计算机技术与发展2018，Vol.28Issue(6)：26-29,34,5.DOI:10.3969/j.issn.1673-629X.2018.06.006
基于内存云的数据存储优化策略
Data Storage Optimization Strategy Based on Memory Cloud
摘要
Abstract
In order to solve the problem of data easy loss in the memory cloud ( RAMCloud) storage process,with the idea of repeated data coverage deletion,on the basis of previous research,we propose a memory cloud based data storage optimization strategy ( DSOS) . First,the storage of the memory cloud data is determined,and the relevant data replica model is established. Secondly,the data of the sys-tem is duplicated,and the data fingerprint index is set up to find the duplicate data. Finally,the Bloom filter will repeat data filtering in memory,so as to realize the optimization of memory cloud data storage. The experiment shows that the system that implements data stor-age optimization policies has increased by 0. 5％ compared with the original system in storing and processing data in the memory cluster of 20 ordinary PC machines. In addition,the strategy proposed can effectively save the memory space and improve the storage efficiency without affecting the system performance.关键词
内存云/大数据/数据副本/数据指纹/布隆过滤器Key words
RAMCloud/big data/data replica/data fingerprint/Bloom filter分类
信息技术与安全科学引用本文复制引用
张猛,钱育蓉,蒲勇霖,范迎迎,杜娇..基于内存云的数据存储优化策略[J].计算机技术与发展,2018,28(6):26-29,34,5.基金项目
国家自然科学基金(61562086,61363083,61562086,61363083,61562078) （61562086,61363083,61562086,61363083,61562078）
新疆自治区研究生教育改革创新计划(XJGRI2016029) （XJGRI2016029）
