Computer Science ›› 2015, Vol. 42 ›› Issue (Z11): 408-412.

Previous Articles     Next Articles

Study on Strategy of Replica Selection in Cloud Storage Environment

ZHANG Cui-ping, GUO Zhen-zhou and GONG Chang-qing   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In order to meet the needs of various users for cloud storage,cloud storage service providers generally divide the data into fixed size block and use redundancy backup technology to store data.So the researches on storage mechanism of the block placement,the best replica selection and the replica size have always been hot spots in improving the transmission speed of big file.According to the heterogeneity of storage nodes in cloud storage system,the improved strategy which uses AHP to weight the index of node performance,and uses the weighted index to improve particle swarm optimization algorithm(AHPPSO) was proposed.By introducing the weighted evaluation matrix associated with the performance of the storage node,PSO evolves toward the node of high comprehensive performance,improving the data transmission speed without increasing the cost of storage space.The strategy was realized in a self-built cloud sto-rage system,and the experiment result shows that this strategy can adapt to the various needs of users,and achieve the system load balancing to a certain extent.

Key words: Cloud storage,Heterogeneity,Particle swarm algorithm,AHP,Load balancing

[1] Josef S,Johannes M,Alexander S.Creating optimal cloud sto-rage systems [J].Future Generation Computer Systems,2013,29(4):1062-1072
[2] 李建江,崔健,王聃,等.MapReduce并行编程模型研究综述[J].电子学报,2011,9(11):2636-2643
[3] Zhang Da-wei,Sun Fu-quan,Cheng xu,et al.Research on Hadoop-based enterprise file cloud storage system[C]∥Procee-dings of 2011 3rd International Conference on Awareness Science and Technology(iCAST2011).Dalian,China:IEEE Computer Society,2011:434-437
[4] Wei Qing-song,Bharadwaj V,Gong Bo-zhao,et al.CDRM:acost-effective dynamic replication management scheme for cloud storage cluster [C]∥Proceedings of 2010 IEEE International Conference on Cluster Computing.Heraklion,Crete,Greece:Institute of Electrical and Electronics Engineers Inc,2010:188-196
[5] Li Wen-hao,Yang Yun,Chen Jin-jun.A cost-effective mechanism for Cloud data reliability management based on proactive replica checking[C]∥Proceedings of 2012 12th IEEE/ACM International Symposium on Cluster,Cloud and Grid Computing.2012
[6] Lin Jenn-wei,Chen Chien-hung,Chang J M.QoS-Aware Data Replication for Data-Intensive Applications in Cloud Computing Systems[C]∥Proceedings of IEEE Transactions on Cloud Computing.2013
[7] 程振东,栾钟治,孟由,等.云文件系统中纠删码技术的研究与实现[J].计算机科学与探索,2013(4):315-325
[8] 付园.基于HDFS的优化数据冗余策略的研究[D].吉林:吉林大学,2014
[9] 罗象宏,舒继武.存储系统中的纠删码研究综述[J].计算机研究与发展,2012,9(1):1-11
[10] 黑继伟.基于分布式并行文件系统HDFS的副本管理模型[D].吉林:吉林大学,2010
[11] 娄超.云存储环境中副本选择与一致性维护策略研究[D].济南:山东师范大学,2014
[12] 杜芸芸.一种面向纠删码技术的云存储可靠性机制[J].计算机应用与软件,2014,31(2):312-316,320
[13] 杨东日,王颖,刘鹏.一种副本复制和纠错码融合的云存储文件系统容错机制[J].清华大学学报(自然科学版),2014,54(1):137-144
[14] Xu zhi-hong,Hou Xiang-dan,Sun Ji-zhou.Ant Algorithm-based Task Scheduling[C]∥Grid Computing Eletrical and Computer Engineering.2003:1107-1110
[15] 张新亮,万晓冬.基于遗传算法的副本管理策略[J].计算机仿真,2009,26(1):197-199,263
[16] 张兴.基于Hadoop的云存储平台的研究与实现[D].成都:电子科技大学,2013

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!