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Perform. Evaluation最新文献

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Product-form and stochastic Petri nets: a structural approach 积型和随机Petri网:一种结构方法
Pub Date : 2005-03-01 DOI: 10.1016/j.peva.2004.08.004
S. Haddad, P. Moreaux, M. Sereno, M. Suárez
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引用次数: 24
Call-burst blocking of ON-OFF traffic sources with retrials under the complete sharing policy 在完全共享策略下,具有重试的ON-OFF流量源的呼叫突发阻塞
Pub Date : 2005-03-01 DOI: 10.1016/j.peva.2004.06.003
I. Moscholios, M. Logothetis, G. Kokkinakis
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引用次数: 35
Priority queueing with finite buffer size and randomized push-out mechanism 具有有限缓冲区大小和随机推出机制的优先级队列
Pub Date : 2003-06-11 DOI: 10.1145/781027.781079
Konstantin Avrachenkov, N. O. Vilchevsky, G. Shevlyakov
The non-preemptive priority queueing with a flnite bufier is considered. We introduce a randomized push-out bufier management mechanism which allows to control very e‐ciently the loss probability of priority packets. The packet loss probabilities for priority and non-priority tra‐c are calculated using the generating function approach. In the particular case of the standard non-randomized push-out scheme we obtain explicit analytic expressions. The theoretical results are illustrated by numerical examples. The randomized push-out scheme is compared with the threshold based push-out scheme. It turns out that the former is much easier to tune than the latter. The proposed scheme can be applied to the Difierentiated Services of the Internet.
考虑了具有限时缓冲区的非抢占式优先级队列。我们引入了一种随机推出缓冲区管理机制,可以非常有效地控制优先级数据包的丢失概率。使用生成函数方法计算了优先级和非优先级传输的丢包概率。在标准非随机推出方案的特殊情况下,我们得到了显式解析表达式。通过数值算例对理论结果进行了验证。将随机推出方案与基于阈值的推出方案进行了比较。事实证明,前者比后者更容易调谐。该方案可应用于互联网的差异化服务。
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引用次数: 54
A mixture model for the connection holding times in the Video-on-Demand service 视频点播服务中连接保持时间的混合模型
Pub Date : 2002-01-01 DOI: 10.1016/S0166-5316(01)00054-2
M. Naldi
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引用次数: 6
G-networks with resets 有重置的g网络
Pub Date : 2001-12-01 DOI: 10.1145/507553.507560
E. Gelenbe, J. Fourneau
Gelenbe Networks (G-networks) are a class of queuing models which include new types of customers called "signals," which are either "negative customers" and "triggers" [1, 2]. Queuing networks typically do not have provisions for some customers being used to eliminate other customers, or to redirect other customers among the queues. In other words, customers in traditional queuing netwroks cannot exert direct control on other customers. G-network models overcome some of these limitations and still preserve the computationally attractive "product form" property of certain Marovian queuing networks. In addition to ordinary customers, G-networks contain "negative customers" which eliminate normal customers, and "triggers" which move other customers from some queue to another [4, 5]. Multiple class versions of these models are discussed in [7, 8], and in [9] many additional results are provided. These queuing networks have generated much interest in the literature.
Gelenbe Networks (G-networks)是一类排队模型,其中包括被称为“信号”的新型顾客,这些顾客要么是“负面顾客”,要么是“触发器”[1,2]。排队网络通常没有规定某些客户被用来消除其他客户,或在队列中重定向其他客户。换句话说,传统排队网络中的顾客不能直接控制其他顾客。g网络模型克服了这些限制,并且仍然保留了某些马洛夫排队网络在计算上吸引人的“乘积形式”性质。除了普通顾客外,G-networks还包含“负面顾客”(negative customers)和“触发器”(triggers),前者消除了正常顾客,后者将其他顾客从一个队列转移到另一个队列[4,5]。在[7,8]中讨论了这些模型的多个类版本,在[9]中提供了许多其他结果。这些排队网络在文献中引起了很大的兴趣。
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引用次数: 125
Internet performance modelling 互联网性能建模
Pub Date : 2000-09-01 DOI: 10.1016/S0166-5316(00)00026-2
C. Lindemann, M. Reiser
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引用次数: 0
TCP in presence of bursty losses TCP存在突发损失
Pub Date : 2000-06-17 DOI: 10.1145/339331.350541
E. Altman, Konstantin Avrachenkov, C. Barakat
We analyze in this paper the performance of TCP/IP-like congestion control in the presence of random losses. The input rate in the control scheme that we consider has a linear growth rate; whenever a loss occurs, the input rate is halved. This approximates the performance of several versions of TCP/IP that divide their congestion window by two whatever is the cause of the loss. We propose a mathematical model that allows to account for burstiness as well as for correlation in the loss process. Our aim is to study the impact of burstiness on the throughput of the connection. We compute the expected instantaneous input rate and its moments at some potential loss instants, and provide for a useful implicit expression for the Laplace Stieltjis Transform. This allows us to compute explicitly the average throughput and its moments. We show that the average throughput is indeed sensitive to the distribution of the loss process, and not just to the average loss rate: for a given average loss rate, we show that the throughput increases with the burstiness of the loss process. We finally examine the impact of burstiness of losses on the throughput variability.
本文分析了随机丢失情况下类TCP/ ip拥塞控制的性能。我们所考虑的控制方案中的输入速率具有线性增长率;每当发生损耗时,输入速率减半。这近似于几个版本的TCP/IP的性能,这些版本将它们的拥塞窗口分成两个,无论损失的原因是什么。我们提出了一个数学模型,允许在损失过程中考虑突发性和相关性。我们的目的是研究突发对连接吞吐量的影响。我们计算了期望的瞬时输入率及其在某些潜在损失时刻的矩,并给出了一个有用的拉普拉斯Stieltjis变换的隐式表达式。这允许我们显式地计算平均吞吐量及其力矩。我们证明了平均吞吐量确实对损耗过程的分布敏感,而不仅仅是对平均损失率敏感:对于给定的平均损失率,我们证明了吞吐量随着损耗过程的突发性而增加。最后,我们研究了突发损失对吞吐量可变性的影响。
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引用次数: 104
Providing Heterogeneous Quality of Service Bounds for Correlated Video Traffic at a Multiplexor 在多路复用机上为相关视频业务提供异构业务质量边界
Pub Date : 1999-09-01 DOI: 10.1016/S0166-5316(99)00012-7
A. Adas, A. Mukherjee
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引用次数: 2
Experiments with Improved Approximate Mean Value Analysis Algorithms 改进的近似均值分析算法实验
Pub Date : 1998-09-14 DOI: 10.1007/3-540-68061-6_23
Hai Wang, K. Sevcik
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引用次数: 21
A Transient Discrete-Time Queueing Analysis of the ATM Multiplexer ATM多路复用器的瞬态离散时间排队分析
Pub Date : 1998-04-01 DOI: 10.1016/S0166-5316(97)00020-5
M. M. Asrin, F. Kamoun
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引用次数: 19
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Perform. Evaluation
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