[논문]An Efficient ATM Traffic Generator for the Real-Time Production of a Large Class of Complex Traffic Profiles

Loukatos Dimitrios; Sarakis Lambros; Kontovasilis Kimon; Mitrou Nikolas

doi:10.1109/jcn.2005.6387757

An Efficient ATM Traffic Generator for the Real-Time Production of a Large Class of Complex Traffic Profiles 원문보기

Journal of communications and networks, v.7 no.1, 2005년, pp.54 - 64

Loukatos Dimitrios (Electrical and Computer Engineering Department, National Technical University of Athens) , Sarakis Lambros (Institute of Informatics and Telecommunications, National Center for Scientific Research 'Demokritos', Athens) , Kontovasilis Kimon (Institute of Informatics and Telecommunications, National Center for Scientific Research 'Demokritos', Athens) , Mitrou Nikolas (Electrical and Computer Engineering Department, National Technical University of Athens)

Abstract ▼ AI-Helper

This paper presents an advanced architecture for a traffic generator capable of producing ATM traffic streams according to fully general semi-Markovian stochastic models. The architecture employs a basic traffic generator platform and enhances it by adding facilities for 'driving' the cell generation process through high-level specifications. Several kinds of optimization are employed for enhancing the software's speed to match the hardware's potential and for ensuring that traffic streams corresponding to models with a wide range of parameters can be generated efficiently and reliably. The proposed traffic generation procedure is highly modular. Thus, although this paper deals with ATM traffic, the main elements of the architecture can be used equally well for generating traffic loads on other networking technologies, IP-based networks being a notable example.

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제안 방법

We close this section by presenting results from an exper iment relating to the large-scale multiplexing of traffic, per formed in the context of a research project4 that explored the usage of asymptotic theories for the modeling of congestion in large networking environments. The experiment involved the generation of many statistically identical on/off traffic streams (featuring a peak rate of 1500 cells/s and exponentially dis tributed on and off periods, of means 100 ms and 400 ms, respectively), which were forwarded (and multiplexed) at the same output port of an ATM switch. The port's output capacity was configurable to different values, through appropriate com mands to the switch's management software.
This paper presented an advanced architecture for a traffic generator capable of producing ATM traffic streams compliant with fully general semi-Markovian stochastic models. The soft ware that drives the traffic generation hardware employs sev eral kinds of optimization, for enhancing the software's speed to match the hardware's potential and for ensuring that traffic streams corresponding to models with a wide range of param eters can be generated efficiently and reliably.

대상 데이터

The port's output capacity was configurable to different values, through appropriate com mands to the switch's management software. Three units of the prototype ATM generator were employed, each contribut ing 16 independent stream modules. Furthermore, each module was configured to produce traffic corresponding to the superpo sition of 10 on/off sources, for an overall effect of 3 x 16 x 10 = 480 on/off streams.

이론/모형

We now present results for a particular experiment address ing traffic generation according to stringent model parameters. In this experiment, a semi-Markovian model with 10 states was used. Traffic rates and mean sojourn times were fixed at 9 Mbps and 1 ms (a very low value), respectively, for all states.

성능/효과

One final complication is that the resulting values of NCi and/or NCh may be greater than the maximum value that can be represented by an ETEP (i, e., greater than ?/Cmax = 216 — 1). In this case, instead of using just two ETEPs, the HLTE is broken down to a number of rate variation cycles, each of the form discussed previously.
In fact, IP traffic generation is simpler in some respects, because packets may be generated at arbitrary points in time and the size of the packets need not be fixed as in ATM. Therefore, when realizing semi-Markovian rate mod els for IP, the state transition algorithm NSDA and the sojourn determination algorithm STDA remain unchanged, while the analog of RPCA (used to produce low-level rate specifications during a state sojourn) may be considerably simplified, by em ploying any desirable value for the packet interarrivals (which need not be an integral multiple of a base quantity). The ETEPs produced may be used by low-level driver software for actually creating the packets and feeding them to the host computer's NIC.

후속연구

Future research will address the issue of applying the ideas in this paper towards the production of tools for the generation of IP traffic.

참고문헌 (16)

？ADTECH, 'The ADTECH AX/4000 - The art of ATM testing,' 1997
？ALCATEL-STR, 'ALCATEL 8643 - ATGA user manual.'
？WANDEL&GOLDERMAN, 'ATM-100, description and operation manual.'
？S. Hondas et al., 'A flexible and cost-effective ATM traffic generator,' in Proc. 5-th IFIP Workshop on Performance Modeling and Evaluation of ATM Networks, 1997
？S. Hondas et al., 'ATM traffic generator card: An integrated solution,' in Proc. ISCC'98, 1998, pp. 161-166
？P. T. Brady, 'A statistical analysis of on-off patterns in 16 conversations,' Bell System Tech. J., vol. 47, no. 1, pp. 73-91, 1968

상세보기
？J. G. Gruber, 'A comparison of measured and calculated speech temporal parameters relevant to speech activity detection,' IEEE Trans. Commun., vol. COM-30, pp. 728-738, 1982
？D. P. Heyman et al., 'Modeling teleconference traffic from VBR video coders,' in Proc. ICC94, 1994, pp. 1744-1748
？D. P. Heyman, A. Tabatabai, and T. V. Lakshman, 'Statistical analysis and simulation study of video teleconference traffic in ATM networks,' IEEE Trans. Circuits Syst. Video Technol., vol. 2, no. 1, pp. 49-59, 1992

상세보기
？B. Maglaris et al., 'Performance models of statistical multiplexing in packet video communications,' IEEE Trans. Commun., vol. COM-36, pp. 834-844, 1988
？P. Sen et al., 'Models for packet switching of variable-bit-rate video sources,' IEEE J. Select. Areas Commun., vol. 7, pp. 865-869, 1989

상세보기
？D. Anick, D. Mitra, and M. M. Sandhi, 'Stochastic theory of a datahandling system with multiple sources,' Bell System Tech. J., vol. 61, pp. 1871-1894, 1982
？T. E. Stern and A. I. Elwalid, 'Analysis of separable Markov-modulated rate models for information-handling systems,' Adv. Appl. Prob., vol. 23, pp. 105-139, 1991

상세보기
？O. Boxma and V. Dumas, 'Fluid queues with long tailed activity period distributions,' Comput. Commun., vol. 21, pp. 1509-1529, 1998

상세보기
？E. Cinlar, Introduction to Stochastic Processes, Prentice Hall, 1975
？K. P. Kontovasilis and N. M. Mitrou, 'Bursty traffic modeling and efficient analysis algorithms via fluid-flow models for ATM-IBCN,' Annals of Operations Research, vol. 49, pp. 279-323, 1994

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DOI : 10.1109/JCN.2005.6387757 [무료]
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