[1]王理想,刘波,林伟伟.基于模糊预测的数据复制优化模型的研究[J].计算机技术与发展,2013,(12):82-85.
　WANG Li-xiang[],LIU Bo[],LIN Wei-wei[].Research on Data Replication Optimization Model Based on Fuzzy Forecasting[J].,2013,(12):82-85.
点击复制

基于模糊预测的数据复制优化模型的研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年12期
页码:
82-85
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research on Data Replication Optimization Model Based on Fuzzy Forecasting
文章编号:
1673-629X（2013）12-0082-04
作者:
王理想1; 刘波1; 林伟伟2
[1]华南师范大学 计算机学院;[2]华南理工大学 计算机科学与工程学院
Author(s):
WANG Li-xiang[1]; LIU Bo[1]; LIN Wei-wei[2]
关键词:
模糊逻辑; 数据复制; 数据节点; 可用性
Keywords:
fuzzy logic; data replication; data node; usability
文献标志码:
A
摘要:
云数据处理系统中广泛采用了多数据副本复制技术,以防止数据丢失,如果数据复制的份数或位置不当,就会引起数据的可用性小于用户期望的数据可用性或存储空间的浪费(如复制份数过多)。针对该问题,经研究提出了一种基于模糊预测的数据复制优化模型,该模型由模糊预测模块和复制优化模块组成。模糊预测模块以节点信息( CPU信息、节点带宽信息、内存信息和硬盘信息)作为输入,预测出节点的可用性；复制优化模块把节点的可用性和用户期望的数据可用性作为输入,计算出在满足用户期望情况下数据复制的份数和位置。提出的复制优化模型能根据云数据存储系统中数据节点可用性实现动态的优化数据复制,能获得较高的存储性价比。模拟实验中基于模糊预测的数据复制优化模型策略需要的存储空间分别是Hadoop策略的42.62%,42.84%,但文件的平均可用性可达到88.69%,90.54%,表明提出的基于模糊预测的复制模型实现了在节省存储空间的同时保证了文件可用性
Abstract:
The use of multiple data copies is widespread in cloud data processing systems in case of data loss. If the number of data copies or the position of data replication is inappropriate,there's a chance that could cause the availability of data to be unmatched the expecta-tion and a waste of storage spaces,for instance,the copy number is too high. As with this fact,a data replication optimization model based on fuzzy forecasting is presented. It consists of fuzzy forecasting and data replication optimization. The fuzzy forecasting makes use of the information of a node,which includes information of CPU,bandwidth,memory and hard drive,to forecast the availability. Replication op-timization consumes the availability of nodes and user's expectation to calculate the number of data copies and replication position. This model could dynamically optimize data replication through the availability of nodes in a cloud data storage system,which achieves a good performance price tradeoff for data storage. Simulation experiment data replication strategy optimization model based on fuzzy prediction need storage space is Hadoop strategy respectively 42. 62%,42. 84%,while the average availability of documents can reach 88. 69% and 90. 54%,showed that the replication model based on fuzzy prediction realized in saves storage space at the same time to ensure the file a-vailability

相似文献/References:

[1]杨凯 华庆一 陈新胜.一种交互式识别几何图形的简易方法[J].计算机技术与发展,2008,(03):21.
　YANG Kai,HUA Qing-yi,CHEN Xin-sheng.A Simple Approach to Recognise Geometric Shapes Interactively[J].,2008,(12):21.
[2]许普乐 夏明波 金士尧.主动式集群中模糊逻辑及其改进研究[J].计算机技术与发展,2007,(07):120.
　XU Pu-le,XIA Ming-bo,JIN Shi-yao.Fuzzy Logic and Its Improvement in Active Self-Allocating Cluster[J].,2007,(12):120.
[3]廖锦舜 何锫.基于模糊神经网络的软件质量评价方法[J].计算机技术与发展,2006,(02):194.
　LIAO Jin-shun,HE Pei.Method of Software Quality Evaluation Based on Fuzzy Neural Network[J].,2006,(12):194.
[4]李向阳 李玲娟 陈建新 徐小龙.面向情境感知的不确定性数据融合策略[J].计算机技术与发展,2012,(02):127.
　LI Xiang-yang,LI Ling-juan,CHEN Jian-xin,et al.Strategy of Uncertainty Data Fusion for Context-Awareness[J].,2012,(12):127.
[5]王大将 王敏.软计算融合技术研究[J].计算机技术与发展,2012,(04):97.
　WANG Da-jiang,WANG Min.Research on Fusion Technology of Soft Computing[J].,2012,(12):97.
[6]李云峰 王琛.装备制造企业供应商综合评价系统[J].计算机技术与发展,2012,(04):149.
　LI Yun-feng,WANG Chen.Evaluation System on Vendor of Large-Sized Equipment Manufacturers[J].,2012,(12):149.
[7]杜睿山,李阳,曹茂俊,等. 基于AHP的油田产能建设项目后评价模型研究[J].计算机技术与发展,2014,24(11):203.
　DU Rui-shan,LI Yang,CAOMao-jun,et al. Research on Post Evaluation Model for Productivity Construction Project of Oilfield Based on AHP[J].,2014,24(12):203.
[8]唐上进,周井泉,张卓. 基于模糊神经PID的主动队列管理方法研究[J].计算机技术与发展,2015,25(08):99.
　TANG Shang-jin,ZHOU Jing-quan,ZHANG Zhuo. Research on Active Queue Management Based on Fuzzy Neural PID Controller[J].,2015,25(12):99.
[9]易琼,王珺. 恶劣环境下无线传感器网络数据存储策略研究[J].计算机技术与发展,2015,25(11):139.
　YI Qiong,WANG Jun. Research on Data Storage Strategy in Wireless Sensor Networks Deployed in Challenging Environments[J].,2015,25(12):139.
[10]张少白,诸明倩.基于模糊逻辑的手臂运动控制小脑模型与仿真[J].计算机技术与发展,2018,28(07):15.[doi:10.3969/ j. issn.1673-629X.2018.07.004]
　ZHANG Shao-bai,ZHU Ming-qian.A Cerebellar Model and Simulation of Arm Motion Control Based on Fuzzy Logic[J].,2018,28(12):15.[doi:10.3969/ j. issn.1673-629X.2018.07.004]

更新日期/Last Update: 1900-01-01