{"title":"Using Performance Modelling for Self-Healing and Protection in Autonomic Multi-tier Systems","authors":"Mehdi Sliem, Nabila Salmi, M. Ioualalen","doi":"10.1109/INDS.2014.14","DOIUrl":null,"url":null,"abstract":"We propose, in this paper, a general modelling technique of an autonomic multi-tier system implementing self-healing and self-protection properties. The modelling is based on stochastic Petri nets (SPN). Our objective is to forecast the most appropriate configuration for a multi-tier system and ensure the effectiveness of the autonomic manager. We consider in our modelling an autonomic diagnostic and recovery, with fault tolerance solutions. The diagnostic is directed by the workload intensity, possible attacks and failure frequency. Finally, we illustrate the effectiveness of our modelling through a set of experimental analysis results.","PeriodicalId":388358,"journal":{"name":"2014 International Conference on Advanced Networking Distributed Systems and Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advanced Networking Distributed Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDS.2014.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We propose, in this paper, a general modelling technique of an autonomic multi-tier system implementing self-healing and self-protection properties. The modelling is based on stochastic Petri nets (SPN). Our objective is to forecast the most appropriate configuration for a multi-tier system and ensure the effectiveness of the autonomic manager. We consider in our modelling an autonomic diagnostic and recovery, with fault tolerance solutions. The diagnostic is directed by the workload intensity, possible attacks and failure frequency. Finally, we illustrate the effectiveness of our modelling through a set of experimental analysis results.