具有Min(N,D)-策略控制的M/G/1可修排队系统及最优控制策略

考虑基于Min(N,D)-策略控制的M/G/1可修排队系统,其中服务台在服务员忙期中可能发生故障.使用全概率分解技术和拉普拉斯变换工具,讨论了系统的排队指标,同时重点讨论了服务台的一些可靠性指标,即服务台首次失效前的寿命分布、不可用度和(0,t]时间内的平均失效次数.最后,通过建立系统的费用模型,用数值计算实例讨论了最优控制策略(N~*,D~*).     

具有工作量D-策略不可靠修理设备和不中断休假的M((λ1,λ2))/G/1排队的可靠性

本文研究在基于服务员工作量的D-策略控制下具有可变到达率和不中断单重休假M⁽(λ₁,λ₂))/G/1可修排队模型,其中修理设备在修理故障服务台期间可发生失效且可更换.当服务员休假结束归来时,如果服务员对系统中等待服务的顾客所需服务的总工作量不小于事先设置的工作量阀值D(D≥0),服务员就立即开始服务.运用更新过程理论、全概率分解技术和拉普拉斯变换工具,分别讨论了服务台和修理设备的瞬态不可用度和稳态不可用度、(0, t]时间内的平均故障次数和稳态故障频度这一系列可靠性指标.     

N-控制策略且温储备失效M/G/1可修排队的可靠性指标

本文研究N-门限值进入控制策略且温储备失效M/G/1可修排队系统, 其中系统在处于温储备失效的状态下最多容许N(1)个顾客进入系统。 运用全概率分解技术和拉普拉斯变换工具, 对服务台第一次失效前的寿命概率分布、不可用度、(0,t]时间内的平均失效次数以及处于温储备失效而等待修理的概率等可靠性指标进行了讨论, 并给出了其稳态结果表达式。 最后, 通过数值实例分析了服务台因温储备故障的稳态不可用度和稳态故障频度随一些参数的变化情况。     

推广的单重休假M~x/G/1排队系统

研究了服务前需要重新调整机器的单重休假Mx/G/1排队系统,在LS变换和L变换下得到了服务员忙期中队长的瞬态分布和队长稳态分布的概率母函数.     

延迟Min(N,D)-策略下M/G/1排队系统的离去过程

考虑延迟Min(N, D)-策略下M/G/1排队系统的离去过程.运用全概率分解技术、更新过程理论和Laplace-Stieltjes变换,从任意初始状态出发,讨论在有限区间(0, t]内离去顾客的平均数,给出了离去过程、服务员状态过程和服务员忙期中的服务更新过程之间的关系,该关系揭示了离去过程的随机分解特性,并得到了离去顾客平均数的渐近展开式.在排队网络中,由于一个排队系统的输出即为下游排队系统的输入,希望本文所得结果为排队网络的研究提供有用的信息.     

推广的多重休假$M^X/G/1$排队系统

在平稳状态下,Baba利用补充变量方法研究了多重休假的MX/G/1排队,但作者假定了休假时间和服务时间都有概率密度函数.本文考虑推广的多重休假MX/G/1排队,在假定休假时间和服务时间都是一般概率分布函数下,我们研究了队长的瞬态和稳态性质.通过引进"服务员忙期"和使用不同于Baba文中使用的分析技术,我们导出了在任意时刻t瞬态队长分布的L变换的递推表达式和稳态队长分布的递推表达式,以及平稳队长的随机分解.特别地,通过本文可直接获得多重休假的M/G/1与标准的MX/G/1排队系统相应的结果.     

带启动-关闭期的多重休假M/G/1排队系统的队长分布

研究带启动—关闭期的多重休假M/G/1排队系统,讨论了队长的瞬态和稳态性质.通过引进的"服务员忙期"和使用全概率分解技术,导出了在任意时刻t队长的瞬态分布的L变换的递推表达式和稳态队长分布的递推表达式,以及稳态队长的随机分解结果.     

服务员假期中以概率p进入的M/G/1排队系统的随机分解

该文研究M/G/1多重休假排队系统，其中在服务员休假中到达顾客以概率p(0≤p≤1)进入。通过引进“服务员忙期”和使用拉普拉斯变换或拉普拉斯— —司梯阶变换，我们获得队长瞬态分布的拉普拉斯变换和稳态分布的递推表达式，进一步得到稳态队长分布的随机分解和在特殊情况下相应的一些结果。     

古典风险模型的破产概率与M/G/1忙期的最大工作量的分布

本文考虑了古典风险模型与排队论中M/G/1模型关系, 利用古典风险模型的破产概率导出了M/G/1中一个忙期内最大工作量的分布.     

N-策略单重休假M/G/1排队系统的队长分布

本文考虑N-策略单重休假M/G/1排队系统,通过引进"服务员忙期"和使用全概率分解技术,从任意初始状态出发,研究了队长的瞬态分布和稳态分布,首次导出了在任意时刻t瞬态队长分布的L变换的递推表达式和稳态队长分布的递推表达式,以及平稳队长的随机分解.特别地,通过本文可直接获得一些特殊排队系统相应的结果.     

G／G／1排队系统的渐近泊松离去过程

本文给出了Ｇ／Ｇ／１排队系统的离去过程的有限维分布弱收敛到泊松过程的有限维分布的条件,特别给出了生灭排队系统及Ｇ／Ｍ／１排队系统的离去过程的有限维分布弱收敛到泊松过程的有限维分布的简单条件．     

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.     

推广的M~x/G(M/G)/1(M/G)可修排队系统(I)── 一些排队指标

考虑M     

Mean Waiting Time Approximations in the G/G/1 Queue

It is known that correlations in an arrival stream offered to a single-server queue profoundly affect mean waiting times as compared to a corresponding renewal stream offered to the same server. Nonetheless, this paper uses appropriately constructed GI/G/1 models to create viable approximations for queues with correlated arrivals. The constructed renewal arrival process, called PMRS (Peakedness Matched Renewal Stream), preserves the peakedness of the original stream and its arrival rate; furthermore, the squared coefficient of variation of the constructed PMRS equals the index of dispersion of the original stream. Accordingly, the GI/G/1 approximation is termed PMRQ (Peakedness Matched Renewal Queue). To test the efficacy of the PMRQ approximation, we employed a simple variant of the TES⁺ process as the autocorrelated arrival stream, and simulated the corresponding TES ⁺/G/1 queue for several service distributions and traffic intensities. Extensive experimentation showed that the proposed PMRQ approximations produced mean waiting times that compared favorably with simulation results of the original systems. Markov-modulated Poisson process (MMPP) is also discussed as a special case.     

Optimal Flow Control of a G/G/c Finite Capacity Queue

The optimal flow control of a G/G/c finite capacity queue is investigated by approximating the general (G-type) distributions by a maximum entropy model with known first two moments. The flow-control mechanism maximizing the throughput, under a bounded time-delay criterion, is shown to be of window type (bang-bang control). The optimal input rate and the maximum number of packets in the system (i.e. sliding window size) are derived in terms of the maximum input rate and the second moment of the interinput time, the maximum allowed average time delay, the first two moments of the service times and the number of servers. Moreover, the relationship between the maximum throughput and maximum time delay is determined. Numerical examples provide useful information on how critically the optimal throughput is affected by the distributional form of the input and service patterns and the finite capacity of the queue.     

Erratum: Analyzing the Steady-State Queue G1 X /G/1

Journal of the Operational Research Society -     

Markov-modulatedPH/G/1 queueing systems

We study a PH/G/1 queue in which the arrival process and the service times depend on the state of an underlying Markov chain J(t) on a countable state spaceE. We derive the busy period process, waiting time and idle time of this queueing system. We also study the Markov modulated E_K/G/1 queueing system as a special case.     

A Maximum Entropy Analysis of the G/G/1 Queue at Equilibrium

The principle of maximum entropy is used to analyse a G/G/1 queue at equilibrium when the constraints involve only the first two moments of the interarrival-time and service-time distributions. Robust recursive relations for the queue-length distribution are determined, and a probability density function analogue is characterized. Furthermore, connections with classical queueing theory and operational analysis are established, and an overall approximation, based on the concept of ‘global’ maximum entropy, is introduced. Numerical examples provide useful information on how critically system behaviour is affected by the distributional form of the interarrival and service times, and favourable comparisons are made with diffusion and other approximations. Comments on the implication of the work to the analysis of more general queueing systems are included.     

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.