IO Tetris: Deep storage consolidation for the cloud via fine-grained workload analysis

Proceedings - 2011 IEEE 4th International Conference on Cloud Computing, CLOUD 2011

Volumn , Issue , 2011, Pages 700-707

  Zhang, Rui ^a   Routray, Ramani ^a   Eyers, David M ^b   Chambliss, David ^a   Sarkar, Prasenjit ^a   Willcocks, Douglas ^c   Pietzuch, Peter ^c  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b UNIVERSITY OF OTAGO   (New Zealand)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CORE FUNCTIONALITY; DATA CENTERS; FIRST LOOK; HIERARCHICAL GROUPINGS; I/O TRACES; LOWER-POWER CONSUMPTION; MIGRATION COSTS; NON-TRIVIAL; RESOURCE UTILIZATIONS; RETURN ON INVESTMENTS; STORAGE SYSTEMS; TEMPORAL PATTERN; TWO STAGE; WORKLOAD ANALYSIS; WORKLOAD CONSOLIDATION;

INDUSTRY; INVESTMENTS; PROFITABILITY; QUALITY OF SERVICE; STAGES;

CLOUD COMPUTING;

EID: 80053170083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CLOUD.2011.103     Document Type: Conference Paper

References (16)

1. M. Armbrust, A. Fox, R. Griffith et al., "Above the Clouds: A Berkeley View of Cloud Computing," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2009-28, Feb 2009.
2. "Amazon Simple Storage Service S3," Amazon, 2010. [Online]. Available: http://aws.amazon.com/s3/
3. J. Zheng, T. S. E. Ng, and K. Sripanidkulchai, "Workload-Aware Live Storage Migration for Clouds," in Proceedings of the ACM SIG-PLAN/SIGOPS International Conference on Virtual Execution Environments (VEE), 2011.
4. Z. Gong and X. Gu, "PAC: Pattern-driven Application Consolidation for Efficient Cloud Computing," in MASCOTS, 2010.
5. "VMWare vMotion," VMWare, 2010. [Online]. Available: http://www.vmware.com
6. S. Gopisetty, E. Butler, S. Jaquet, M. Korupolu, T. K. Nayak, R. Routray, M. Seaman, A. Singh, C.-H. Tan, S. Uttamchandani, and A. Verma, "Automated Planners for Storage Provisioning and Disaster Recovery," IBM J. Res. Dev., vol. 52, July 2008.
7. K. Gupta, P. Sarkar, and L. Mbogo, "MIRAGE: Storage Provisioning in Large Data Centers using Balanced Component Utilizations," SIGOPS Oper. Syst. Rev., vol. 42, January 2008.
8. A. Verma, G. Dasgupta, T. K. Nayak, P. De, and R. Kothari, "Server Workload Analysis for Power Minimization using Consolidation," in Proceedings of the USENIX Annual Technical Conference (USENIX ATC), Berkeley, CA, USA, 2009.
9. C. M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics), 1st ed. Springer, October 2007.
10. G. Brock, V. Pihur, S. Datta, and S. Datta, "clvalid: An r package for cluster," Journal of Statistical Software, 2008.
11. G. Zhang, L. Chiu, and L. Liu, "Adaptive Data Migration in Multi-tiered Storage Based Cloud Environment," in Proceedings of the IEEE 3rd International Conference on Cloud Computing (CLOUD), Washington, DC, USA, 2010.
12. M. Mazzucco, D. Dyachuk, and R. Deters, "Maximizing Cloud Providers' Revenues via Energy Aware Allocation Policies," in Proceedings of the IEEE 3rd International Conference on Cloud Computing (CLOUD), Washington, DC, USA, 2010.
13. K. K. Ramakrishnan, P. Shenoy, and J. Van der Merwe, "Live Data Center Migration across WANs: A Robust Cooperative Context-aware Approach," in Proceedings of the SIGCOMM Workshop on Internet Network Management (INM), New York, NY, USA, 2007.
14. A. K. Mishra, J. L. Hellerstein, W. Cirne, and C. R. Das, "Towards characterizing cloud backend workloads: insights from google compute clusters," SIGMETRICS Perform. Eval. Rev., vol. 37, pp. 34-41, March 2010.
15. B. C. Fung, K. Wang, and M. Ester, "Hierarchical Document Clustering Using Frequent Itemsets," in Proceedings of the Siam International Conference on Daa Mining (SDM), 2003.
16. P. Saripalli, G. Kiran, R. S. R, H. Narware, and N. Bindal, "Load Prediction and Hot Spot Detection Models for Autonomic Cloud Computing," in Workshop on Hot Topics in Management of Internet, Cloud, and Enterprise Networks and Services (HotICE), 2011.