Dynamic energy-aware capacity provisioning for cloud computing environments

ICAC'12 - Proceedings of the 9th ACM International Conference on Autonomic Computing

Volumn , Issue , 2012, Pages 145-154

  Zhang, Qi ^a   Zhani, Mohamed Faten ^a   Zhang, Shuo ^b   Zhu, Quanyan ^c   Boutaba, Raouf ^a,d   Hellerstein, Joseph L ^e  

^a UNIVERSITY OF WATERLOO   (Canada)

^b NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d Pohang University of Science and Technology (POSTECH)   (South Korea)

^e GOOGLE INC   (United States)

Author keywords

Cloud computing; Energy manage ment; Model predictive control; Resource management

Indexed keywords

ANALYSIS AND SIMULATION; CAPITAL INVESTMENT; COMPUTING ENVIRONMENTS; COST FACTORS; DATA CENTERS; DISCRETE-TIME OPTIMAL CONTROL PROBLEM; DYNAMIC CAPACITY; ECONOMIES OF SCALE; ELECTRICITY PRICE FLUCTUATION; ENERGY AWARE; ENERGY COST; LARGE DATA; OPTIMAL CONTROL POLICY; POWER DISTRIBUTIONS; RECONFIGURATION COSTS; RESOURCE DEMANDS; RESOURCE MANAGEMENT; SAVING ENERGY; TASK-SCHEDULING; TOTAL ENERGY;

CLOUD COMPUTING; COMPUTER SYSTEMS; COSTS; INVESTMENTS; MODEL PREDICTIVE CONTROL; MULTITASKING; OPTIMAL CONTROL SYSTEMS; PREDICTIVE CONTROL SYSTEMS; SCHEDULING ALGORITHMS;

COST BENEFIT ANALYSIS;

EID: 84867698582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2371536.2371562     Document Type: Conference Paper

References (27)

1. Energy star computers specification - feb. 14, 2012. http://www. energystar.gov/ia/partners/proddevelop-ment/revisions/downloads/computer/ ESComputers-Draft1Version6.0Specification.pdf.
2. Eucalyptus community. http://open.eucalyptus.com/.
3. Google cluster-usage traces: format + schema. http://googleclusterdata. googlecode.com/files/Google%20cluster-usage%20traces%20- %20format%20%2B%20schema%20%282011.10.27%20external%29.pdf.
4. Googleclusterdata - traces of google workloads. http://code.google.com/p/ googleclusterdata/.
5. Technology research - Gartner Inc. http://www.gartner.com/it/page.jsp?id= 1442113.
6. U.S. Energy Information Administration (EIA). http://www.eia.gov/.
7. Z. Abbasi, G. Varsamopoulos, and S. K. S. Gupta. Thermal aware server provisioning and workload distribution for Internet data centers. In Proceedings of the ACM International Symposium on High Performance Distributed Computing (HPDC), 2010.
8. C. Bash, C. Patel, and R. Sharma. Dynamic thermal management of air cooled data centers. In IEEE Intersociety Conference on the Thermal and Thermomechanical Phenomena in Electronics Systems (ITHERM), 2006.
9. G. E. P. Box, G. M. Jenkins, and G. C. Reinsel. Time Series Analysis, Forecasting, and Control. Prentice-Hall, third edition, 1994.
10. S. Boyd and L. Vandenberghe. Convex Optimization. Cambridge University Press, New York, USA, 2004.
11. G. Chen, W. He, J. Liu, S. Nath, L. Rigas, L. Xiao, and F. Zhao. Energy-aware server provisioning and load dispatching for connection-intensive Internet services. In USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2008.
12. J. Dean and S. Ghemawat. MapReduce: Simplified data processing on large clusters. Communications of the ACM, 51(1), 2008.
13. P. A. Dinda. Design, implementation, and performance of an extensible toolkit for resource prediction in distributed systems. IEEE Trans. Parallel Distrib. Syst., 17, February 2006.
14. X. Fan, W.-D. Weber, and L. A. Barroso. Power provisioning for a warehouse-sized computer. In Proceedings of the annual international symposium on Computer architecture (ISCA), 2007.
15. Y. Fu, C. Lu, and H. Wang. Robust control-theoretic thermal balancing for server clusters. In IEEE International Symposium on Parallel Distributed Processing (IPDPS), April 2010.
16. B. Guenter, N. Jain, and C. Williams. Managing cost, performance, and reliability tradeoffs for energy-aware server provisioning. In IEEE INFOCOM, April 2011.
17. A. Gulati, A. Holler, M. Ji, G. Shanmuganathan, C. Waldspurger, and X. Zhu. VMware distributed resource management: Design, implementation, and lessons learned. In VMware Technical Journal, 2012.
18. D. Kusic, J. O. Kephart, J. E. Hanson, N. Kandasamy, and G. Jiang. Power and performance management of virtualized computing environments via lookahead control. In Proceedings of the International Conference on Autonomic Computing (ICAC), 2008.
19. A. Qureshi, R. Weber, H. Balakrishnan, J. Guttag, and B. Maggs. Cutting the electric bill for Internet-scale systems. In ACM SIGCOMM Computer Communication Review, volume 39, 2009.
20. R. Raghavendra, P. Ranganathan, V. Talwar, Z. Wang, and X. Zhu. No power struggles: Coordinated multi-level power management for the data center. In ACM SIGARCH Computer Architecture News, volume 36. ACM, 2008.
21. B. Sharma, V. Chudnovsky, J. Hellerstein, R. Rifaat, and C. Das. Modeling and synthesizing task placement constraints in google compute clusters. In Proceedings of ACM Symposium on Cloud Computing, 2011.
22. Z. Shen, S. Subbiah, X. Gu, and J. Wilkes. Cloudscale: Elastic resource scaling for multi-tenant cloud systems. In Proceedings of the ACM Symposium on Cloud Computing, 2011.
23. A. Verma, P. Ahuja, and A. Neogi. pMapper: power and migration cost aware application placement in virtualized systems. In ACM/IFIP/USENIX Middleware, 2008.
24. A. Verma, G. Dasgupta, T. Nayak, P. De, and R. Kothari. Server workload analysis for power minimization using consolidation. In Proceedings of the conference on USENIX Annual technical conference. USENIX Association, 2009.
25. G. von Laszewski, L. Wang, A. Younge, and X. He. Power-aware scheduling of virtual machines in DVFS-enabled clusters. In IEEE International Conference on Cluster Computing and Workshops (CLUSTER), 2009.
26. X. Wang and M. Chen. Cluster-level feedback power control for performance optimization. In IEEE International Symposium on High Performance Computer Architecture (HPCA), February 2008.
27. Q. Zhang, J. Hellerstein, and R. Boutaba. Characterizing task usage shapes in Google's compute clusters. In Workshop on Large Scale Distributed Systems and Middleware (LADIS), 2011.