Heavy-Usage Asymptotic Expansions for the Waiting Time in Closed Processor-Sharing Systems with Multiple Classes

We present new results based on novel techniques for the problem of characterizing the waiting-time distribution in a class of closed queueing networks in heavy usage, which in practical terms means that the processor is utilized more than about 80 per cent. This paper extends recent work by Mitra a...

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Veröffentlicht in:Advances in Applied Probability. - Applied Probability Trust. - 17(1985), 1, Seite 163-185
1. Verfasser: Morrison, J. A. (VerfasserIn)
Weitere Verfasser: Mitra, D.
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 1985
Zugriff auf das übergeordnete Werk:Advances in Applied Probability
Schlagworte:Queueing networks Queueing theory Residence time Mathematics Behavioral sciences
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520 |a We present new results based on novel techniques for the problem of characterizing the waiting-time distribution in a class of closed queueing networks in heavy usage, which in practical terms means that the processor is utilized more than about 80 per cent. This paper extends recent work by Mitra and Morrison [10] on the same system in normal usage. The closed system has a CPU operating under the processor-sharing ('time-slicing') discipline and a bank of terminals. The presence of multiple job-classes allows distinctions in the user's behavior in the terminal and in the service requirements. This work is primarily applicable to the case of large numbers of terminals. We give an effective method for calculating, for the equilibrium waiting time, the first and second moments and the leading term in the asymptotic approximation to the distribution. Our results are in the form of asymptotic expansions in inverse powers of N1/2, where N is a large parameter. The expansion coefficients depend on the classical parabolic cylinder functions. 
540 |a Copyright 1985 Applied Probability Trust 
650 4 |a Queueing networks 
650 4 |a Queueing theory 
650 4 |a Residence time 
650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x Applied statistics  |x Descriptive statistics  |x Statistical distributions  |x Distribution functions  |x Probability distributions  |x Mathematical moments 
650 4 |a Mathematics  |x Mathematical expressions  |x Mathematical functions  |x Hypergeometric functions  |x Generating function 
650 4 |a Mathematics  |x Mathematical procedures  |x Approximation 
650 4 |a Mathematics  |x Pure mathematics  |x Algebra  |x Coefficients 
650 4 |a Mathematics  |x Mathematical expressions  |x Mathematical functions  |x Bessel functions 
650 4 |a Mathematics  |x Pure mathematics  |x Calculus  |x Differential calculus  |x Differential equations  |x Partial differential equations 
650 4 |a Mathematics  |x Pure mathematics  |x Algebra  |x Polynomials 
650 4 |a Behavioral sciences  |x Psychology  |x Cognitive psychology  |x Decision theory  |x Operations research  |x Queuing theory  |x Queueing networks 
650 4 |a Mathematics  |x Mathematical expressions  |x Mathematical functions  |x Mathematical transformations  |x Integral transformations  |x Laplace transformation 
650 4 |a Mathematics  |x Pure mathematics  |x Calculus  |x Differential calculus  |x Mathematical integration  |x Mathematical integrals 
655 4 |a research-article 
700 1 |a Mitra, D.  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Advances in Applied Probability  |d Applied Probability Trust  |g 17(1985), 1, Seite 163-185  |w (DE-627)269247009  |w (DE-600)1474602-5  |x 00018678  |7 nnns 
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952 |d 17  |j 1985  |e 1  |h 163-185