{"title":"基于FAMVal的并行分析加速了基于仿真的模型检验","authors":"Stefan Leye, Orianne Mazemondet, A. Uhrmacher","doi":"10.1109/EMS.2010.63","DOIUrl":null,"url":null,"abstract":"While model checking is a powerful technique to analyze the properties of a model, it can be very expensive or even impossible, if the model comprises many states that have to be explored. Simulation-based model checking is an alternative, where the properties defined in temporal logics are not checked on the model itself but on traces produced during model execution. However, for stochastic models multiple traces have to be considered. A natural way to increase the efficiency of the analysis of a set of traces is to distribute the analysis runs among a set of computational resources. These resources can be the local cores of a multi-core CPU as well as a computer network. We extended FAMVal (Flexible Architecture for Model Validation) to execute analysis tasks in a parallel and distributed manner and supports the parallelization on both – local multicore machines as well as networks. Furthermore, it allows an exchange of the underlying simulation tool, and arbitrary analysis methods. Experiments based on the modeling and simulation framework James II and with a Wnt/ β -catenin signaling pathway model illustrate the efficiency of parallel simulation-based model checking in FAMVal.","PeriodicalId":161746,"journal":{"name":"2010 Fourth UKSim European Symposium on Computer Modeling and Simulation","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parallel Analysis with FAMVal to Speed Up Simulation-based Model Checking\",\"authors\":\"Stefan Leye, Orianne Mazemondet, A. Uhrmacher\",\"doi\":\"10.1109/EMS.2010.63\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While model checking is a powerful technique to analyze the properties of a model, it can be very expensive or even impossible, if the model comprises many states that have to be explored. Simulation-based model checking is an alternative, where the properties defined in temporal logics are not checked on the model itself but on traces produced during model execution. However, for stochastic models multiple traces have to be considered. A natural way to increase the efficiency of the analysis of a set of traces is to distribute the analysis runs among a set of computational resources. These resources can be the local cores of a multi-core CPU as well as a computer network. We extended FAMVal (Flexible Architecture for Model Validation) to execute analysis tasks in a parallel and distributed manner and supports the parallelization on both – local multicore machines as well as networks. Furthermore, it allows an exchange of the underlying simulation tool, and arbitrary analysis methods. Experiments based on the modeling and simulation framework James II and with a Wnt/ β -catenin signaling pathway model illustrate the efficiency of parallel simulation-based model checking in FAMVal.\",\"PeriodicalId\":161746,\"journal\":{\"name\":\"2010 Fourth UKSim European Symposium on Computer Modeling and Simulation\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Fourth UKSim European Symposium on Computer Modeling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EMS.2010.63\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fourth UKSim European Symposium on Computer Modeling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMS.2010.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
虽然模型检查是一种分析模型属性的强大技术,但如果模型包含许多必须探索的状态,那么它可能非常昂贵甚至不可能。基于仿真的模型检查是另一种选择,在这种情况下,在时间逻辑中定义的属性不是在模型本身上检查,而是在模型执行期间产生的跟踪上检查。然而,对于随机模型,必须考虑多个轨迹。提高一组轨迹分析效率的一种自然方法是在一组计算资源中分配分析运行。这些资源可以是多核CPU的本地核心,也可以是计算机网络。我们扩展了FAMVal (Flexible Architecture for Model Validation),以并行和分布式的方式执行分析任务,并支持本地多核机器和网络的并行化。此外,它允许交换底层仿真工具和任意分析方法。基于建模和仿真框架James II和Wnt/ β -catenin信号通路模型的实验验证了FAMVal中基于并行仿真的模型检查的有效性。
Parallel Analysis with FAMVal to Speed Up Simulation-based Model Checking
While model checking is a powerful technique to analyze the properties of a model, it can be very expensive or even impossible, if the model comprises many states that have to be explored. Simulation-based model checking is an alternative, where the properties defined in temporal logics are not checked on the model itself but on traces produced during model execution. However, for stochastic models multiple traces have to be considered. A natural way to increase the efficiency of the analysis of a set of traces is to distribute the analysis runs among a set of computational resources. These resources can be the local cores of a multi-core CPU as well as a computer network. We extended FAMVal (Flexible Architecture for Model Validation) to execute analysis tasks in a parallel and distributed manner and supports the parallelization on both – local multicore machines as well as networks. Furthermore, it allows an exchange of the underlying simulation tool, and arbitrary analysis methods. Experiments based on the modeling and simulation framework James II and with a Wnt/ β -catenin signaling pathway model illustrate the efficiency of parallel simulation-based model checking in FAMVal.