A multiobjective fuzzy bandwidth partitioning model for self-sizing networks

The ability to cope with dynamic bandwidth demands is a special feature for Quality of Service provisioning in networks carrying bandwidth hungry applications. This paper introduces a novel approach based on multiobjective fuzzy optimization for dynamic bandwidth allocation. This new approach deals with uncertain bandwidth demands more efficiently than approaches based on Classical Optimization Theory and yet supports Quality of Service commitments.

[1]  Nelson Luis Saldanha da Fonseca,et al.  On the equivalent bandwidth of self-similar sources , 2000, TOMC.

[2]  H. Zimmermann.  DESCRIPTION AND OPTIMIZATION OF FUZZY SYSTEMS , 1975 .

[3]  Peter B. Danzig,et al.  Comparison of measurement-based admission control algorithms for controlled-load service , 1997, Proceedings of INFOCOM '97.

[4]  Michael Devetsikiotis,et al.  A self-sizing framework for adaptive resource allocation in label-switched networks , 2002, Proceedings. 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems.

[5]  Michael Devetsikiotis,et al.  Self-sizing and optimization of high-speed multiservice networks , 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).

[6]  Manish Jain,et al.  Ten fallacies and pitfalls on end-to-end available bandwidth estimation , 2004, IMC '04.

[7]  Philippe Owezarski,et al.  A flow-based model for internet backbone traffic , 2002, IMW '02.

[8]  J. Yan.  Adaptive configuration of elastic high speed multiclass networks , 1998 .

[9]  Hiroshi Saito,et al.  Self-sizing network operation systems in ATM networks , 1996, Proceedings of NOMS '96 - IEEE Network Operations and Management Symposium.

[10]  Martin Reisslein,et al.  MPEG-4 and H.263 video traces for network performance evaluation , 2001, IEEE Netw..

[11]  Michael Devetsikiotis,et al.  Self-sizing networks: local vs. global control , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[12]  Scott Shenker,et al.  Comments on the performance of measurement-based admission control algorithms , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[13]  Walter Willinger,et al.  Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level , 1997, TNET.

[14]  Michael Devetsikiotis,et al.  A Dynamic Time Scale Approach for On-line Measurement-Based Capacity Allocation , 2003 .

[15]  Ilkka Nomos.  On the Use of Fractional Brownian Motion in the Theory of Connectionless Networks , 1995 .

[16]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[17]  Frank Kelly,et al.  Notes on effective bandwidths , 1994 .

[18]  Patrice Abry,et al.  Wavelet Analysis of Long-Range-Dependent Traffic , 1998, IEEE Trans. Inf. Theory.

[19]  S. Jamin.  Measurement-based Admission Control Algorithms for Controlled-load Service : A Structural Examination , 1995 .

[20]  N.L.S. da Fonseca,et al.  A comparison of measurement-based equivalent bandwidth estimators , 2004, IEEE Global Telecommunications Conference Workshops, 2004. GlobeCom Workshops 2004..

[21]  Mischa Schwartz,et al.  Broadband integrated networks , 1996 .

[22]  C. Hauser,et al.  Beyond technology: the missing pieces for QoS success , 2003, RIPQoS '03.