多重休假GI／G／1排队系统的非统计平衡理论

文献[1]引入了一类具有广泛应用前景的随机过程-Markov骨架过程，文献[2]研究了GI/G/1排队系统，本文对其进行了拓展，研究了多重休假GI/G/1排队模型。求出了此模型的到达过程，等待时间及队长的概率分布。     

启动时间的GI／G／1排队系统的非平衡理论

本文利用侯振挺等提出的马尔可夫骨架过程理论讨论了启动时间的GI/G/I排队系统，得到了此系统到达过程，队长，及等待时间的概率分布/     

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。     

GI^（1）＋GI^（2）／G／1排队模型

对于GI^(1) GI^(2)/G/I排队模型,本借助献[1]中引入的Markov骨架过程方法求出了此模型到达过程,等待时间及队长的概率分布。     

SMAP／INDI／1单重休假随机服务系统的MSP方法

本文借助于马尔可夫骨架过程(MSP)方法研究了SMAP/INID/1单重休假随机服务系统的队长及等待时间等指标的瞬时分布.     

具有随机N—策略的M／G／1排队系统

本文讨论具有随机N-策略的M/G/1排队系统,采用向量Markov过程方法得到该系统有关的排队指标。上述结果可以看作是普通的和N-策略的M/G/1排队系统的推广。     

N-策略休假GI-X／G／1排队系统队长的瞬时分布

本文应用Markov骨架过程理论研究了N-休假策略GI~X/G/1排队系统,并得到了队长的瞬时分布.     

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。     

M／M^r／1／N排队系统

本文讨论了等待空间有限的成批服务排队系统M/M~r/1/N,给出队长平稳分布的精确解.还得到了系统损失概率和平均输出间隔的精确值.     

GI/G/1排队系统队长的强大数定律和中心极限定理

本文首先证明当服务强度小于1时,GI/G/1排队系统的队长是一个特殊的马尔可夫骨架过程——正常返的Doob骨架过程,然后运用马尔可夫骨架过程的强大数定律和中心极限定理等重要结果,给出了队长的累积过程的期望和方差,并给出了该累积过程满足强大数定律和中心极限定理的充分条件。     

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.     

具有剩余寿命的M/G/1/K排队模型非负解的存在唯一性

研究了以剩余寿命作为增补变量的M／G／1／K排队模型．利用泛函分析中线性算子半群的积分半群理论讨论了该模型的瞬态解的存在唯一性问题．     

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.     

AnM/M/c queue with impatient customers

This paper considers theM/M/c queue in which a customer leaves when its service has not begun within a fixed interval after its arrival. The loss probability can be expressed in a simple formula involving the waiting time probabilities in the standardM/M/c queue. The purpose of this paper is to give a probabilistic derivation of this formula and to outline a possible use of this general formula in theM/M/c retrial queue with impatient customers. This research was supported by the INTAS 96-0828 research project and was presented at the First International Workshop on Retrial Queues, Universidad Complutense de Madrid, Madrid, September 22–24, 1998.     

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.     

Performance analysis of discrete-time queue GI/G/1 with negative arrivals

In this paper, we consider a discrete-time GI/G/1 queueing model with negative arrivals. By deriving the probability generating function of actual service time of ordinary customers, we reduced the analysis to an equivalent discrete-time GI/G/1 queueing model without negative arrival, and obtained the probability generating function of buffer contents and random customer delay.     

Analysis of the GI/Geo/1 Queue with Disasters

The occurrence of disasters to a queueing system causes all customers to be removed if any are present. Although there has been much research on continuous-time queues with disasters, the discrete-time Geo/Geo/1 queue with disasters has appeared in the literature only recently. We extend this Geo/Geo/1 queue to the GI/Geo/1 queue. We present the probability generating function of the stationary queue length and sojourn time for the GI/Geo/1 queue. In addition, we convert our results into the Geo/Geo/1 queue and the GI/M/1 queue.     

M/M/1算子的特征值及其应用(英文)

讨论 Ｍ／Ｍ／１算子的谱特征,证明０是 Ｍ／Ｍ／１算子的几何重数为 １的特征值,并且对应的特征向量是正的,作为应用给出了排队论中四个指标：系统中顾客的平均逗留时间,顾客的平均等待时间,顾客总数及等待的顾客总数的计算方法．