A Data Replica Placement Scheme for Cloud Storage under Healthcare IoT Environment

Article Preview

Abstract:

In this paper, a multiple data replica placement scheme for cloud storage under health-care environment is proposed. It is based on p-center model with minimizing user access cost as its optimization objective. It uses GA (Genetic Algorithm) to find the optimal data replica placement solution. Simulation results have shown that it can not only improve user access time and promote load balance but also enhance system scalability and reliability.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

5511-5517

Citation:

Online since:

May 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Weil S A, Brandt S A, Miller E L, et al. CRUSH: Controlled, scalable, decentralized placement of replicated data[C]/Proceedings of the 2006 ACM/IEEE conference on Supercomputing. Tampa, USA, 2006: 122-135.

DOI: 10.1109/sc.2006.19

Google Scholar

[2] DeCandia G, Hastorun D, Jampani M, et al. Dynamo: amazon's highly available key-value store[C]/Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles. Washington, USA , 2007, 14(17): 205-220.

DOI: 10.1145/1294261.1294281

Google Scholar

[3] Rahman R M, Barker K, Alhajj R. Replica placement strategies in data grid[J]. Journal of Grid Computing, 2008, 6(1): 103-123.

DOI: 10.1007/s10723-007-9090-8

Google Scholar

[4] Zaman S, Grosu D. A distributed algorithm for the replica placement problem[J]. IEEE Transactions on Parallel and Distributed Systems, 2011, 22(9): 1455-1468.

DOI: 10.1109/tpds.2011.27

Google Scholar

[5] Ding Y, Lu Y. Automatic data placement and replication in grids[C]/Proceedings of the International Conference on High Performance Computing. Kochi. Japan, 2009: 30-39.

DOI: 10.1109/hipc.2009.5433229

Google Scholar

[6] Chandy J A. A generalized replica placement strategy to optimize latency in a wide area distributed storage system[C]/Proceedings of the international workshop on Data-aware distributed computing. Boston, USA, 2008: 49-54.

DOI: 10.1145/1383519.1383525

Google Scholar

[7] AL-Mistarihi H H E, Yong C H. On fairness, optimizing replica selection in data grids[J]. IEEE Transactions on Parallel and Distributed Systems, 2009, 20(8): 1102-1111.

DOI: 10.1109/tpds.2008.264

Google Scholar

[8] Qin Jin. Optimal model and algorithm for multi-commodity logistics network design [D]. Central South University, (2006).

Google Scholar

[9] Li F, Xu L D, Jin C, et al. Intelligent bionic genetic algorithm (IB-GA) and its convergence[J]. Expert Systems with Applications, 2011, 38(7): 8804-8811.

DOI: 10.1016/j.eswa.2011.01.091

Google Scholar

[10] Calheiros R N, Ranjan R, Beloglazov A, et al. CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms[J]. Software: Practice and Experience, 2011, 41(1): 23-50.

DOI: 10.1002/spe.995

Google Scholar