{"title":"云托管DBMS的基准测试即服务","authors":"Daniel Seybold, Jörg Domaschka","doi":"10.1145/3491086.3492473","DOIUrl":null,"url":null,"abstract":"Database Management Systems (DBMS) operated on cloud resources are the storage backend for a multitude of data-intensive applications. In the process of finding the optimal cloud and DBMS, benchmarking is the common approach to evaluate the non-functional features. However, benchmarking cloud-hosted DBMS is a complex, error-prone and time-consuming task. The Benchmarking-as-a-Service platform benchANT demonstrates how these challenges are resolved by an end-to-end automated benchmarking process.","PeriodicalId":246858,"journal":{"name":"Proceedings of the 22nd International Middleware Conference: Demos and Posters","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Benchmarking-as-a-service for cloud-hosted DBMS\",\"authors\":\"Daniel Seybold, Jörg Domaschka\",\"doi\":\"10.1145/3491086.3492473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Database Management Systems (DBMS) operated on cloud resources are the storage backend for a multitude of data-intensive applications. In the process of finding the optimal cloud and DBMS, benchmarking is the common approach to evaluate the non-functional features. However, benchmarking cloud-hosted DBMS is a complex, error-prone and time-consuming task. The Benchmarking-as-a-Service platform benchANT demonstrates how these challenges are resolved by an end-to-end automated benchmarking process.\",\"PeriodicalId\":246858,\"journal\":{\"name\":\"Proceedings of the 22nd International Middleware Conference: Demos and Posters\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 22nd International Middleware Conference: Demos and Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3491086.3492473\",\"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 22nd International Middleware Conference: Demos and Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3491086.3492473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Database Management Systems (DBMS) operated on cloud resources are the storage backend for a multitude of data-intensive applications. In the process of finding the optimal cloud and DBMS, benchmarking is the common approach to evaluate the non-functional features. However, benchmarking cloud-hosted DBMS is a complex, error-prone and time-consuming task. The Benchmarking-as-a-Service platform benchANT demonstrates how these challenges are resolved by an end-to-end automated benchmarking process.
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