The Synthesized Traffic Generator; Objectives, design and capabilities

Helvik, Bjarne E.; Melteig, Ole; Morland, Leif

doi:10.1016/b978-0-444-81584-2.50031-8

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…From a traffic modelling point of view, MPEG has traditionally either been modelled as Markovian (Rose, 1997), autoregressive (Ramamurthy, 1992) or more recently fractal (Beran, 1995). Since the traffic generators available at the EXPERT platform implement a Markovian model at the burst level, we have chosen to follow the Markovian approach of B. Helvik (Helvie, 1993). No intention to capture long range correlation is made, mainly due to our multiplexing scenarios where only short or moderate sized buffers are used.…”

Section: Modelling Video and Datamentioning

confidence: 99%

“…The ATM-100 is equipped with two STGs (Helvie, 1993) which generate the artificial MPEG and the on/off data traffic. Due to hardware constraints in the traffic generators a pacing rate function has been used to limit the output port capacity to 37.44 Mbps, thereby reducing the number of sources required to adequately load the system.…”

Section: Modelling Video and Datamentioning

confidence: 99%

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CAC investigation for video and data

Aarstad

Blaabjerg

Cerdan

et al. 1998

Broadband Communications

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A key objective of ATM-based networks is to provide at the same time guaranteed QoS to real time and non-real time services. This calls for thoroughly engineered traffic control methods for those service categories as well as for the overall integration strategy. The main objective of this paper is to investigate CAC in an ATM testbed with real switches and as realistic traffic as possible. The used traffic is video (MPEG model based on traces) and data modelled as traditional on/off sources. The video traffic is given priority over the data traffic. To complement and verify the experiments, two simulation tools using as input the artificial MPEG models and the real traces have been developed. The CAC boundary for the nonpriority case has also been derived analytically. The experimental sources are modelled as discrete-time Markov sources. A matching method to avoid state space explosion for the superposition is applied on the source models.

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Section: Modelling Video and Datamentioning

confidence: 99%

Section: Modelling Video and Datamentioning

confidence: 99%

CAC investigation for video and data

Aarstad

Blaabjerg

Cerdan

et al. 1998

Broadband Communications

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show abstract

“…5 b) and is denoted as serialised multiplexer. Each of the Synthesized Traffic Generators (STG) [5] is configured to generate a superposition of In Fig. 6 the CLR at the finite capacity multiplexer obtained by simulation is plotted versus the traffic split up ratio (N,/N), including the 95% confidence intervals for the serialised multiplexer.…”

Section: Preliminary Multiplexing Studiesmentioning

confidence: 99%

“…Table 1 summarises the characteristic parameters of the Ordoff source types which have been used throughout the paper. These sources can be realised by the Synthesised Traffic Generator (STG) [5] allowing to generate statistical traffic according to a state model with Markovian phases.…”

Section: Experiments On Usage Parameter Controlmentioning

confidence: 99%

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Experimental validation of an ATM traffic control framework in the EXPLOIT testbed

Renger

Aarstad

Pettersen

et al. 1996

Trans Emerging Tel Tech

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Abstract. This paper deals with the experimental investigation of a preventive traffic control framework for ATM networks as implemented in the EXPLOIT Testbed. This framework comprises a Usage Parameter Control (UPC) function and a Connection Admission Control (CAC) function. The obtained measurement results are complemented and compared with simulation studies and analytical results. For several OdOff traffic types it is shown that the implemented UPC function enforces both the Peak Cell Rate (PCR) and the Sustainable Cell Rate (SCR) simultaneously. By measuring the cell loss ratio as a function of the number of multiplexed sources, admission boundaries for a given network performance objective can be found and compared with the implemented CAC function based on the convolution algorithm. It appears that network performance objectives can be guaranteed, while exploiting most of the possible multiplexing gain in a network with small buffers like the EXPLOIT Testbed. Finally, it is shown that the two co-operating functions constitute a traffic control framework which is robust against traffic contract violations as well as worst case traffic utilising the contracted UPC function tolerances maximally at both the cell level and the burst level.

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Performance evaluation of the CSCW application JVTOS

Klovning

Bonaventure

1996

Teleservices and Multimedia Communications

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The Synthesized Traffic Generator; Objectives, design and capabilities

Cited by 4 publications

References 4 publications

CAC investigation for video and data

CAC investigation for video and data

Experimental validation of an ATM traffic control framework in the EXPLOIT testbed

Performance evaluation of the CSCW application JVTOS

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