Liang Ma, Caijun Zhen, Bin Zhao, Jingwei Ma, G. Wang, X. Liu
{"title":"Towards Fast De-duplication Using Low Energy Coprocessor","authors":"Liang Ma, Caijun Zhen, Bin Zhao, Jingwei Ma, G. Wang, X. Liu","doi":"10.1109/NAS.2010.29","DOIUrl":null,"url":null,"abstract":"Backup technology based on data de-duplication has become a hot topic in nowadays. In order to get a better performance, traditional research is mainly focused on decreasing the disk access time. In this paper, we consider computing complexity problem in data de-duplication system, and try to improve system performance by reducing computing time. We put computing tasks on commodity coprocessor to speed up the computing process. Compared with general-purpose processors, commodity coprocessors have lower energy consumption and lower cost. Experimental results show that they have equal or even better performance compared with general-purpose processors.","PeriodicalId":284549,"journal":{"name":"2010 IEEE Fifth International Conference on Networking, Architecture, and Storage","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Fifth International Conference on Networking, Architecture, and Storage","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAS.2010.29","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
Backup technology based on data de-duplication has become a hot topic in nowadays. In order to get a better performance, traditional research is mainly focused on decreasing the disk access time. In this paper, we consider computing complexity problem in data de-duplication system, and try to improve system performance by reducing computing time. We put computing tasks on commodity coprocessor to speed up the computing process. Compared with general-purpose processors, commodity coprocessors have lower energy consumption and lower cost. Experimental results show that they have equal or even better performance compared with general-purpose processors.