Workshop on Software and Performance最新文献_第7页

Towards a framework for source code instrumentation measurement validation 迈向一个源代码仪器测量验证的框架

Workshop on Software and Performance Pub Date : 2005-07-12 DOI: 10.1145/1071021.1071033

Haleh Najafzadeh, S. Chaiken

引用次数: 5

Modeling the performance of a NAT/firewall network service for the IXP2400 为IXP2400建模NAT/防火墙网络服务的性能

Workshop on Software and Performance Pub Date : 2005-07-12 DOI: 10.1145/1071021.1071035

Tom Verdickt, Wim Van de Meerssche, K. Vlaeminck

引用次数: 4

Applying SPE techniques for modeling a grid-enabled JAVA platform 应用SPE技术对支持网格的JAVA平台进行建模

Workshop on Software and Performance Pub Date : 2005-07-12 DOI: 10.1145/1071021.1071036

Mariela Curiel, M. Pérez, Ricardo González

引用次数: 0

Modeling continuous changes of the user's dynamic behavior in the WWW 对万维网中用户动态行为的持续变化进行建模

Workshop on Software and Performance Pub Date : 2005-07-12 DOI: 10.1145/1071021.1071040

R. Peña-Ortiz, J. Sahuquillo, A. Pont, J. A. Gil

引用次数: 13

From UML models to software performance results: an SPE process based on XML interchange formats 从UML模型到软件性能结果:基于XML交换格式的SPE过程

Workshop on Software and Performance Pub Date : 2005-07-12 DOI: 10.1145/1071021.1071030

C. U. Smith, Catalina M. Lladó, V. Cortellessa, A. Marco, L. Williams

{"title":"From UML models to software performance results: an SPE process based on XML interchange formats","authors":"C. U. Smith, Catalina M. Lladó, V. Cortellessa, A. Marco, L. Williams","doi":"10.1145/1071021.1071030","DOIUrl":"https://doi.org/10.1145/1071021.1071030","url":null,"abstract":"The SPE process uses multiple performance assessment tools depending on the state of the software and the amount of performance data available. This paper describes two XML based interchange formats that facilitate using a variety of performance tools in a plug-and-play manner thus enabling the use of the tool best suited to the analysis. The Software Performance Model Interchange Format (S-PMIF) is a common representation that is used to exchange information between (UML-based) software design tools and software performance engineering tools. On the other hand, the performance model interchange format (PMIF 2.0) is a common representation for system performance model data that can be used to move models among system performance modeling tools that use a queueing network model paradigm. This paper first defines an XML based S-PMIF based on an updated SPE meta-model Then it demonstrates the feasibility of using both the S-PMIF and the PMIF 2.0 to automatically translate an architecture description in UML into both a software performance model and a system performance model to study the performance characteristics of the architecture. This required the implementation of some extensions to the XPRIT software in order to export UML models into the S-PMIF and a new function in the SPEED software to import S-PMIF models, which are also described. The SPE process and an experimental proof of concept are presented.","PeriodicalId":235512,"journal":{"name":"Workshop on Software and Performance","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114709627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 73

From design to analysis models: a kernel language for performance and reliability analysis of component-based systems 从设计到分析模型:用于基于组件的系统的性能和可靠性分析的核心语言

Workshop on Software and Performance Pub Date : 2005-07-12 DOI: 10.1145/1071021.1071024

V. Grassi, R. Mirandola, A. Sabetta

{"title":"From design to analysis models: a kernel language for performance and reliability analysis of component-based systems","authors":"V. Grassi, R. Mirandola, A. Sabetta","doi":"10.1145/1071021.1071024","DOIUrl":"https://doi.org/10.1145/1071021.1071024","url":null,"abstract":"To facilitate the use of non-functional analysis results in the selection and assembly of components for component-based systems, automatic prediction tools should be devised, to predict some overall quality attribute of the application without requiring extensive knowledge of analysis methodologies to the application designer. To achieve this goal, a key idea is to define a model transformation that takes as input some \"design-oriented\" model of the component assembly and produces as a result an \"analysis-oriented\" model that lends itself to the application of some analysis methodology. However, to actually devise such a transformation, we must face both the heterogeneous design level notations for component-based systems, and the variety of non-functional attributes and related analysis methodologies we could be interested in. In this perspective, we define a kernel language whose aim is to capture the relevant information for the analysis of non-functional attributes of component-based systems, with a focus on performance and reliability. Using this kernel language as a bridge between design-oriented and analysis-oriented notations we reduce the burden of defining a variety of direct transformations from the former to the latter to the less complex problem of defining transformations to/from the kernel language. The proposed kernel language is defined within the MOF (Meta-Object Facility) framework, to allow the exploitation of MOF-based model transformation facilities.","PeriodicalId":235512,"journal":{"name":"Workshop on Software and Performance","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125879135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 94

Ensuring stable performance for systems that degrade 确保系统在降级时性能稳定

Workshop on Software and Performance Pub Date : 2005-07-12 DOI: 10.1145/1071021.1071026

Alberto Avritzer, A. Bondi, E. Weyuker

引用次数: 24

An overview of model driven architecture ® (MDA®): invited talk abstract 模型驱动架构®(MDA®)概述:邀请演讲摘要

Workshop on Software and Performance Pub Date : 2005-07-12 DOI: 10.1145/1071021.1071052

M. Rosen

引用次数: 0

A web service for solving queuing network models using PMIF 一个使用PMIF求解排队网络模型的web服务

Workshop on Software and Performance Pub Date : 2005-07-12 DOI: 10.1145/1071021.1071042

Jerònia Rosselló, Catalina M. Lladó, R. Puigjaner, C. U. Smith

引用次数: 21

Software performance testing using covering arrays: efficient screening designs with categorical factors 使用覆盖阵列的软件性能测试:具有分类因素的有效筛选设计

Workshop on Software and Performance Pub Date : 2005-07-12 DOI: 10.1145/1071021.1071034

Dean S. Hoskins, C. Colbourn, D. Montgomery

{"title":"Software performance testing using covering arrays: efficient screening designs with categorical factors","authors":"Dean S. Hoskins, C. Colbourn, D. Montgomery","doi":"10.1145/1071021.1071034","DOIUrl":"https://doi.org/10.1145/1071021.1071034","url":null,"abstract":"Classical Design of Experiment (DOE) techniques have been in use for many years to aid in the performance testing of systems. In particular fractional factorial designs have been used in cases with many numerical factors to reduce the number of experimental runs necessary. For experiments involving categorical factors, this is not the case; experimenters regularly resort to exhaustive (full factorial) experiments. Recently, D-optimal designs have been used to reduce numbers of tests for experiments involving categorical factors because of their flexibility, but not necessarily because they can closely approximate full factorial results. In commonly used statistical packages, the only generic alternative for reduced experiments involving categorical factors is afforded by optimal designs. The extent to which D-optimal designs succeed in estimating exhaustive results has not been evaluated, and it is natural to determine this. An alternative design based on covering arrays may offer a better approximation of full factorial data. Covering arrays are used in software testing for accurate coverage of interactions, while D-optimal and factorial designs measure the amount of interaction. Initial work involved exhaustive generation of designs in order to compare covering arrays and D-optimal designs in approximating full factorial designs. In that setting, covering arrays provided better approximations of full factorial analysis, while ensuring coverage of all small interactions. Here we examine commercially viable covering array and D-optimal design generators to compare designs. Commercial covering array generators, while not as good as exhaustively generated designs, remain competitive with D-optimal design generators.","PeriodicalId":235512,"journal":{"name":"Workshop on Software and Performance","volume":"350 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115284721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 29