RTRM: A response time-based replica management strategy for cloud storage system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7861 LNCS, Issue , 2013, Pages 124-133

  Bai, Xiaohu ^a   Jin, Hai ^a   Liao, Xiaofei ^a   Shi, Xuanhua ^a   Shao, Zhiyuan ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Dynamic replica management; Load balance; OptorSim; Response time

Indexed keywords

CLOUD STORAGE SYSTEMS; DYNAMIC REPLICA MANAGEMENT; HOT RESEARCH TOPICS; LOAD BALANCE; NET WORK UTILIZATION; OPTORSIM; REDUCTION ALGORITHMS; SERVICE RESPONSE TIME;

COMPUTATIONAL COMPLEXITY; GRAPH THEORY; STORAGE MANAGEMENT; UBIQUITOUS COMPUTING;

RESPONSE TIME (COMPUTER SYSTEMS);

EID: 84883369215     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38027-3_13     Document Type: Conference Paper

References (14)

1. Ghemawat, S., Gobioff, H., Leung, S.T.: The Google File System. In: Proceedings of 19th ACM Symposium on Operating Systems Principles, pp. 29-43. ACM Press, New York (2003)
2. Sage, A.W., Scott, A.B., Ethan, L.M., Darrell, D.E.L., Carlos, M.: Ceph: A Scalable, High-Performance Distributed File System. In: Proceedings of 7th Conference on Operating System Design and Implementation (OSDI 2006), pp. 307-320. USENIX Press, Seattle (2006)
3. The Apache Software Foundation, Hadoop, http://hadoop.apache.org/
4. Sun, H., Wang, X., Zhou, B., Jia, Y., Wang, H., Zou, P.: The Storage Alliance Based Double-Layer Dynamic Replica Creation Strategy-SADDRES. Chinese Journal of Electronics 33(7), 1222-1226 (2003)
5. Hou, M.S., Wang, X.B., Lu, X.L.: A Novel Dynamic Replication Management Mechanism. Compute Science 33(9), 50-52 (2006)
6. Chang, R.S., Chang, H.P.: A Dynamic Data Replication Strategy Using Access-Weights in Data Grids. Journal of Supercomputing 45, 277-295 (2008)
7. Rahman, R.M., Barker, K., Alhajj, R.: Replica Placement in Data Grid: Considering Utility and Risk. In: Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC 2005), pp. 354-359. IEEE Press, Las Vegas (2005)
8. Ranganathan, K., Iamnitchi, A., Foster, I.: Improving Data Availability through Dynamic Model-Driven Replication in Large Peer-to-Peer Communities. In: Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, pp. 376-381. IEEE/ACM, Berlin, Germany (2002)
9. Li, D., Xiao, N., Lu, X., Wang, Y., Lu, K.: Dynamic self-adaptive replica location method in data grids. Journal of Computer Research and Development 40(12), 1775-1780 (2003)
10. Bell, W.H., Cameron, D.G., Millar, A.P., Capozza, L., Stockinger, K., Zini, F.: OptorSim-A Grid Simulator for Studying Dynamic Data Replication Strategies. International Journal of High Performance Computing Applications 17(4), 403-416 (2003)
11. Ross, R.B., Rajeev, T.: Pvfs: A parallel file system for linux clusters. In: Proceedings of the 4th Annual Linux Showcase and Conference, pp. 391-430. USENIX Press, Atlanta (2000)
12. Hildebrand, D., Ward, L., Honeyman, P.: Large files, small writes, and pnfs. In: Proceedings of the 20th ACM International Conference on Supercomputing, pp. 116-124. ACM Press, New York (2006)
13. Schmuck, F., Haskin, R.: Gpfs: A shared-disk file system for large computing clusters. In: Proceedings of the First USENIX Conference on File and Storage Technologies, pp. 231-244. USENIX Press, Berkeley (2002)
14. Lustre: A scalable, High-performance File System, http://www.lustre.ort/ docs/lustre.pdf