{"title":"在云服务器中存储数据的一种新的高效方法","authors":"Hussein Shirvani, H. Vahdat-Nejad","doi":"10.4108/ICST.ICCASA.2014.257469","DOIUrl":null,"url":null,"abstract":"The present study aims at introducing a new efficient approach to store data in a cloud server. The approach is applicable to a group of annotated text files, which are supported by Microsoft Word (docx, doc, pdf, etc.). Instead of the original document, an intermediate file is produced and saved as a Microsoft Excel document for each user. The file contains edited information including highlighted and underlined parts, comments, etc. Whenever a user wants to access his/her document, the intermediate file is attached to the original document and appeared to him/her. The experimental results of 50 users show that a 2.5MB file and in total, 126MB files can be reduced in size to 3MB. It means a large amount of disk space can be saved by the cloud server.","PeriodicalId":426100,"journal":{"name":"International Conference on Context-Aware Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A New Efficient Approach to Store Data in a Cloud Server\",\"authors\":\"Hussein Shirvani, H. Vahdat-Nejad\",\"doi\":\"10.4108/ICST.ICCASA.2014.257469\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study aims at introducing a new efficient approach to store data in a cloud server. The approach is applicable to a group of annotated text files, which are supported by Microsoft Word (docx, doc, pdf, etc.). Instead of the original document, an intermediate file is produced and saved as a Microsoft Excel document for each user. The file contains edited information including highlighted and underlined parts, comments, etc. Whenever a user wants to access his/her document, the intermediate file is attached to the original document and appeared to him/her. The experimental results of 50 users show that a 2.5MB file and in total, 126MB files can be reduced in size to 3MB. It means a large amount of disk space can be saved by the cloud server.\",\"PeriodicalId\":426100,\"journal\":{\"name\":\"International Conference on Context-Aware Systems and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Context-Aware Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4108/ICST.ICCASA.2014.257469\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Context-Aware Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/ICST.ICCASA.2014.257469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Efficient Approach to Store Data in a Cloud Server
The present study aims at introducing a new efficient approach to store data in a cloud server. The approach is applicable to a group of annotated text files, which are supported by Microsoft Word (docx, doc, pdf, etc.). Instead of the original document, an intermediate file is produced and saved as a Microsoft Excel document for each user. The file contains edited information including highlighted and underlined parts, comments, etc. Whenever a user wants to access his/her document, the intermediate file is attached to the original document and appeared to him/her. The experimental results of 50 users show that a 2.5MB file and in total, 126MB files can be reduced in size to 3MB. It means a large amount of disk space can be saved by the cloud server.