{"title":"Self-Managing Data in the Clouds","authors":"J. Hurley, D. Johansen","doi":"10.1109/IC2E.2014.31","DOIUrl":null,"url":null,"abstract":"The cloud offers an attractive platform for storage and access to data. However, data is usually expected to only exist within the context of a single cloud platform. We investigate a concept where management meta-code is coupled with data items. Meta-code describes core functionality which should always be considered when storing or accessing data. The goal is to simplify management tasks by composing the desired set of meta-code modules for collections of data items, and executing them when appropriate. We evaluate the run-time environment, Suorgi, which is designed to achieve this. Our results show that Suorgi and meta-code is a practical approach to supporting data management tasks, and it makes this fine-level management easy to express for the data owner.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Cloud Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC2E.2014.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The cloud offers an attractive platform for storage and access to data. However, data is usually expected to only exist within the context of a single cloud platform. We investigate a concept where management meta-code is coupled with data items. Meta-code describes core functionality which should always be considered when storing or accessing data. The goal is to simplify management tasks by composing the desired set of meta-code modules for collections of data items, and executing them when appropriate. We evaluate the run-time environment, Suorgi, which is designed to achieve this. Our results show that Suorgi and meta-code is a practical approach to supporting data management tasks, and it makes this fine-level management easy to express for the data owner.