{"title":"云存储碎片整理的并行技术","authors":"S. Sarkar, A. Kundu","doi":"10.1109/ICRCICN.2016.7813648","DOIUrl":null,"url":null,"abstract":"We propose a cloud based storage defragmentation technique in this paper. The cloud based defragmentation technique exhibits parallel concept of defragmentation. The proposed cloud based defragmentation technique involves defragment storage with less time consumption. Time graph is used to analyse memory access time using cloud based defragmentation technique. The comparisons have been depicted in time graph.","PeriodicalId":254393,"journal":{"name":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A parallel technique for storage defragmentation in cloud\",\"authors\":\"S. Sarkar, A. Kundu\",\"doi\":\"10.1109/ICRCICN.2016.7813648\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a cloud based storage defragmentation technique in this paper. The cloud based defragmentation technique exhibits parallel concept of defragmentation. The proposed cloud based defragmentation technique involves defragment storage with less time consumption. Time graph is used to analyse memory access time using cloud based defragmentation technique. The comparisons have been depicted in time graph.\",\"PeriodicalId\":254393,\"journal\":{\"name\":\"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRCICN.2016.7813648\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRCICN.2016.7813648","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parallel technique for storage defragmentation in cloud
We propose a cloud based storage defragmentation technique in this paper. The cloud based defragmentation technique exhibits parallel concept of defragmentation. The proposed cloud based defragmentation technique involves defragment storage with less time consumption. Time graph is used to analyse memory access time using cloud based defragmentation technique. The comparisons have been depicted in time graph.