Modeling the performance of low latency queueing for emergency telecommunications

Masi, D.M. Bevilacqua; Fischer, Martin J.; Garbin, David A.

doi:10.1109/wsc.2007.4419864

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…Also, we anticipated that run times in OPNET Modeler would be longer than in our custom simulator, which has much less overhead. Later comparisons (see Masi et al (2007aMasi et al ( , 2007b) showed that our custom simulator run times for a router using CBWFQ were about one tenth that of the OPNET run times.…”

Section: Simulation Modelmentioning

confidence: 92%

“…We were first interested in developing a simulation model for a Low Latency Queueing (LLQ) system (see Masi (2007aMasi ( , 2007b. That system is composed of a Priority Queueing (PQ) module and a CBWFQ module.…”

Section: Simulation Modelmentioning

confidence: 99%

“…Development time for this model was relatively short, taking several days. Background research on the precise rules used by class based weighted fair queues to select which class of packet to transmit when the router is available was required and is described in Masi et al (2007aMasi et al ( , 2007b. The original simulator allowed three classes of traffic, but for this paper we use the two-class version, each having Poisson arrivals.…”

Section: Simulation Modelmentioning

confidence: 99%

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Simulating the performance of a Class-Based Weighted Fair Queueing system

Fischer

Masi

Shortle

2008

2008 Winter Simulation Conference

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Class Based Weighted Fair Queueing (CBWFQ) is a very important router discipline that allows different types of Internet Protocol (IP) traffic like voice, video, and best effort data to receive the required quality of service measures they individually need. CBWFQ dynamically allocates the available bandwidth to each traffic class based on the class's weight. This discipline is playing a vital role as IP brings these traffic classes together in a truly converged network. Under stress and in extreme emergencies, it is critical to be able to determine how the CBWFQ discipline will perform. In this paper, we present and discuss the critical role simulation has played in our development of performance analysis tools for the CBWFQ discipline.

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Section: Simulation Modelmentioning

confidence: 92%

Section: Simulation Modelmentioning

confidence: 99%

Section: Simulation Modelmentioning

confidence: 99%

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Simulating the performance of a Class-Based Weighted Fair Queueing system

Fischer

Masi

Shortle

2008

2008 Winter Simulation Conference

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“…In this section we compare the approximation presented above with the results of simulation models we have developed [9], [15]. We look at two examples-one with five classes and the other with six.…”

Section: Numerical Examplesmentioning

confidence: 99%

Approximating Low Latency Queueing Buffer Latency

Fischer

Masi

Shortle

2008

2008 Fourth Advanced International Conference on Telecommunications

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Low Latency Queueing (LLQ) is an Internet Protocol (IP) router discipline that is being used to ensure that performance-sensitive high priority traffic, such as voice and video, receive their high level of performance, while allowing less performance-sensitive traffic, such as e-mail or best-effort IP, to receive some portion of the bandwidth. In this paper, we develop a simple analytic approximation for the buffer latency (expected buffer delay) for each traffic class using the LLQ system. The approximation is validated via a simulation model.

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“…The particular scheduling technique utilized is a virtual finish time algorithm described in the literature (Golestani 1994). Its characteristics are described in Fischer, Masi and Garbin (2007). The weights assigned to the traffic classes are designed to assure adequate performance for the video and missioncritical data traffic under normal loads.…”

Section: Router Modelmentioning

confidence: 99%

Using event simulation to evaluate Internet Protocol enhancements for special services

Garbin¹,

McGregor²,

Masi³

2007

2007 Winter Simulation Conference

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Disasters can cause extraordinary service demand by the public, while concurrently causing outages that reduce network capacity to serve the surging demand. It is imperative that services supporting disaster response management perform with minimal degradation during such events. Mechanisms exist within Internet Protocol (IP)-based networks to provide preferential treatment for services such as voice and video using Differentiated Services Code Points (DSCP) in the packet headers and Per Hop Behaviors in the routers. However, there is currently no way to identify voice and video packets supporting response management and to ensure their timely delivery during network overload periods. We have applied simulation to evaluate the benefit of additional DSCP markings to be applied to such voice and video packets, and several router configurations. The results demonstrate significant value of the additions in preserving disaster response management performance even when aberration in demand causes ordinary voice and video performance to degrade.

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Modeling the performance of low latency queueing for emergency telecommunications

Cited by 4 publications

References 4 publications

Simulating the performance of a Class-Based Weighted Fair Queueing system

Simulating the performance of a Class-Based Weighted Fair Queueing system

Approximating Low Latency Queueing Buffer Latency

Using event simulation to evaluate Internet Protocol enhancements for special services

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