Adaptive wavelet-based multifractal model applied to the effective bandwidth estimation of network traffic flows

Autor(es)

Vieira, F. H. T. ^[1] ; Lee, L. L. ^[2]

Afiliação do(s) autor(es)

^[1] Univ Fed Goias, Sch Elect & Comp Engn, Sector Leste Univ, BR-74605010 Goiania, Go - Brazil

^[2] Univ Estadual Campinas, Sch Elect & Comp Engn, Dept Commun, BR-13083852 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IET COMMUNICATIONS; v. 3, n. 6, p. 906-919, JUN 2009.
• Citações Web of Science: 19

Resumo

The authors investigate effective bandwidth estimation and Quality of Service (QoS) aware bandwidth provisioning for multifractal network traffic flows. They develop a novel adaptive wavelet-based multifractal model (AWMM) by using properties of the wavelet coefficients of multifractal cascade processes. The proposed AWMM has real-time updating capability and proves to be efficient in capturing multifractal network traffic characteristics. In addition, the authors derive an analytical expression for the effective bandwidth estimation of AWMM traffic flows, capable of being used to meet desired byte loss probabilities. Finally, they present an online effective bandwidth estimation algorithm that is incorporated into an adaptive bandwidth provisioning scheme and comparatively evaluated against some other bandwidth allocation methods. (AU)

• Processo FAPESP: 06/60363-6 - Provisão de qualidade de serviço para tráfego de redes através de estimação de banda efetiva e do cálculo de rede considerando características multifractais
• Beneficiário: Flávio Henrique Teles Vieira
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado