A review of voice, data and video traffic models for ATM

Cosmas, John; Petit, Guido H.; Lehnert, Ralf; Blondia, Chris; Kontovassilis, Kimon; Casals, O.; Theimer, Thomas

doi:10.1002/ett.4460050206

Cited by 26 publications

(10 citation statements)

References 21 publications

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“…Additionally, according to (1) it is allowed for D-BMAP to have different probability functions for each pair of states. These two properties make D-BMAP quite versatile process and have been used in many studies to derive models of various traffic sources with comprehensive distributional and autocorrelational properties [10], [11].…”

Section: Arrivals Processesmentioning

confidence: 99%

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ΣD-BMAP/D/1/K queuing system with priorities

Moltchanov

Koucheryavy

2010

International Congress on Ultra Modern Telecommunications and Control Systems

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We consider the case of discrete-time queuing system with preemptive priority discipline, which is fed by two discretetime batch Markovian arrival processes (D-BMAP), and denoted in Kendall's notation as D-BMAP+D-BMAP/D/1/K. We show that for late arrival system model with delayed access non-preemptive, preemptive-repeat and preemptive-resume priority disciplines are are similar and can be treated simultaneously. Given this system we obtain probability functions of the number of lost packets and the delay of the arrival for low priority arrival process. Applications of the proposed model are then considered.

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Section: Arrivals Processesmentioning

confidence: 99%

“…Queuing systems of D-BMAP/D/1/K type have received significant attention during the past decade and quite general results have been obtained to date [1], [2], [3]. D-BMAP/D/1/K model was found to be appropriate for ATM [4], [5] and wireless environments [6].…”

Section: Introductionmentioning

confidence: 99%

ΣD-BMAP/D/1/K queuing system with priorities

Moltchanov

Koucheryavy

2010

International Congress on Ultra Modern Telecommunications and Control Systems

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“…ATM includes a utility that uses characteristics of both packet and circuit switching networks. It encodes data into small, fixed-sized network packets by employing asynchronous time-division multiplexing and it allows traffic over a high-speed single access circuit, Cosmas et al [4]. It divides the information into equal sized cells of 53 bytes before transmission, of which 48 bytes contain information, and 5 bytes constitute control information in the header.…”

mentioning

confidence: 99%

Customers' joining behavior in an unobservable <i>GI/Geo/m</i> queue

Goswami¹,

Panda²

2023

NACO

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<p style='text-indent:20px;'>This paper studies the equilibrium balking strategies of impatient customers in a discrete-time multi-server renewal input queue with identical servers. Arriving customers are unaware of the number of customers in the queue before making a decision whether to join or balk the queue. We model the decision-making process as a non-cooperative symmetric game and derive the Nash equilibrium mixed strategy and optimal social strategies. The stationary system-length distributions at different observation epochs under the equilibrium structure are obtained using the roots method. Finally, some numerical examples are presented to show the effect of the information level together with system parameters on the equilibrium and social behavior of impatient customers.</p>

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“…Διάφορες διαδικασίες διακριτού σημείου έχουν προταθεί στη βιβλιογραφία ως μοντέλα της κίνησης που παράγεται από διάφορους τύπους πηγών ή εφαρμογών. Ειδικά για τα μοντέλα επιπέδου ATM-πακέτου, χρήσιμη αποβαίνει η μελέτη των [Kue96] και [CPL+94].…”

Section: διδακτορική διατριβήunclassified

Παραγωγή Και Ανάλυση Κίνησης Με Έμφαση Σε Δίκτυα Τεχνολογίας ΑΤΜ Και IP

Λουκάτος¹

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The information volume and the application variety are constantly increasing imposing new demands on the telecommunication networks. Due to these reasons the problem of efficient network design, monitoring and control is more apparent than ever. Traffic generation and/or analysis tools, if properly applied, can assist in finding suitable solutions. The PhD thesis focuses on the development and usage methods of similar tools and is structured in ten chapters. In the first chapter the main components of the QoS delivery problem are mentioned while the emerging need for sufficient traffic generation and/or analysis tools is justified. The second chapter presents in detail the main characteristics of the environment where the proposed tools may be used. This environment consists mainly of ATM and IP topologies. The emphasis is put on the similarities between the discussed different platforms. At chapter 3 starts the detailed description of the proposed tools. More specifically in chapter 3 an advanced software architecture for ATM traffic generation is presented. This architecture exploits a stable and reliable hardware so as to provide the generation of traffic flows compliant with high level traffic model specifications. The basic advantage of the proposed generator is that it guarantees a fast and accurate traffic generation process. The software part introduces several innovations towards minimizing speed and memory constrains related to the hardware. Chapter 4 is dedicated to the presentation of the software supporting a prototype ATM traffic analyzer. The software exploits the experience acquired during the implementation of the ATM traffic generator counterpart. The software architecture of the proposed ATM analyzer exploits and controls the enhanced capabilities of the promising underlying hardware module the role of which is expanded in order to provide real time QoS metrics at relatively low computational cost. Apart from this, the software architecture directly creates models containing some cases of traffic being monitored. In chapter 5, an IP traffic generator is described. The remarkably successful use of the prototype ATM traffic generator, in conjunction with its well-balanced architecture led to the adoption of the presented generator’s logic in IP environments as well. It must be noticed that the whole effort does not ignore the idiosyncrasies of the Internet. The IP traffic generator, despite the simplicity of its first version, was proved as very useful to many testing cases where the exact reproduction of captured traffic was crucial or the hiring of real sources too expensive or complicated. Chapter 6 is dedicated to the description of traffic analyzers, especially designed for IP networks. As a first attempt, the ATM analyzer engine was further exploited, after the necessary modifications in its software architecture, while a sufficient «IP over ATM» mechanism was hired. At next stage, a native IP analyzer was designed and implemented. The later tool hires external clock units for solving the synchronization problem between source and destination nodes. The capabilities the two analyzers can be enhanced by injecting appropriate monitoring traffic into the network under evaluation. The «IP over ATM» based IP analyzer is capable of performing accurate and fast real time measurements without overloading the hosting system. One of its main advantages is the direct delivery of histograms presenting the inter-packet distance (or the packet size) distribution. The proposed native IP analyzer solves the problem performing real time reliable measurements of end-to-end delays or losses of IP packets. Chapter 7 is dedicated to another group of performance evaluation tools that work under looser real time constrains. They perform post-processing using log files captured by various traffic analysis tools. Via post-processing more testing cases can be assessed while more complex metrics can be incorporated into the analyzer’s logic. The computational load required for measurement processing is completely disconnected from the relevant load for data gathering. Chapter 8 presents an analyzer tool that is based on the logging capabilities exhibited by advanced network elements. Although the proposed tool does not differ in its high level architecture from the other traffic analysis tools being presented, data uploading mechanism is based on the SNMP MIBs supported by network elements like an IP router or an ATM switch. The specific tool is targeted towards assisting the rest of the analyzers. The main advantage of this tool is its flexibility as it can be transferred easily from one network platform to another. Chapter 9 presents several characteristic cases where the proposed tools are involved. Indeed, traffic generation and analysis tools have been exhaustively tested during a large number of experiments. The easy use of the tools and the complementarity of their features led to the appropriate solutions very fast in all cases. Furthermore, all the tools are cost-effective. The experiments being performed indicated for one more time that there are no solutions that are both integral and optimal, but only partial ones implied by the promised QoS and cost requirements. Finally, chapter 10 summarizes the thesis’s innovative points and contribution and indicates some open issues for further research.

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A review of voice, data and video traffic models for ATM

Cited by 26 publications

References 21 publications

ΣD-BMAP/D/1/K queuing system with priorities

ΣD-BMAP/D/1/K queuing system with priorities

Customers' joining behavior in an unobservable <i>GI/Geo/m</i> queue

Παραγωγή Και Ανάλυση Κίνησης Με Έμφαση Σε Δίκτυα Τεχνολογίας ΑΤΜ Και IP

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A review of voice, data and video traffic models for ATM

Cited by 26 publications

References 21 publications

&#x03A3;D-BMAP/D/1/K queuing system with priorities

&#x03A3;D-BMAP/D/1/K queuing system with priorities

Customers' joining behavior in an unobservable <i>GI/Geo/m</i> queue

Παραγωγή Και Ανάλυση Κίνησης Με Έμφαση Σε Δίκτυα Τεχνολογίας ΑΤΜ Και IP

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ΣD-BMAP/D/1/K queuing system with priorities

ΣD-BMAP/D/1/K queuing system with priorities