{"title":"为云服务部署自动缩放配置的模型驱动方法","authors":"H. Alipour, Yan Liu","doi":"10.1145/2993274.3011285","DOIUrl":null,"url":null,"abstract":"Vendor lock-in is the issues in auto-scaling configuration; scaling configuration of a service cannot automatically transfer when the service is migrated from one cloud to another cloud. To facilitate fast service deployment, there is a need to automate the operations of auto-scaling configuration and deployment.","PeriodicalId":143542,"journal":{"name":"Proceedings of the 4th International Workshop on Release Engineering","volume":"15 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A model driven method to deploy auto-scaling configuration for cloud services\",\"authors\":\"H. Alipour, Yan Liu\",\"doi\":\"10.1145/2993274.3011285\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vendor lock-in is the issues in auto-scaling configuration; scaling configuration of a service cannot automatically transfer when the service is migrated from one cloud to another cloud. To facilitate fast service deployment, there is a need to automate the operations of auto-scaling configuration and deployment.\",\"PeriodicalId\":143542,\"journal\":{\"name\":\"Proceedings of the 4th International Workshop on Release Engineering\",\"volume\":\"15 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Workshop on Release Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2993274.3011285\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Workshop on Release Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2993274.3011285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A model driven method to deploy auto-scaling configuration for cloud services
Vendor lock-in is the issues in auto-scaling configuration; scaling configuration of a service cannot automatically transfer when the service is migrated from one cloud to another cloud. To facilitate fast service deployment, there is a need to automate the operations of auto-scaling configuration and deployment.