M／M／1／k后馈系统中的随机过程

本文对Ｍ／Ｍ／１／ｋ后馈排队系统中各随机过程的Ｐｏｉｓｓｏｎ性进行了讨论，推广了Ｂｒｅｍａｕｄ（［２］，［３］）的相应结果。所得结论表明Ｍ／Ｍ／１／ｋ后馈系统与Ｍ／Ｍ／１后馈系统情况有所不同，即在某些情况下，除总输出过程外，还有其它的过程也可能是Ｐｏｉｓｓｏｎ过程。顺便又地Ｍ／Ｍ／Ｃ／ｋ前馈后馈排队系统的动态数学模型进行了严格的讨论。     

PH／PH／1／N反馈排队系统的逼留时间

具有反馈依赖于队长的ＰＨ／ＰＨ／１／Ｎ排队系统的队长和忙期的研究已在文（１）中解决，本文主要解决本系统的逗留时间的研究。     

相型同步启动时间的M／M／c排队系统

本文研究带有同步启动时间的Ｍ／Ｍ／ｃ系统，其中启动时间是相型变量，给出了稳态和等待时间分布等结果。     

环Z／（m）上两种序列综合算法之间的关系

有限域Fq上单条序列的综合算法有著名的Berlkamp-Massey算法(简记B-M算法)，Reeds和Sipane(1985)将这一算法推广到整数同余类环Z／(m)上．作者曾利用推广的Gr6bner基理论，蛤出了环Z／(m)上单条及多条序列的新的综合算法，简称G-算法．本文讨论这两种序列综合算法之间的关系，并证明了G-算法和B-M算法对域上序列的综合是等价的；对环Z／(m)上的序列，通过对G-算法适当改进，可以顺序得到由推广的B-M算法求得的特征多项式．     

GI／G／1系统队长的极限分布

关于GI／G／1排队系统队长的极限分布存在的一个充分条件被建立．     

同步N—策略多重休假M／M／c排队

研究了具有同步N-策略多重休假的M／M／c排队系统．在休假时间服从相型（PH）分布的假设下，给出了系统的稳态指标．证明在已知服务台全忙并且系统中顾客数大于或等于N的条件下，条件随机变量可分解成独立随机变量之和，其中一个是无休假经典M／M／c系统中的对应条件变量，另一个是休假引起的附加随机变量     

具有N—策略休假的M／G／1排除的同分解与最优策略

本文利用向量Ｍａｒｋｏｖ过程方法，研究了具有Ｎ－策略休假且休假时间为一般分布的Ｍ／Ｇ／１排队。它的两种特殊情况分别是具有多重休假的Ｍ／Ｇ／１排队和具有Ｎ－策略控制的Ｍ／Ｇ／１排队。     

GI／G／1排队系统的队长和等待时间的瞬时分布

本是[1，2]的继续,在本中利用马氏骨架过程给出了GI／G／1排队系统的队长的瞬时分布的另一新的计算方法和等待时间的计算方法。     

关于M／M／1排队系统中两个公式的证明

本文对Ｎ．Ｕ．Ｐｒａｂｈｕ在［１，Ｐ．３３］中的关于Ｍ／Ｍ／１系统中到第ｎ个顾客到达止全部闲期的极限分布予以严格证明、对［１，Ｐ．３２］中的关于Ｍ／Ｍ／１系统中的一个公式给出不利用复变函数论的初等证明．     

关于M／M~［r］／1系统的一个注记

徐光辉［１，第六章§１］讨论了成批服务系统Ｍ／Ｍ［ｒ］／１，并在ｌｉｍＰｊ（ｔ）＝Ｐｊ＞０假设下，求出马氏过程Ｎ（ｔ）的平稳分布｛Ｐｉ｝，李文琦等在［２，Ｐ１６８８］指出［１．Ｐ２１８—２１９］给出的关于ｌｉｍＰｊ（ｔ）＝Ｐｊ＞０的证明是不准确的，并利用Ｆｏｓｔｅｒ判别法给出Ｎ（ｔ）的遍历性的严格证明。本文指出Ｎ（ｔ）的遍历性可由Ｐｉｊ（△ｔ）的表达式及Ｔａｋａｃｓ［４，Ｐ９４定理２］推出。     

Asymptotic behavior of the loss probability for an M/G/1/N queue with vacations

In this paper, asymptotic properties of the loss probability are considered for an M/G/1/N queue with server vacations and exhaustive service discipline, denoted by an M/G/1/N-(V, E)-queue. Exact asymptotic rates of the loss probability are obtained for the cases in which the traffic intensity is smaller than, equal to and greater than one, respectively. When the vacation time is zero, the model considered degenerates to the standard M/G/1/N queue. For this standard queueing model, our analysis provides new or extended asymptotic results for the loss probability. In terms of the duality relationship between the M/G/1/N and GI/M/1/N queues, we also provide asymptotic properties for the standard GI/M/1/N model.     

Bayesian analysis of M/Er/1 and M/H_k/1 queues

This paper describes Bayesian inference and prediction for some M/G/1 queueing models. Cases when the service distribution is Erlang, hyperexponential and hyperexponential with a random number of components are considered. Monte Carlo and Markov chain Monte Carlo methods are used for estimation of quantities of interest assuming the queue is in equilibrium. This revised version was published online in June 2006 with corrections to the Cover Date.     

Departure Processes of BMAP/G/1 Queues

A unified approach is applied to analyze the departure processes of finite/infinite BMAP/G/1 queueing systems for both vacationless and vacation arrangements via characterizing the moments, the z-transform of the scaled autocovariance function of interdeparture times C _P (z), and lag n (n1) covariance of interdeparture times. From a structural point of view, knowing departure process helps one to understand the impact of service mechanisms on arrivals. Through numerical experiments, we investigate and discuss how the departure statistics are affected by service and vacation distributions as well as the system capacity. From a practical perspective, output process analysis serves to bridge the nodal performance and connectionwise performance. Our results can be then used to facilitate connection- or networkwise performance analysis in the current high-speed networks.     

M/MGk,B/1算子的预解集

本文证明了M/Gk,B/1算子的预解集含于除原点外的虚轴.     

M/G/1/MLPS compared with M/G/1/PS within service time distribution class IMRL

Multilevel processor-sharing (MLPS) disciplines were originally introduced by Kleinrock (in computer applications 1976) but they were forgotten for years. However, due to an application related to the service differentiation between short and long TCP flows in the Internet, they have recently gained new interest. In this paper we show that, if the service time distribution belongs to class IMRL, the mean delay in the M/G/1 queue is reduced when replacing the PS discipline with any MLPS discipline for which the internal disciplines belong to {FB, PS}. This is a generalization of our earlier result where we restricted ourselves to the service time distribution class DHR, which is a subset of class IMRL.     

Busy period analysis of the state dependent M/M/1/K queue

In this paper, we study the transient behavior of a state dependent M/M/1/K queue during the busy period. We derive in closed-form the joint transform of the length of the busy period, the number of customers served during the busy period, and the number of losses during the busy period. For two special cases called the threshold policy and the static policy we determine simple expressions for their joint transform.     

GI／G／1单重休假随机服务系统的马氏骨架方法

文献[1]引入一类具有广泛应用前景的随机过程-Markov骨架过程。借助Markov骨架过程的方法研究GI/G/1单重休假服务系统队长，及t时刻到达顾客等待时间的瞬时概率分布。     

M/G/1/MLPS compared to M/G/1/PS

Multilevel processor sharing scheduling disciplines have recently been resurrected in papers that focus on the differentiation between short and long TCP flows in the Internet. We prove that, for M/G/1 queues, such disciplines are better than the processor sharing discipline with respect to the mean delay whenever the hazard rate of the service time distribution is decreasing.