A novel cost-effective dynamic data replication strategy for reliability in cloud data Centres

Proceedings - IEEE 9th International Conference on Dependable, Autonomic and Secure Computing, DASC 2011

Volumn , Issue , 2011, Pages 496-502

  Li, Wenhao ^a   Yang, Yun ^a,b   Yuan, Dong ^a  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

^b ANHUI UNIVERSITY   (China)

Author keywords

Cloud Computing; Data Centre; Data Reliability; Data Replication

Indexed keywords

CLOUD DATA; CLOUD SYSTEMS; DATA CENTRES; DATA RELIABILITY; DATA REPLICATION; DATA STORAGE; DYNAMIC DATA REPLICATION; REPLICATION METHOD; REPLICATION STRATEGIES; STORAGE COSTS;

COST EFFECTIVENESS; COST REDUCTION; EMBEDDED SOFTWARE; RELIABILITY;

CLOUD COMPUTING;

EID: 84862931032     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DASC.2011.95     Document Type: Conference Paper

References (23)

1. J. Abawajy, "Fault-tolerant scheduling policy for grid computing systems," in International Parallel and Distributed Processing Symposium, pp. 238-244, 2004.
2. M. Al-Fares, A. Loukissas, and A. Vahdat, "A scalable, commodity data center network architecture," Computer Communication Review, vol. 38, pp. 63-74, 2008.
3. Amazon. (2008). Amazon simple storage service (Amazon S3). Available: http://aws.amazon.com/s3
4. D. Borthakur. (2007). The Hadoop distributed file system: Architecture and design. Available: http://hadoop.apache.org/common/docs/r0.18.3/hdfs-design. html
5. C. Dabrowski, "Reliability in grid computing systems," Concurrency and Computation: Practice and Experience, vol. 21, pp. 927-959, 2009.
6. J. Dean, "Experiences with MapReduce, an abstraction for large-scale computation," in International Conference on Parallel Architectures and Compilation Techniques pp. 1 - 1, 2006.
7. J. Dean and S. Ghemawat, "MapReduce: Simplified data processing on large clusters," Communications of the ACM, vol. 51, pp. 107-113, 2008.
8. M. Deris, J. Abawajy, and H. Suzuri, "An efficient replicated data access approach for large-scale distributed systems," in IEEE International Symposium on Cluster Computing and the Grid, pp. 588-594, 2004.
9. R. Duan, R. Prodan, and T. Fahringer, "Data mining-based fault prediction and detection on the Grid," in IEEE International Symposium on High Performance Distributed Computing, pp. 305-308, 2006.
10. S. Ghemawat, H. Gobioff, and S. Leung, "The Google file system," in ACM Symposium on Operating Systems Principles pp. 29 - 43, 2003.
11. N. Joukov, A. Rai, and E. Zadok, "Increasing distributed storage survivability with a stackable RAID-like file system," in IEEE International Symposium on Cluster Computing and the Grid, pp. 82-89, 2005.
12. S. Y. Ko, I. Hoque, B. Cho, and I. Gupta, "On availability of intermediate data in cloud computations," in Conference on Hot Topics in Operating Systems, pp. 6-6, 2009.
13. S. Y. Ko, I. Hoque, B. Cho, and G. I., "Making cloud intermediate data fault-tolerant," in ACM Symposium on Cloud computing, pp. 181-192, 2010.
14. M. Lei, S. Vrbsky, and Q. Zijie, "Online grid replication optimizers to improve system reliability," in IEEE International Symposium on Parallel and Distributed Processing, pp. 1-8, 2007.
15. S. L. Morgan and C. Waring, G. (2004). Guidance on testing data reliability. Available: http://www.ci.austin.tx.us/auditor/downloads/testing.pdf
16. D. Patterson, G. Gibson, and R. Katz, "A case for redundant arrays of inexpensive disks (RAID)," in ACM SIGMOD International Conference on the Management of Data, pp. 109-116, 1988.
17. E. B. Richard, "A bayes explanation of an apparent failure rate paradox," IEEE Transactions on Reliability, vol. 34, pp. 107-108 1985.
18. Y. Saito and M. Shapiro, "Optimistic replication," ACM Computing Surveys, vol. 37, pp. 42-81, 2005.
19. S. Takizawa, Y. Takamiya, H. Nakada, and S. Matsuoka, "A scalable multi-replication framework for data grid," in Symposium on Applications and the Internet Workshops, pp. 310-315, 2005.
20. L. M. Vaquero, L. Rodero-Merino, J. Caceres, and M. Lindner, "A break in the clouds: towards a cloud definition," ACM SIGCOMM Computer Communication Review, vol. 39, pp. 50-55, 2009.
21. J. W. Young, "A first order approximation to the optimal checkpoint Interval," Communications of the ACM, vol. 17, pp. 530-531, 1974.
22. D. Yuan, Y. Yang, X. Liu, G. Zhang, and J. Chen, "A data dependency based strategy for intermediate data storage in scientific cloud workflow systems," Concurrency and Computation: Practice and Experience, 2010.
23. Q. Zheng, "Improving mapreduce fault tolerance in the cloud," in IEEE International Symposium on Parallel & Distributed Processing, Workshops and PhD Forum, pp. 1-6, 2010.