{"title":"A Metaheuristic Approach for Best Effort Timing Analysis Targeting Complex Legacy Real-Time Systems","authors":"J. Kraft, Yue Lu, C. Norström, A. Wall","doi":"10.1109/RTAS.2008.25","DOIUrl":"https://doi.org/10.1109/RTAS.2008.25","url":null,"abstract":"Many companies developing real-time systems today have today no means for response time analysis, as their systems violate the assumptions of traditional analytical methods for response-time analysis and are too complex for exhaustive analysis using model checking. This paper presents a novel approach for best effort response time analysis targeting such systems, where probabilistic simulation is guided by a search algorithm of metaheuristic type, similar to genetic algorithms. The best effort approach means that the result is not guaranteed to be the worst-case response time, but also that the method scales to large industrial systems. The proposed method should be regarded as a form of testing, focusing on timing properties. An evaluation is presented which indicates that the proposed approach is significantly more efficient than traditional probabilistic simulation in finding extreme task response times. The paper also presents a method for finding good parameters for the search algorithm, in order to improve its efficiency.","PeriodicalId":438509,"journal":{"name":"IEEE Real-Time and Embedded Technology and Applications Symposium","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128836770","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}
{"title":"Applying Sensitivity Analysis in Real-Time Distributed Systems","authors":"R. Racu, M. Jersak, R. Ernst","doi":"10.1109/RTAS.2005.10","DOIUrl":"https://doi.org/10.1109/RTAS.2005.10","url":null,"abstract":"During real-world design of embedded real-time systems, it cannot be expected that all performance data required for scheduling analysis is fully available up front. In such situations, sensitivity analysis is a promising approach to deal with uncertainties that result from incomplete specifications, early performance estimates, late feature requests, and so on. Sensitivity analysis allows the system designer to keep track of the flexibility of the system, and thus to quickly assess the impact of changes of individual hardware and software components on system performance. In this paper we integrate sensitivity analysis into our system-level performance analysis framework SymTA/S and show its benefits during the design of complex, networked multiprocessor embedded real-time systems.","PeriodicalId":438509,"journal":{"name":"IEEE Real-Time and Embedded Technology and Applications Symposium","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121698909","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}