Flow-level performance analysis of a multi-rate system supporting stream and elastic services

被引:6
作者
Gero, B. P. [1 ]
Palyi, P. L. [2 ]
Racz, S. [1 ]
机构
[1] Ericsson Res, Traff Anal & Network Performance Lab, H-1097 Budapest, Hungary
[2] Budapest Univ Technol & Econ, Dept Telecommun & Media Informat, HSNLab, H-1117 Budapest, Hungary
关键词
stream traffic; elastic traffic; throughput; numerical method; multi-rate system; ENVIRONMENT; PROCESSOR; BLOCKING;
D O I
10.1002/dac.1383
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider a multi-rate system where stream and elastic flows receive service. Both the stream and the elastic classes are associated with peak rate limitation. In contrast to the constant bit rate stream flows, the elastic flows tolerate bandwidth compression while in service. Because of the occasional bandwidth compression, the holding time of elastic flows depends on their perceived throughput. Although this model is Markovian under quite non-restrictive assumptions, the model's state space grows exponentially with the number of traffic classes. The model is not quasi-reversible, and therefore, it cannot be evaluated by efficient recursive formulae. We propose a method whereby the original state space is mapped to a two-dimensional one, independently of the number of the stream and the elastic traffic classes. The special structure of the two-dimensional model allows us to develop an efficient method that approximates the average throughputs of elastic flows. The state space reduction together with the proposed approximation provides a powerful tool for the performance analysis of this model as it allows the approximation of the average throughputs of elastic flows reasonably accurately in large models as well. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:974 / 988
页数:15
相关论文
共 14 条
[1]  
[Anonymous], 1994, Introduction to the Numerical Solutions of Markov Chains
[2]  
[Anonymous], 1979, Reversibility and Stochastic Networks
[3]  
Borst S, 2007, P INF
[4]   INSENSITIVITY IN QUEUING-SYSTEMS [J].
BURMAN, DY .
ADVANCES IN APPLIED PROBABILITY, 1981, 13 (04) :846-859
[5]   Modeling integration of streaming and data traffic [J].
Delcoigne, F ;
Proutière, A ;
Régnié, G .
PERFORMANCE EVALUATION, 2004, 55 (3-4) :185-209
[6]  
Dziong Z, 1987, PERFORMANCE EVALUATI, V7
[7]   SHARING A PROCESSOR AMONG MANY JOB CLASSES [J].
FAYOLLE, G ;
MITRANI, I ;
IASNOGORODSKI, R .
JOURNAL OF THE ACM, 1980, 27 (03) :519-532
[8]   On providing blocking probability and throughput guarantees in a multi-service environment [J].
Fodor, G ;
Rácz, S ;
Telek, M .
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2002, 15 (04) :257-285
[9]   BLOCKING IN A SHARED RESOURCE ENVIRONMENT [J].
KAUFMAN, JS .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1981, 29 (10) :1474-1481
[10]  
Koukoulidis V., 1993, THESIS CONCORDIA U M THESIS CONCORDIA U M