The Study on Cloud Storage Data Management Method Based on Minimum Access Cost for Internet of Things

Abstract:

According to the characteristics of data access in Internet of things, we put forward a replicate distribution method of minimum cost which considers the number and type of replicate in cloud storage. By this method, the replicates will be distributed to storage servers with minimum total cost from several data service points. This method is fundamental research of low cost distribution for replicates in cloud storage based on data access load.

• Periodical: Applied Mechanics and Materials (Volumes 198-199)
• Pages: 1657-1662
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.198-199.1657
• Online since: September 2012
• Authors: Xiao Hong Song
• Keywords: Access Cost, Cloud Storage, Internet of Things (IOT)

References

[1] D. Agrawal, A. E. Abbadi, S. Antony and S. Das, Data management challenges in cloud computing infrastructures, Databases in Networked Information Systems, Lecture Notes in Computer Science, vol. 5999, 2010, pp.1-10.

DOI: 10.1007/978-3-642-12038-1_1

[2] F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh, D. A. Wallach, et al, Bigtable: a distributed storage system for structured data, ACM Transactions on Computer Systems, vol. 26, Jun. 2006, pp.205-218,. doi: 10. 1145/1365815. 1365816.

DOI: 10.1145/1365815.1365816

[3] B. F. Cooper, R. Ramakrishnan, U. Srivastava, A. Silberstein, P. Bohannon, et al, PNUTS: Yahoo!'s hosted data serving platform, Proc. VLDB Endow, VLDB Endowment , vol. 1, Aug. 2008, pp.1277-1288, doi: 10. 1145/1454159. 1454167.

DOI: 10.14778/1454159.1454167

[4] G. DeCandia, D. Hastorun, M. Jampani, G. Kakulapati, A. Lakshman, et al, Dynamo: amazon's highly available key-value store, Proc. of 21st ACM SIGOPS symposium on Operating systems principles, ACM, Oct. 2007, pp.205-220.

DOI: 10.1145/1294261.1294281

[5] Amazon Simple Storage Service (S3), http: /www. amazon. com/s3/, Dec 4, (2009).

[6] Windows Live Mesh, http: /www. mesh. com/, Dec 4, (2010).

[7] Mozy homepage, http: /mozy. com, Dec 15, (2009).

[8] Symantec's Protection Network. http: /www. spn. com/, Dec 17, (2009).

[9] M. Vrable, S. Savage, G. M. Voelker, Cumulus: Filesystem backup to the cloud, ACM Transactions on Storage, vol. 5, Dec. 2009, pp.225-238, doi: 10. 1145/1629080. 1629084.

DOI: 10.1145/1629080.1629084

[10] B. Fitzpatrick. Brackup, http: /code. google. com/p/brackup/, Dec 17, (2009).

[11] Jungle disk, http: /www. jungledisk. com/, Dec 27, (2009).

[12] J. Broberg, R. Buyya and Z. Tari, MetaCDN: harnessing 'storage clouds' for high performance content delivery, Journal of Network and Computer Applications, vol. 32, Sep. 2010, pp.1012-1022, doi: 10. 1016/j. jnca. 2009. 03. 004.

DOI: 10.1016/j.jnca.2009.03.004

[13] N. Bonvin, T. G. Papaioannou and K. Aberer, A self-organized, fault-tolerant and scalable replication scheme for cloud storage, Proc. of the 1st ACM symposium on Cloud computing, ACM, Jun. 2010, pp.205-216, doi: 10. 1145/1807128. 1807162.

DOI: 10.1145/1807128.1807162

[14] D. J. Abadi, Data management in the cloud: limitations and opportunities, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, IEEE Computer Society, Mar. 2009, pp.1-10.

[15] N. Bonvin, T. G. Papaioannou and K. Aberer, Dynamic cost-efficient replication in data clouds, Proc. of the 1st workshop on Automated control for datacenters and clouds, ACM, Jun. 2009, pp.49-56, doi: 10. 1145/1555271. 1555283.

DOI: 10.1145/1555271.1555283

[16] R. L. Grossman, Y. H. Gu, M. Sabala and W. Zhang, Compute and storage clouds using wide area high performance networks, Future Generation Computer Systems, vol. 25, Feb. 2009, pp.179-183, doi: 10. 1016/j. future. 2008. 07. 009.

DOI: 10.1016/j.future.2008.07.009