{"title":"Data property analyzer for information storage in cloud","authors":"S. Srinivasan, R. Krishnan","doi":"10.1109/ICPRIME.2013.6496518","DOIUrl":null,"url":null,"abstract":"This paper inscribes a new approach for maintaining the data usage report for the cloud data storage using a novel data property analyzer. Cloud data storage is a technology that uses the internet and central remote servers to maintain data and share the applications. It allows consumer to use applications without installation and access their personal files at any computer with internet access. In general data property analysis system, Source and destination file content is compared in the form of bytes. In the cloud environment, data verification is needed for every computation in the storage correctness. So every time the data is retrieved from local system and compared with the destination file from the cloud zone. This procedure takes too much of time to find out a tiny change in the cloud file content. The proposed system is implemented with the idea of checking the file properties to find out the change in file content instead of verifying the entire file content. To check properties we have taken some of the file attributes such as file size, file modification date, file name and location.","PeriodicalId":123210,"journal":{"name":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPRIME.2013.6496518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper inscribes a new approach for maintaining the data usage report for the cloud data storage using a novel data property analyzer. Cloud data storage is a technology that uses the internet and central remote servers to maintain data and share the applications. It allows consumer to use applications without installation and access their personal files at any computer with internet access. In general data property analysis system, Source and destination file content is compared in the form of bytes. In the cloud environment, data verification is needed for every computation in the storage correctness. So every time the data is retrieved from local system and compared with the destination file from the cloud zone. This procedure takes too much of time to find out a tiny change in the cloud file content. The proposed system is implemented with the idea of checking the file properties to find out the change in file content instead of verifying the entire file content. To check properties we have taken some of the file attributes such as file size, file modification date, file name and location.