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Proceedings of the Fourth International Workshop on Petri Nets and Performance Models PNPM91最新文献

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Petri net modelling of Occam programs for detecting indeterminacy, non-termination and deadlock anomalies 用于检测不确定性、非终止和死锁异常的Occam程序的Petri网建模
Zhi-Wu Xu, O. Vel
The authors present a graph model based on Petri nets that can be used as a software development tool for parallel computational programs written in the Occam language. In parallel computing the cooperation aspect of concurrency is emphasized, rather than the competitive aspect of multiple processes found in operating system applications. In developing and debugging a parallel computational program, users often want to ensure that their program will terminate (that is, it stops in finite time) and be determinate (that is, the same input data always produce the same result). Using the Petri net graph model, termination and determinacy can be mathematically defined, and algorithms for detecting these properties developed. In fact, the graph model defines an operational semantics for a non-trivial subset of Occam, and can be used as a pedagogical aid as well as a tool for developing and synthesizing Occam programs in parallel computing applications.<>
作者提出了一个基于Petri网的图形模型,该模型可以作为Occam语言编写的并行计算程序的软件开发工具。在并行计算中,强调并发性的合作方面,而不是操作系统应用程序中多个进程的竞争方面。在开发和调试并行计算程序时,用户通常希望确保他们的程序将终止(即在有限时间内停止)并确定(即相同的输入数据总是产生相同的结果)。使用Petri网图模型,可以在数学上定义终止和确定性,并开发了检测这些属性的算法。事实上,图模型为Occam的一个非平凡子集定义了一个操作语义,可以用作教学辅助,也可以用作在并行计算应用程序中开发和综合Occam程序的工具。
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引用次数: 5
Searching best paths to worst states 寻找通往最差状态的最佳路径
G. Florin, C. Fraize, S. Natkin
Probabilistic validation is a new approach to deal with large state transitions systems. The user's need is to prove that, for a given period of operations, that a given assertion on the reached states is true with a sufficient level of probability. The system to be validated is modeled by a stochastic Petri net. The analysis relies on a partial exploration of the reachability set and tries to reach as quickly as possible critical states (states in which the assertion is not verified). An exact linear program solution allows to 'travel' through the graph. The main goal of the paper is to present the principles of this searching algorithm.<>
概率验证是处理大状态转移系统的一种新方法。用户需要证明的是,对于给定的操作周期,关于到达状态的给定断言具有足够的概率为真。待验证系统采用随机Petri网建模。分析依赖于对可达性集的部分探索,并试图尽可能快地达到关键状态(断言未被验证的状态)。一个精确的线性程序解允许在图中“旅行”。本文的主要目的是给出该搜索算法的原理。
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引用次数: 3
Dealing with arbitrary time distributions with the stochastic timed Petri net model-application to queueing systems 随机时间Petri网模型处理任意时间分布——在排队系统中的应用
G. Juanole, Y. Atamna
The ability of the stochastic timed Petri net model for dealing with a great variety of firing time distributions is presented. The distributions can be: continuous (exponential or uniform); discrete (including the particular case of a deterministic distribution with a zero firing time (immediate transition) or a non zero firing time); mixed. This ability is based on a method of tractable computation whatever the distribution (in particular the difficult cases of the discrete and mixed distributions), for obtaining a randomized state graph (which represents the dynamic behaviour of the system being modelled). Applications to queueing systems are considered: the queue M/G/1; the queue M/G/1/K. A general method for analysing queueing systems, which is based on an interpretation of the randomized state graph, is presented.<>
给出了随机定时Petri网模型处理多种射击时间分布的能力。分布可以是连续的(指数或均匀);离散的(包括具有零发射时间(立即过渡)或非零发射时间的确定性分布的特殊情况);好坏参半。这种能力是基于一种易于处理的计算方法,无论分布如何(特别是离散和混合分布的困难情况),都可以获得随机状态图(代表被建模系统的动态行为)。考虑排队系统的应用:队列M/G/1;队列M/G/1/K。提出了一种基于随机状态图解释的分析排队系统的一般方法。
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引用次数: 31
An improved numerical algorithm for calculating steady-state solutions of deterministic and stochastic Petri net models 一种计算确定性和随机Petri网模型稳态解的改进数值算法
C. Lindemann
Introduces an algorithm for calculating steady-state solutions of DSPN models. The described method employs the randomization technique enhanced by a stable calculation of Poisson probabilities. A complete re-design and re-implementation of the appropriate components implemented in the version 1.4 of the software package GreatSPN has lead to significant savings in both computation time and memory space. These benefits are illustrated by DSPN models taken from the literature. The author considers DSPN models for an E/sub r//D/1/K queueing system and a fault-tolerant clocking system. These examples show that the model solutions are calculated with significantly less computational effort and a better error control by the algorithm described than by the method implemented in the version 1.4 of the software package GreatSPN.<>
介绍了一种计算DSPN模型稳态解的算法。所描述的方法采用稳定的泊松概率计算增强的随机化技术。在软件包GreatSPN的1.4版本中完全重新设计和重新实现了适当的组件,从而大大节省了计算时间和内存空间。从文献中提取的DSPN模型说明了这些好处。本文研究了E/sub / r//D/1/K排队系统和容错时钟系统的DSPN模型。这些实例表明,与GreatSPN.>软件包1.4版中实现的方法相比,所描述的算法计算模型解的计算量大大减少,并且具有更好的误差控制
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引用次数: 95
Estimating the mean cycle time for stochastic safe marked graphs 随机安全标记图的平均周期时间估计
J. Magott, Kamil Skudlarski
Stochastic safe marked graphs with exponentially distributed firing time of timed transitions are investigated. An approximate method for estimating the mean cycle time is proposed. The method gives a value that tends to be greater than the exact one. It is of polynomial computational complexity. The estimate is much better than the best PERT network upper bound for networks with exponentially distributed durations of activities. The method is compared with the best upper bound for mean cycle time of stochastic marked graphs. The reasons of error of the above two methods are different. Therefore, one of the methods completes the other, and for given stochastic safe marked graphs one can choose the better one from the two estimates. The approximate method can be used for estimating the mean time of stochastic safe marked graphs with NBUE distributed firing times.<>
研究了随时间跃迁发射时间呈指数分布的随机安全标记图。提出了一种估计平均周期时间的近似方法。该方法给出的值往往大于确切的值。它的计算复杂度是多项式。对于活动持续时间呈指数分布的网络,该估计比最佳PERT网络上界要好得多。将该方法与随机标记图平均周期时间的最佳上界进行了比较。上述两种方法产生误差的原因是不同的。因此,其中一种方法完成了另一种方法,对于给定的随机安全标记图,可以从两种估计中选择较好的一种。该近似方法可用于估计具有NBUE分布射击时间的随机安全标记图的平均时间
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引用次数: 0
A decomposition approach for stochastic Petri net models 随机Petri网模型的分解方法
G. Ciardo, Kishor S. Trivedi
The authors present a decomposition approach for the solution of large stochastic Petri nets (SPNs). The overall model consists of a set of submodels whose interactions are described by an import graph. Each node of the graph corresponds to a parametrized SPN submodel and an arc from submodel A to submodel B corresponds to a parameter value that B must receive from A. The quantities exchanged between submodels are based on only three primitives. The import graph is normally cyclic, so the solution method is based on fixed point iteration. The authors apply their technique to the analysis of a flexible manufacturing system.<>
提出了求解大型随机Petri网的一种分解方法。整个模型由一组子模型组成,这些子模型的相互作用由导入图描述。图的每个节点对应于一个参数化的SPN子模型,从子模型a到子模型B的弧对应于B必须从a接收的参数值。子模型之间交换的数量仅基于三个原语。由于导入图通常是循环的,所以求解方法是基于不动点迭代。作者将他们的技术应用于柔性制造系统的分析
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引用次数: 106
On periodic schedules for deterministically timed Petri net systems 确定性定时Petri网系统的周期调度
K. Onaga, Manuel Silva, Toshimasa Watanabe
Introduces a Petri net based perspective to periodic schedules. These are classified, according to the time interpretation in multiple-server semantics and/or transitions firing periodicity constraints, into strict and general periodic schedules. Using a net transformation rule, the computation of the general schedule class can be done through techniques for the strict subclass. A necessary and sufficient condition for the feasibility of a strict periodic schedule is given. Estimating the truncation error at initial firing time epoch tau /sub 1/ allows to get linear systems of inequalities as necessary conditions for a schedule to be feasible. An linear programming (LP) based heuristic approach is proposed to deal with the computation of 'optimum' (i.e. minimal time) strict periodic schedules under the single-server semantics.<>
介绍基于Petri网的周期进度表透视图。根据多服务器语义中的时间解释和/或触发周期性约束的转换,这些计划分为严格的和一般的周期性计划。利用净变换规则,可以通过严格子类的技术来完成一般调度类的计算。给出了严格周期计划可行的充分必要条件。估计初始发射时间τ /sub 1/的截断误差可以得到线性不等式系统,作为调度可行的必要条件。提出了一种基于线性规划(LP)的启发式方法来处理单服务器语义下的“最优”(即最短时间)严格周期调度的计算。
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引用次数: 23
Throughput lower bounds for Markovian Petri nets: transformation techniques 马尔可夫Petri网的吞吐量下界:转换技术
J. Campos, Beatriz Sánchez, M. Suárez
Addresses the computation of lower bounds for the steady-state throughput of stochastic Petri nets with immediate and exponentially distributed service times of transitions. The authors try to deeply bridge stochastic Petri net theory to untimed Petri net and queueing networks theories. Previous results for general service time distributions are improved for the case of Markovian nets by considering some pessimistic transformation rules operating locally on the net structure, its initial marking, and stochastic interpretation. Special interest have the obtained results for the case of live and bounded free choice nets and live marked graphs systems.<>
研究了具有瞬时服务时间和指数分布服务时间的随机Petri网稳态吞吐量下界的计算。作者试图将随机Petri网理论与非定时Petri网和排队网络理论深入地联系起来。通过考虑网络结构的局部悲观变换规则、初始标记和随机解释,改进了马尔可夫网络的一般使用时间分布的结果。特别对活的、有界的自由选择网和活的标记图系统的情形得到了一些结果。
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引用次数: 21
Subnetwork time distributions as a means for multilevel evaluation of generalized stochastic Petri nets 子网络时间分布作为广义随机Petri网多层评价的手段
G. Klas, Reinhard Matuschka
A new hierarchical evaluation procedure for generalized stochastic Petri nets (GSPN) is being presented. It is based on extensions of flow equivalent aggregation (FEA). At every level of hierarchy, subnets are approximated by substitute networks. As criterion for the similarity of the networks, the subnetwork time distribution (STD) is used which is the sojourn time distribution of a token X in a subnet conditioned on the token distribution at the epoch of arrival of X and the context into which the net is embedded for determining the STD. The computation of a substitute network's type and parameters is outlined. The performance of this technique called FEAD (FEA based on subnetwork time distribution) is discussed by means of examples.<>
提出了一种新的广义随机Petri网(GSPN)分级评价方法。它是基于流动等效聚集(FEA)的扩展。在每一层次结构中,子网都是由替代网络近似表示的。采用子网时间分布(STD)作为判定网络相似性的标准,即令牌X在子网中的停留时间分布,该时间分布取决于令牌X到达时间点的分布和网络所处的环境,并给出了替代网络类型和参数的计算方法。通过实例讨论了基于子网时间分布的FEAD (FEA based on subnetwork time distribution)技术的性能
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引用次数: 5
Performance model of interference avoidance policy using stochastic Petri nets 基于随机Petri网的干扰避免策略性能模型
Takashi Kobayashi, K. Kurihara
A new method is described for analyzing scheduling policy for interference avoidance. The traditional queuing theory assuming a first-come-first-served policy is not suitable for analyzing scheduling policy. Stochastic Petri net (SPN) is suitable for analyzing scheduling policy, because with it job arrival states, resource assignment states, and job flow due to these states can be modeled. However, if the scheduling logic is described in detail with SPN, a combinatorial explosion is soon encountered. Therefore, a new method is proposed to cut down the size of SPN model and to analyze the control policy of a magnetic tape library.<>
提出了一种新的抗干扰调度策略分析方法。传统的排队理论假设先到先得的策略不适合分析调度策略。随机Petri网(Stochastic Petri net, SPN)适用于调度策略分析,因为它可以对作业到达状态、资源分配状态以及由这些状态引起的作业流进行建模。然而,如果用SPN详细描述调度逻辑,很快就会遇到组合爆炸。为此,提出了一种减小SPN模型大小和分析磁带库控制策略的新方法。
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Proceedings of the Fourth International Workshop on Petri Nets and Performance Models PNPM91
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