{"title":"QEST 2021 特刊简介","authors":"Alessandro Abate, Andrea Marin","doi":"10.1145/3631707","DOIUrl":null,"url":null,"abstract":"The International Conference on Quantitative Evaluation of SysTems (QEST) is the leading forum on evaluation and verification of computer systems and networks, through stochastic models and measurements. QEST covers topics including classic measures involving performance and reliability, as well as quantification of properties that are classically qualitative, such as safety, correctness, and security. QEST welcomes measurement-based studies as well as analytic studies, diversity in the model formalisms and methodologies employed, as well as development of new formalisms and methodologies. In short, QEST aims to encourage all aspects of work centered around creating a sound methodological basis for assessing and designing systems using quantitative means. This special issue consists of five articles extending earlier versions presented at QEST 2021, the 18th edition of the conference, which was hosted in Paris but virtually held August 23 through 27, 2021. A selection of the top-ranked conference papers was chosen by the chairs, and the authors were invited to submit an extended version to this special issue. The journal review process included both members of the QEST program committee and additional reviewers who were not involved in the conference refereeing process. The resulting collection of articles comprises exciting developments in the areas of system verification and performance or reliability analysis. 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引用次数: 0
摘要
系统定量评估(QEST)国际会议是通过随机模型和测量对计算机系统和网络进行评估和验证的主要论坛。QEST 涵盖的主题包括涉及性能和可靠性的经典测量方法,以及对安全性、正确性和安全性等经典定性属性的量化。QEST 既欢迎基于测量的研究,也欢迎基于分析的研究,欢迎所采用的模型形式和方法的多样性,也欢迎新形式和新方法的开发。总之,QEST 的目的是鼓励围绕建立健全的方法论基础开展各方面的工作,以便利用定量手段评估和设计系统。本特刊由五篇文章组成,这些文章扩展了在第 18 届 QEST 2021 会议上发表的早期版本,该会议于 2021 年 8 月 23 日至 27 日在巴黎举行。会议主席挑选了一些排名靠前的论文,并邀请作者向本期特刊提交扩展版本。期刊评审过程包括 QEST 项目委员会成员和未参与会议评审过程的其他评审人员。最终收集的文章包括系统验证和性能或可靠性分析领域令人振奋的进展。da Silva、Schupp 和 Remke 在题为 "Optimizing Reachability Probabilities for a Restricted Class of SHA via Flowpipe Construction"(通过流管结构优化受限类 SHA 的可达性概率)的文章中写道
The International Conference on Quantitative Evaluation of SysTems (QEST) is the leading forum on evaluation and verification of computer systems and networks, through stochastic models and measurements. QEST covers topics including classic measures involving performance and reliability, as well as quantification of properties that are classically qualitative, such as safety, correctness, and security. QEST welcomes measurement-based studies as well as analytic studies, diversity in the model formalisms and methodologies employed, as well as development of new formalisms and methodologies. In short, QEST aims to encourage all aspects of work centered around creating a sound methodological basis for assessing and designing systems using quantitative means. This special issue consists of five articles extending earlier versions presented at QEST 2021, the 18th edition of the conference, which was hosted in Paris but virtually held August 23 through 27, 2021. A selection of the top-ranked conference papers was chosen by the chairs, and the authors were invited to submit an extended version to this special issue. The journal review process included both members of the QEST program committee and additional reviewers who were not involved in the conference refereeing process. The resulting collection of articles comprises exciting developments in the areas of system verification and performance or reliability analysis. In the contribution titled “Optimizing Reachability Probabilities for a Restricted Class of SHA via Flowpipe Construction,” da Silva, Schupp, and Remke
期刊介绍:
The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods.
The use of simulation techniques is pervasive, extending to virtually all the sciences. TOMACS serves to enhance the understanding, improve the practice, and increase the utilization of computer simulation. Submissions should contribute to the realization of these objectives, and papers treating applications should stress their contributions vis-á-vis these objectives.