云数据库的查询翻译

Shyam D Kotecha, Minal Bhise, S. Chaudhary
{"title":"云数据库的查询翻译","authors":"Shyam D Kotecha, Minal Bhise, S. Chaudhary","doi":"10.1109/NUICONE.2011.6153249","DOIUrl":null,"url":null,"abstract":"Due to features like on demand services, scalability and usage based pricing, today cloud computing has attracted many customers to move their applications to cloud. But cloud service providers are using different standards and frameworks which customer has to follow. There may be a case where customer wants to migrate data and application to another cloud service provider. In that case, code of application and structure of database must be modified according to the standard provided by new service provider which is very costly. This issue is regarded as cloud vendor lock-in. Work has already been done for providing techniques which can facilitate migration of data. But that technique is not providing support for transformation of query from one cloud to other. By taking Google App engine as one cloud service provider, algorithm can be developed to transform query supported by relational databases, SQL, to query supported by Google app engine datastore, Google Query Language (GQL). After that same algorithm can be generalized for any cloud datastore.","PeriodicalId":206392,"journal":{"name":"2011 Nirma University International Conference on Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Query translation for cloud databases\",\"authors\":\"Shyam D Kotecha, Minal Bhise, S. Chaudhary\",\"doi\":\"10.1109/NUICONE.2011.6153249\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to features like on demand services, scalability and usage based pricing, today cloud computing has attracted many customers to move their applications to cloud. But cloud service providers are using different standards and frameworks which customer has to follow. There may be a case where customer wants to migrate data and application to another cloud service provider. In that case, code of application and structure of database must be modified according to the standard provided by new service provider which is very costly. This issue is regarded as cloud vendor lock-in. Work has already been done for providing techniques which can facilitate migration of data. But that technique is not providing support for transformation of query from one cloud to other. By taking Google App engine as one cloud service provider, algorithm can be developed to transform query supported by relational databases, SQL, to query supported by Google app engine datastore, Google Query Language (GQL). After that same algorithm can be generalized for any cloud datastore.\",\"PeriodicalId\":206392,\"journal\":{\"name\":\"2011 Nirma University International Conference on Engineering\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Nirma University International Conference on Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NUICONE.2011.6153249\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Nirma University International Conference on Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NUICONE.2011.6153249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

由于诸如随需应变服务、可伸缩性和基于使用的定价等特性,今天的云计算吸引了许多客户将他们的应用程序迁移到云上。但是云服务提供商使用不同的标准和框架,客户必须遵循这些标准和框架。可能存在客户希望将数据和应用程序迁移到另一个云服务提供商的情况。在这种情况下,必须根据新的服务提供商提供的标准修改应用程序代码和数据库结构,这是非常昂贵的。这个问题被认为是云供应商锁定。在提供能够促进数据迁移的技术方面已经做了一些工作。但是该技术不支持从一个云到另一个云的查询转换。将谷歌应用引擎作为一个云服务提供商,可以开发算法将关系数据库SQL支持的查询转换为谷歌应用引擎数据存储谷歌查询语言(谷歌query Language, GQL)支持的查询。之后,同样的算法可以推广到任何云数据存储。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Query translation for cloud databases
Due to features like on demand services, scalability and usage based pricing, today cloud computing has attracted many customers to move their applications to cloud. But cloud service providers are using different standards and frameworks which customer has to follow. There may be a case where customer wants to migrate data and application to another cloud service provider. In that case, code of application and structure of database must be modified according to the standard provided by new service provider which is very costly. This issue is regarded as cloud vendor lock-in. Work has already been done for providing techniques which can facilitate migration of data. But that technique is not providing support for transformation of query from one cloud to other. By taking Google App engine as one cloud service provider, algorithm can be developed to transform query supported by relational databases, SQL, to query supported by Google app engine datastore, Google Query Language (GQL). After that same algorithm can be generalized for any cloud datastore.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信