{"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}
引用次数: 7
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.