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A Complete and Simple Solution to a Discrete-Time Finite-Capacity BMAP/D/c Queue
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作者 Nam k. kim Mohan L. Chaudhry +1 位作者 bong k. yoon kilhwan kim 《Applied Mathematics》 2012年第12期2169-2173,共5页
We consider a discrete-time multi-server finite-capacity queueing system with correlated batch arrivals and deterministic service times (of single slot), which has a variety of potential applications in slotted digita... We consider a discrete-time multi-server finite-capacity queueing system with correlated batch arrivals and deterministic service times (of single slot), which has a variety of potential applications in slotted digital telecommunication systems and other related areas. For this queueing system, we present, based on Markov chain analysis, not only the steady-state distributions but also the transient distributions of the system length and of the system waiting time in a simple and unified manner. From these distributions, important performance measures of practical interest can be easily obtained. Numerical examples concerning the superposition of certain video traffics are presented at the end. 展开更多
关键词 DISCRETE-TIME QUEUE BATCH Markovian ARRIVAL Process DETERMINISTIC Service Time Multiple Server
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INVERTING GENERATING FUNCTIONS WITH INCREASED NUMERICAL PRECISION-A COMPUTATIONAL EXPERIENCE
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作者 Nam k. kIM Mohan L. CHAUDHRY +1 位作者 bong k. yoon kilhwan kIM 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2011年第4期475-494,共20页
In this paper, we consider the numerical inversion of a variety of generating functions (GFs) that arise in the area of engineering and non-engineering fields. Three classes of GFs are taken into account in a comprehe... In this paper, we consider the numerical inversion of a variety of generating functions (GFs) that arise in the area of engineering and non-engineering fields. Three classes of GFs are taken into account in a comprehensive manner: classes of probability generating functions (PGFs) that are given in rational and non-rational forms, and a class of GFs that are not PGFs. Among others, those PGFs that are not explicitly given but contain a number of unknowns are largely considered as they are often encountered in many interesting applied problems. For the numerical inversion of GFs, we use the methods of the discrete (fast) Fourier transform and the Taylor series expansion. Through these methods, we show that it is remarkably easy to obtain the desired sequence to any given accuracy, so long as enough numerical precision is used in computations. Since high precision is readily available in current software packages and programming languages, one can now lift, with little effort, the so-called Laplacian curtain that veils the sequence of interest. To demonstrate, we take a series of representative examples: the PGF of the number of customers in the discrete-time GeoX/Geo/c queue, the same in the continuous-time MX/D/c queue, and the GFs arising in the discrete-time renewal process. 展开更多
关键词 概率生成函数 数值精度 LAPLACIAN 离散傅里叶变换 反相 算经 飞行服务 泰勒级数展开
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