Research of Data Storage Technique Based on Cloud Storage Environment

Ping Zong; Rui Min Hu; Jie Wang

doi:10.4028/www.scientific.net/AMM.602-605.3160

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Research of Data Storage Technique Based on Cloud...

Research of Data Storage Technique Based on Cloud Storage Environment

Abstract:

According to the diversity in the nodes of cloud storage, this paper puts forward a replication layout strategy based on TOPSIS. We can apply it in the replication layout strategy in order to make full use of its advantages in multi-objective decision-making. The replication layout strategy, based on TOPSIS, uses HDFS’s racks awareness function; it makes the comprehensive evaluation of multiple attributes of multiple nodes, and by calculating the “distance” from each node to the optimal solution and the worst solution, it can choose the deployment of nodes to realize the efficiency of replication layout.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3160-3164

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3160

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Online since:

August 2014

Authors:

Ping Zong*, Rui Min Hu, Jie Wang

Keywords:

Cloud Storage, Data Storage, Optimal Solution, Repetition Technology, TOPSIS

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* - Corresponding Author

References

[1] What is cloud storage [EB/OL]. http: /www. dqjsw. com. cn/wulianwang/102539. html. 2011. 12.

Google Scholar

[2] [ Libdeh HA, Princehouse L, Weatherspoon H. RACS: A Case for Cloud Storage Diversity. Proceedings of the 1st ACM symposium on Cloud computing (SoCC'10) . Indianapolis, Indiana, USA, June, 2010: 229-240.

DOI: 10.1145/1807128.1807165

Google Scholar

[3] ZHOU Ke, WANG Hua, LI Chuanghua. Cloud Storage technique and Application[J]. ZTE technology. 2010, 16(4): 25-27.

Google Scholar

[4] ZHOU Xu, LU Xianliang. Dynamic Replica Management Mechanism of Frequence-adaptive[J]. Computer Science. 2005(2): 133-136.

Google Scholar

[5] Hai Zhong, Zehua Zhang, Xuejie Zhang. A Dynamic Replica Management Strategy Based on Data Grid[C]. The 2010 9th International Conference on Grid and Cloud Computing. Nanjing: 2010: 18-23.

DOI: 10.1109/gcc.2010.17

Google Scholar

[6] TAN Zhipeng. Study on Object Storage System Replicas[D]. Wu Han: Huazhong University of Science and Technology. (2008).

Google Scholar

[7] J. Shafer, S. Rixner, A.L. Cox. The Hadoop distributed filesystem: Balancing portability and performance[C]. Proceedings of the 2010 IEEE International Symposium on Performance Analysis of Systems & Software (ISPASS), Houston, TX, USA. March 2010: 122-133.

DOI: 10.1109/ispass.2010.5452045

Google Scholar

[8] Huo Yanmei, Wang Hongyuan, Hu Liang. A Cloud Storage Architecture Model for Data-Intensive Applications[C]. 2011 International Conference on Computer and Management (CAMAN), May 2011: 1-4.

DOI: 10.1109/caman.2011.5778817

Google Scholar

[9] DONG Jigunang, Chen Weiwei, TIAN Langjun. Massive Cloud Storage System Replicas Distribution Study[J]. Computer Application. 2012, 32(3): 620-624.

Google Scholar