{"title":"在分层云上联合基于web的应用程序","authors":"Dan Han, Eleni Stroulia","doi":"10.1109/CLOUD.2014.136","DOIUrl":null,"url":null,"abstract":"Cloud-based infrastructures enable applications to collect and analyze massive amounts of data. Sometimes these applications are the product of green-field engineering, but frequently they are the product of the evolution of traditional RDBMS-based implementations. In any case, NoSQL databases, endowed with high availability, elasticity and scalability through their easy deployment on cloud-computing platforms, have become an attractive data-storage solution for these big-data applications. Unfortunately, to date, there is little methodological and tool support for migrating existing applications to these new platforms. In this paper, we describe a hybrid architecture for location-aware applications on hierarchical cloud, a methodology for mapping relational (including spatio-temporal) data to HBase, and a process for migrating legacy applications to the new architecture.","PeriodicalId":288542,"journal":{"name":"2014 IEEE 7th International Conference on Cloud Computing","volume":"87 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Federating Web-Based Applications on a Hierarchical Cloud\",\"authors\":\"Dan Han, Eleni Stroulia\",\"doi\":\"10.1109/CLOUD.2014.136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud-based infrastructures enable applications to collect and analyze massive amounts of data. Sometimes these applications are the product of green-field engineering, but frequently they are the product of the evolution of traditional RDBMS-based implementations. In any case, NoSQL databases, endowed with high availability, elasticity and scalability through their easy deployment on cloud-computing platforms, have become an attractive data-storage solution for these big-data applications. Unfortunately, to date, there is little methodological and tool support for migrating existing applications to these new platforms. In this paper, we describe a hybrid architecture for location-aware applications on hierarchical cloud, a methodology for mapping relational (including spatio-temporal) data to HBase, and a process for migrating legacy applications to the new architecture.\",\"PeriodicalId\":288542,\"journal\":{\"name\":\"2014 IEEE 7th International Conference on Cloud Computing\",\"volume\":\"87 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 7th International Conference on Cloud Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLOUD.2014.136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 7th International Conference on Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLOUD.2014.136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Federating Web-Based Applications on a Hierarchical Cloud
Cloud-based infrastructures enable applications to collect and analyze massive amounts of data. Sometimes these applications are the product of green-field engineering, but frequently they are the product of the evolution of traditional RDBMS-based implementations. In any case, NoSQL databases, endowed with high availability, elasticity and scalability through their easy deployment on cloud-computing platforms, have become an attractive data-storage solution for these big-data applications. Unfortunately, to date, there is little methodological and tool support for migrating existing applications to these new platforms. In this paper, we describe a hybrid architecture for location-aware applications on hierarchical cloud, a methodology for mapping relational (including spatio-temporal) data to HBase, and a process for migrating legacy applications to the new architecture.