A. Khalifeh, D. E. D. I. Abou-Tair, S. Alouneh, R. Obermaisser, Michael-Christian Schmidt
{"title":"Admission Control and Resource Allocation for Distributed Services in System-of-Systems: Challenges and Potential Solutions","authors":"A. Khalifeh, D. E. D. I. Abou-Tair, S. Alouneh, R. Obermaisser, Michael-Christian Schmidt","doi":"10.1109/SIES.2018.8442101","DOIUrl":"https://doi.org/10.1109/SIES.2018.8442101","url":null,"abstract":"System-of-Systems (SoS) are a paradigm that has been proposed to cope with the evolving new services in large scale systems that not only need extensive computing resources, but also may have extra-functional properties like stringent time requirements. In SoS, a complex task is typically divided into sub-tasks that have a lower complexity and can be performed by multiple distributed systems working independently from each other. However, the coordination between these systems is of paramount importance to achieve the required compound complex task. Admission control and resource allocation are two essential mechanisms needed to coordinate the distributed tasks among the systems. However, performing admission control and resource allocation in such distributed systems is challenging, because of the distributed nature of SoS. In this paper, the proposed SoS system architecture is described, then the process of admission control and resource allocation is discussed, while highlighting the potential challenges associated with this process and its solutions.","PeriodicalId":236091,"journal":{"name":"2018 IEEE 13th International Symposium on Industrial Embedded Systems (SIES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125245214","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":"Estimating Latencies of Task Sequences in Multi-Core Automotive ECUs","authors":"Max J. Friese, Thorsten Ehlers, Dirk Nowotka","doi":"10.1109/SIES.2018.8442095","DOIUrl":"https://doi.org/10.1109/SIES.2018.8442095","url":null,"abstract":"The computation of a cyber-physical system's reaction to a stimulus typically involves the execution of several tasks. The delay between stimulus and reaction thus depends on the interaction of these tasks and is subject to timing constraints. Such constraints exist for a number of reasons and range from possible impacts on customer experiences to safety requirements. We present a technique to determine end-to-end latencies of such task sequences. The technique is demonstrated on the example of electronic control units (ECUs) in automotive embedded realtime systems. Our approach is able to deal with multi-core architectures and supports four different activation patterns, including interrupts. It is the first formal analysis approach making use of load assumptions in order to exclude infeasible data propagation paths without the knowledge of worst-case execution times or worst-case response times. We employ a constraint programming solver to compute bounds on end-to-end latencies.","PeriodicalId":236091,"journal":{"name":"2018 IEEE 13th International Symposium on Industrial Embedded Systems (SIES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130382499","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}