS; MATRIX ALGEBRA; NETWORK MANAGEMENT; NEURAL NETWORKS;

EID: 78649251599     PISSN: 14348411     EISSN: 16180399     Source Type: Journal    
DOI: 10.1016/j.aeue.2010.02.008     Document Type: Article
Times cited : (25)

References (25)
  • 3
    • 33750297339 scopus 로고    scopus 로고
    • Traffic matrices: Balancing measurements, inference and modeling
    • Banff, June
    • Soule A, Lakhina A, Taft N, et al. Traffic matrices: balancing measurements, inference and modeling. In: Proceedings of ACM sigmetrics'05, Banff, June 2005.
    • (2005) Proceedings of ACM sigmetrics'05
    • Soule, A.1    Lakhina, A.2    Taft, N.3
  • 4
    • 0345568556 scopus 로고    scopus 로고
    • Traffic matrix estimation: Existing techniques and new directions
    • Pittsburgh, USA, August
    • Medina A, Taft N, Salamatian K, et al. Traffic matrix estimation: existing techniques and new directions. In: Proceedings of ACM SIGCOMM'02, Pittsburgh, USA, August 2002.
    • (2002) Proceedings of ACM SIGCOMM'02
    • Medina, A.1    Taft, N.2    Salamatian, K.3
  • 5
    • 0001073106 scopus 로고    scopus 로고
    • Network tomography: Estimating source-destination traffic intensities from link data
    • Y. Vardi Network tomography: estimating source-destination traffic intensities from link data Journal of the American Statistical Association 91 433 1996 365 377
    • (1996) Journal of the American Statistical Association , vol.91 , Issue.433 , pp. 365-377
    • Vardi, Y.1
  • 7
    • 8344277151 scopus 로고    scopus 로고
    • An information theoretic approach to traffic matrix estimation
    • Karlsruhe, Germany, August
    • Zhang Y, Roughan M, Lund C, et al. An information theoretic approach to traffic matrix estimation. In: Proceedings of ACM SIGCOMM'03, Karlsruhe, Germany, August 2003.
    • (2003) Proceedings of ACM SIGCOMM'03
    • Zhang, Y.1    Roughan, M.2    Lund, C.3
  • 8
    • 67651036430 scopus 로고    scopus 로고
    • An accurate approach of large-scale ip traffic matrix estimation
    • D. Jiang, J. Chen, and L. He An accurate approach of large-scale ip traffic matrix estimation IEICE Transactions on Communications E90-B 12 2007 3673 3676
    • (2007) IEICE Transactions on Communications , vol.90 , Issue.12 , pp. 3673-3676
    • Jiang, D.1    Chen, J.2    He, L.3
  • 9
    • 59649105558 scopus 로고    scopus 로고
    • Garch model-based large-scale ip traffic matrix estimation
    • D. Jiang, and G. He Garch model-based large-scale ip traffic matrix estimation IEEE Communications Letters 13 1 2009 52 54
    • (2009) IEEE Communications Letters , vol.13 , Issue.1 , pp. 52-54
    • Jiang, D.1    He, G.2
  • 10
    • 33745146828 scopus 로고    scopus 로고
    • A fast lightweight approach to origin-destination ip traffic estimation using partial measurements
    • G. Liang, N. Taft, and B. Yu A fast lightweight approach to origin-destination ip traffic estimation using partial measurements IEEE Transactions on Information Theory 52 6 2006 2634 2648
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.6 , pp. 2634-2648
    • Liang, G.1    Taft, N.2    Yu, B.3
  • 13
    • 33748852900 scopus 로고    scopus 로고
    • Unsupervised discovery of non-linear structure using contrastive backpropagation
    • G.-E. Hinton, S. Osindero, and M. Welling Unsupervised discovery of non-linear structure using contrastive backpropagation Cognitive Science 30 4 2006 725 731
    • (2006) Cognitive Science , vol.30 , Issue.4 , pp. 725-731
    • Hinton, G.-E.1    Osindero, S.2    Welling, M.3
  • 14
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H. White Multilayer feedforward networks are universal approximators Neural Networks 2 1989 359 366
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 16
    • 84940167692 scopus 로고    scopus 로고
    • Datasets
    • Datasets: 〈 http://www.cs.utexas.edu/∼yzhang/research/abilene- tm/ 〉.
  • 17
  • 18
    • 8344276672 scopus 로고    scopus 로고
    • Design of igp link weight changes for estimation of traffic matrices
    • Hong Kong, March
    • Nucci A, Cruz R, Taft N, et al. Design of igp link weight changes for estimation of traffic matrices. In: Proceedings of IEEE infocom, Hong Kong, March 2004.
    • (2004) Proceedings of IEEE Infocom
    • Nucci, A.1    Cruz, R.2    Taft, N.3
  • 19
    • 8344266958 scopus 로고    scopus 로고
    • How to identify and estimate the largest traffic matrix elements in a dynamic environment
    • New York, June
    • Soule A, Nucci A, Leonardi E, et al. How to identify and estimate the largest traffic matrix elements in a dynamic environment. In: Proceedings of ACM sigmetrics, New York, June 2004.
    • (2004) Proceedings of ACM Sigmetrics
    • Soule, A.1    Nucci, A.2    Leonardi, E.3
  • 23
    • 38549167331 scopus 로고    scopus 로고
    • Sensitivity of traffic matrix estimation techniques to their underlying assumptions
    • Juva I. Sensitivity of traffic matrix estimation techniques to their underlying assumptions. In: Proceedings of ICC'07; 2007. p. 5628.
    • (2007) Proceedings of ICC'07 , pp. 562-568
    • Juva, I.1
  • 24
    • 0001024110 scopus 로고
    • First and second order methods for learning: Between steepest descent and Newton's method
    • R. Battiti First and second order methods for learning: between steepest descent and Newton's method Neural Computation 4 2 1992 141 166
    • (1992) Neural Computation , vol.4 , Issue.2 , pp. 141-166
    • Battiti, R.1
  • 25
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • D.-E. Rumelhart, G.-E. Hinton, and R.-J. Williams Learning representations by back-propagating errors Nature 323 1986 533 536
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.-E.1    Hinton, G.-E.2    Williams, R.-J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.