AC algorithms in AQUILA QoS IP network

This paper presents the admission control (AC) algorithms that are implemented in the prototype multi-service AQUILA QoS IP network [4]. The discussed algorithms were developed for regulating traffic submitted to network services (NS) dedicated for handling: (1) real-time streaming traffic of variable bit rate (VBR) type and (2) elastic traffic, produced by greedy TCP sources. For the former NS, named Premium VBR, the measurement-based AC (MBAC) scheme is proposed. The applied approach employs the well-known Hoeffding bound formula [2] for calculating required link capacity to assure packet loss ratio at a predefined level. Moreover, this method is supported by the declarations about the peak bit rate as well as by the measurements of mean bit rate on aggregate flow level. For the latter NS, named premium multimedia, two alternative AC algorithms are investigated, both designed for assuring requested TCP throughput. While the first of them follows the token bucket marking (TBM) concept [12], the second one adjusts the advertised TCP window size to enable an ideal TCP behaviour (i.e. lossless packet transfer). The simulation results are included for illustrating the advantages of the discussed algorithms.

[1]  QUTdN QeO,et al.  Random early detection gateways for congestion avoidance , 1993, TNET.

[2]  Wojciech Burakowski,et al.  Admission Control for TCP Connections in QoS IP Network , 2003, Human.Society@Internet 2003.

[3]  Donald F. Towsley,et al.  Providing throughput differentiation for TCP flows using adaptive two-color marking and two-level AQM , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[4]  Christof Brandauer,et al.  An Implementation of a Service Class Providing Assured TCP Rates within the AQUILA Framework , 2003, Art-QoS.

[5]  Richard Mortier,et al.  Implicit admission control , 2000, IEEE Journal on Selected Areas in Communications.

[6]  David L. Black,et al.  An Architecture for Differentiated Service , 1998 .

[7]  Mostafa Bassiouni,et al.  Performance evaluation of TCP connections in ideal and non-ideal network environments , 2001, Comput. Commun..

[8]  Andrzej Beben,et al.  AQUILA network architecture: first trial experiments , 2002 .

[9]  Donald F. Towsley,et al.  On achievable service differentiation with token bucket marking for TCP , 2000, SIGMETRICS '00.

[10]  Gerald Eichler,et al.  Evaluation of the AQUILA Architecture: Trial Results for Signalling Performance, Network Services and User Acceptance , 2003, Art-QoS.

[11]  Fabio Ricciato,et al.  Traffic Handling in AQUILA QoS IP Network , 2001, QofIS.

[12]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[13]  Felix Strohmeier,et al.  Measurement-Based Admission Control in the AQUILA Network and Improvements by Passive Measurements , 2003, Art-QoS.

[14]  Donald F. Towsley,et al.  Modeling TCP throughput: a simple model and its empirical validation , 1998, SIGCOMM '98.

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

[16]  Sara Oueslati,et al.  Integrated Admission Control for Streaming and Elastic Traffic , 2001, QofIS.

[17]  Serge Fdida,et al.  A Quantitative Model for the Parameter Setting of RED with TCP Traffic , 2001, IWQoS.