一类具有资源预留的排队网络模型的平均时延估计

Q3 Mathematics
Mariya Shelest
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引用次数: 0

摘要

引言:当今的一项紧迫任务是为复杂的信息系统开发新的分析方法,这些系统现在需要更高的标准来维护数据完整性。这种系统的一个重要质量特征是平均事务处理时间。然而,目前几乎没有用于此类系统的数学模型和速度估计工具。目的:开发和分析一个基于排队网络的分布式信息系统模型。结果:描述了一类需要更高标准来保持数据完整性的信息系统,并给出了相应的假设。提出了一种将这种系统表示为事务路径依赖图的方便方法,将每条路径表示为一个串联排队系统。已经提供了它们的功能特性的计算。这种表示方法使得简化复杂系统的分析成为可能,从而获得用于所讨论的系统类型的时间估计的闭合形式表达式。此外,在随后计算平均事务时间的下界时,考虑了所提出的图的两种分解机制。利用仿真建模方法对两种方法的精度进行了分析。实际相关性:所提出的模型允许在设计阶段估计信息系统的速度限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Average delay estimation for one queueing network model with resource reservation
Introduction: An urgent task of today is to develop new analysis methods for complex information systems that now demand higher standards for maintaining data integrity. One of the important quality characteristics of such systems is average transaction time. However, currently there are almost no mathematical models and speed estimation tools for such systems. Purpose: To develop and analyze a distributed information system model based on queueing networks. Results: A type of information systems that demand higher standards for maintaining data integrity has been described, the corresponding assumptions for such systems are given. A convenient way to represent such systems as transaction paths dependency graphs has been proposed, with each path being represented as one tandem queueing system. The calculation of their functional characteristics have been provided. This method of representation has made it possible to simplify the analysis of complex systems, which resulted in obtaining closed-form expressions for temporal estimation of the system type in question. In addition, two mechanisms of decomposition of the proposed graph are considered with the subsequent calculation of the lower bound for average transaction time. The accuracy of both approaches is analyzed with simulation modeling methods. Practical relevance: The proposed models allow estimating speed limits of an information system during the design phase.
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来源期刊
Informatsionno-Upravliaiushchie Sistemy
Informatsionno-Upravliaiushchie Sistemy Mathematics-Control and Optimization
CiteScore
1.40
自引率
0.00%
发文量
35
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