{"title":"为可用性评估建模具有复杂依赖关系的云服务组合","authors":"Xingjian Zhang, Long Wang","doi":"10.1109/dsn-s54099.2022.00024","DOIUrl":null,"url":null,"abstract":"This paper presents a methodology to assess availability of cloud services through Bayesian network-based availability model. We propose a modeling technology to represent heterogeneous dependencies of cloud services in the methodology. We show that our modeling technology provides more expressive capability for complex dependencies than classic tools like RBD.","PeriodicalId":267184,"journal":{"name":"2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)","volume":"311 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling Composition of Cloud Services with Complex Dependencies for Availability Assessment\",\"authors\":\"Xingjian Zhang, Long Wang\",\"doi\":\"10.1109/dsn-s54099.2022.00024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a methodology to assess availability of cloud services through Bayesian network-based availability model. We propose a modeling technology to represent heterogeneous dependencies of cloud services in the methodology. We show that our modeling technology provides more expressive capability for complex dependencies than classic tools like RBD.\",\"PeriodicalId\":267184,\"journal\":{\"name\":\"2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)\",\"volume\":\"311 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/dsn-s54099.2022.00024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dsn-s54099.2022.00024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling Composition of Cloud Services with Complex Dependencies for Availability Assessment
This paper presents a methodology to assess availability of cloud services through Bayesian network-based availability model. We propose a modeling technology to represent heterogeneous dependencies of cloud services in the methodology. We show that our modeling technology provides more expressive capability for complex dependencies than classic tools like RBD.