Reliability Analysis of Cloud-RAID 6 with Imperfect Fault Coverage

doi:10.23940/ijpe.17.03.p5.289297

Abstract

Abstract:

Cloud-RAID (Redundant Array of Independent Disks) is a data storage model, where different data redundancy techniques (corresponding to different levels) are utilized to enhance data reliability and availability in an anytime, anywhere data access framework implemented in the cloud environment. Such a fault-tolerant system can be subject to imperfect coverage due to imperfect fault detection or recovery mechanism, causing extensive damage to the whole system. In this paper, we model reliability of a cloud-RAID 6 storage system addressing effects of two types of imperfect coverage (element level coverage and fault level coverage). Numerical results are provided to illustrate effects of those behaviors on the system reliability performance.

Submitted on February 23, 2017; Revised on April 20, 2017; Accepted on April 22, 2017
References: 25

Lavanya Mandava Liudong Xing. Reliability Analysis of Cloud-RAID 6 with Imperfect Fault Coverage [J]. Int J Performability Eng, 2017, 13(3): 289-297.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

References 0

	1. T. Erl, R. Puttini, and Z. Mahmood, “Cloud Computing Concepts, Technology & Architecture,” The Prentice Hall Service Technology Series, Prentice Hall, 2013
	2. J. Deng, S. C. H. Huang, Y. S. Han, and J. H. Deng, “Fault Tolerant and Reliable Computation in Cloud Computing,” Proc. of IEEE Globecom workshops, pp. 1601-1605, December 2010
	3. C. Wang, L. Xing, H. Wang, Y. Dai, and Z. Zhang, “Performance Analysis of Media Cloud-Based Multimedia Systems with Retrying Fault-Tolerance Technique,” IEEE Systems Journal, Special Issue on Recent Advances in Cloud-based Multimedia Systems, vol. 8, no. 1, pp. 313-321, 2014
	4. G. Robinson, A. Narin, and C. Elleman, “Using Amazon Web Services for Disaster Recovery,” Amazon web services, 2013
	5. R. Zhang, C. Lin, K. Meng, and L. Zhu, “A modeling reliability analysis technique for cloud storage system,” Proc. of 15th IEEE Intl. Conf. on Communication Technology, pp. 32-36, November 2013
	6. W. Li, Y. Yang, and J. Chen, “A cost-effective mechanism for cloud data reliability management based on proactive replica checking,” IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp. 564–571, May 2012
	7. C. Y. Lin, and W. G. Tzeng, “Game-Theoretic Strategy Analysis for Data Reliability Management in Cloud Storage Systems,” Intl. Conf. on Software Security and Reliability, pp. 187-195, July 2014
	8. Y. Lu, and S. Xia, “Novel erasure codes with repair optimality for cloud storage,” International Conference on Information and Communications Technologies, pp. 1-5, April 2015
	9. R. Zhang, C. Lin, K. Meng, and L. Zhu, “BEC: A reliable and efficient mechanism for cloud storage service,” IEEE Intl. Conf. on Communication Technology, pp. 717-721, November 2013
	10. D. Fitch, and H. Xu, “A RAID-based secure and fault-tolerant model for cloud information storage,” Intl. J. of Software Engineering and Knowledge Engineering, vol. 23, pp. 627-654, April 2013
	11. Q. Liu, and L. Xing, “Reliability Modeling of Cloud-RAID-6 Storage System,” International Journal of Future Computer and Communication, vol. 4, no. 6, pp. 415-420, December 2015
	12. F. Bausch, Cloud-RAID Concept, available at http://blog.fbausch.de/cloudraid-3-concept/, accessed in April 2017
	13. T. Jin, Y. Yu, and L. Xing, “Reliability Analysis of RAID Systems using Repairable k-out-of-n Modeling Techniques,” Intl. Conf. on Interface between Statistics & Engineering, pp. 13-15, 2009
	14. Q. Liu, and L. Xing, “Hierarchical Reliability Analysis of Multi-state Cloud-RAID Storage System,” Proc. of Intl. Conf. on Quality, Reliability, Risk, Maintenance, & Safety Eng., July 2015
	15. A. Myers, “Complex System Reliability,” Springer Series in Reliability Engineering, 2nd edition, September 23, 2010
	16. T. Jin, L. Xing, and Y. Yu, “A hierarchical Markov reliability model for data storage systems with media self-recovery,” International Journal of Reliability, Quality and Safety Engineering, vol. 18, pp. 25-41, November 2011
	17. D. Patterson, P. Chen, G. Gibson, and R. H. Katz, “Introduction to Redundant Arrays of Inexpensive Disks (RAID),” Proceedings of Thirty-Fourth IEEE Computer Society International Conference: Intellectual Leverage, Digest of Papers, pp. 112-117, February-March 1989
	18. S. V. Amari, A. Myers, and A. Rauzy, “An Efficient Algorithm to Analyze New Imperfect Fault Coverage Models,” Proc. of Annual Reliability and Maintainability Symposium, pp. 420-426, January 2007
	19. S. V. Amari, A. Myers, A. Rauzy, and K. Trivedi, “Imperfect coverage models: status and trends,” Handbook of Performability Engineering, Editor: K. B. Misra, Springer, 2008
	20. A. Myers, “k-out-of-n: G system reliability with imperfect fault coverage,” IEEE Transactions on Reliability, vol. 56, no. 3, pp. 464-473, September 2007
	21. A. Myers, and A. Rauzy, “Assessment of redundant systems with imperfect coverage by means of binary decision diagrams,” Reliability Eng. & System Safety, vol. 93, pp. 1025-1035, 2008
	22. L. Xing, and S. V. Amari, “Binary Decision Diagrams and Extensions for System Reliability Analysis,” Wiley-Scrivener, MA, ISBN: 978-1-118-54937-7, 2015
	23. L. Xing, H. Wang, C. Wang, and Y. Wang, “BDD-Based Two-Party Trust Sensitivity Analysis for Social Networks,” Intl. Journal of Security and Networks, vol. 7, no. 4, pp. 242 – 251, 2012
	24. S. V. Amari, J. B. Dugan, and R.B. Misra, “A separable method for incorporating imperfect fault-coverage into combinatorial models,” IEEE Trans. on Reliability, vol. 48, no. 3, pp. 267-274, 1999
	25. L. Xing, and J. B. Dugan, “Analysis of Generalized Phased Mission System Reliability, Performance and Sensitivity,” IEEE Transactions on Reliability, vol. 51, no. 2, pp. 199-211, 2002