{"title":"支持软实时应用的分区架构优化","authors":"D. Tamas-Selicean, P. Pop","doi":"10.1109/PRDC.2014.36","DOIUrl":null,"url":null,"abstract":"In this paper we propose a new Tabu Search-based design optimization strategy for mixed-criticality systems implementing hard and soft real-time applications on the same platform. Our proposed strategy determined an implementation such that all hard real-time applications are schedulable and the quality of service of the soft real-time tasks is maximized. We have evaluated our strategy using an aerospace case study.","PeriodicalId":187000,"journal":{"name":"2014 IEEE 20th Pacific Rim International Symposium on Dependable Computing","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of Partitioned Architectures to Support Soft Real-Time Applications\",\"authors\":\"D. Tamas-Selicean, P. Pop\",\"doi\":\"10.1109/PRDC.2014.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a new Tabu Search-based design optimization strategy for mixed-criticality systems implementing hard and soft real-time applications on the same platform. Our proposed strategy determined an implementation such that all hard real-time applications are schedulable and the quality of service of the soft real-time tasks is maximized. We have evaluated our strategy using an aerospace case study.\",\"PeriodicalId\":187000,\"journal\":{\"name\":\"2014 IEEE 20th Pacific Rim International Symposium on Dependable Computing\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 20th Pacific Rim International Symposium on Dependable Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PRDC.2014.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 20th Pacific Rim International Symposium on Dependable Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRDC.2014.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of Partitioned Architectures to Support Soft Real-Time Applications
In this paper we propose a new Tabu Search-based design optimization strategy for mixed-criticality systems implementing hard and soft real-time applications on the same platform. Our proposed strategy determined an implementation such that all hard real-time applications are schedulable and the quality of service of the soft real-time tasks is maximized. We have evaluated our strategy using an aerospace case study.
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