An Extensible Visual Environment for Construction and Analysis of Hierarchically-Structured Models of Resource Contention Systems

Gordon, Kurtiss J.; Gordon, Robert F.; Kurose, James F.; MacNair, Edward A.

doi:10.1287/mnsc.37.6.714

Cited by 18 publications

(5 citation statements)

References 33 publications

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“…As an additional point of comparison, we measured the execution rate of the commercial queueing network simulator RESQ [3], executing on an IBM 3090 mainframe. The model simulated by RESQ is actually substantially smaller than this one.…”

Section: Methodsmentioning

confidence: 99%

“…In the absence of any job transfers from other queues, the transition rate out of si is Ai(si) = A + Fil 1 + Sips. The state of the entire system is the concatenation s = (s1,s2,s 3 ), with total transition rate A(s) = A,(sl) + A 2 (s 2 ) + A 3 (s 3 ).…”

Section: Introductionmentioning

confidence: 99%

“…However, there is strong reason to believe that PUCS-style synchronization can be embedded in a parallel simulation package specific to an application class (e.g., a large subset of RESQ [3] for simulating queueing networks), with all the details of finding legal uniformization 6 rates being automated.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Parallel algorithms for simulating continuous time Markov chains

Nicol¹,

Heidelberger

1993

Proceedings of the Seventh Workshop on Parallel and Distributed Simulation

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We have previously shown that the mathematical technique of uniformization can serve as the basis of synchronization for the parallel simulation of continuous-time Markov chains. This paper reviews the basic method and compares five different methods based on uniformization, evaluating their strengths and weaknesses as a function of problem characteristics. The methods vary in their use of optimism, logical aggregation, communication management, and adaptivity. Performance evaluation is conducted on the Intel Touchstone Delta multiprocessor, using up to 256 processors.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Parallel algorithms for simulating continuous time Markov chains

Nicol¹,

Heidelberger

1993

Proceedings of the Seventh Workshop on Parallel and Distributed Simulation

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“…and is given by equation (4). Figures 4(a)-(c) plot the probabilities Pb, Pf, and Pc, respectively, when Ar's are uniformly increased.…”

Section: A Finite Service Area With Hexagonal Cellsmentioning

confidence: 99%

<title>Call loss and forced termination probabilities in cellular radio communication networks with irregular topologies</title>

1998

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We propose and analyze a traffic model of a cellular radio communication network with an arbitrary cell connection and arbitrary probabilistic movement of mobiles between the cells. Our analytic model consists of birth-and-death processes for individual cells connected by the numerical adjustment ofhand-offrates. This approximation is validated by simulation. We evaluate the probabilities of the immediate loss, the completion, and the forced termination during hand-off for an arbitrary call in the network. Our numerical examples reveal the cases in which the increase in the generation rate of new calls results in the increase in the loss probability without affecting much the probability of forced termination in a limited service area.

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“…Modeling Environment (RESQME) (Gordon et al , 1987(Gordon et al , 1990(Gordon et al , 1991, using this implementation as an example.…”

Section: Introductionmentioning

confidence: 99%

Error detection and display for graphical modeling environments

Gordon¹,

Loewner²,

MacNair³

et al.

1991 Winter Simulation Conference Proceedings.

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Many performance modeling systems are now graphically based, enabling the user to build a model by directly drawing and manipulating a pictorial model diagram on the computer display. These modeling systems generally provide a menu driven interface and an icon palette with which the user specifies the model by selecting and linbing icons and then providing associated textual attribute information. The resulting combination of graphics and text forms the model specification and requires that certain rules be obeyed in terms of content, completeness, syntax and semantics. Some classes of user errors can be completely prevented with this type of interface; others need to be detected and identified to the modeler, ideally as the model is constructed. Within the visual modeling paradigm, the detection and display of errors is significantly more complex than in text based modeling languages; the display problem is particularly acute in the case of multilevel, hierarchically structured models. In this paper, we describe the error detection and display capabilities we believe are needed in visual modeling tools and describe the implementation of these capabilities in the Research Queueing Package Modeling Environment (RES Q ME).

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An Extensible Visual Environment for Construction and Analysis of Hierarchically-Structured Models of Resource Contention Systems

Cited by 18 publications

References 33 publications

Parallel algorithms for simulating continuous time Markov chains

Parallel algorithms for simulating continuous time Markov chains

<title>Call loss and forced termination probabilities in cellular radio communication networks with irregular topologies</title>

Error detection and display for graphical modeling environments

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