Adaptive scheduling on power-aware managed data-centers using machine learning

Proceedings - 2011 12th IEEE/ACM International Conference on Grid Computing, Grid 2011

Volumn , Issue , 2011, Pages 66-73

  Berral, Josep Ll ^a   Gavaldà, Ricard ^a   Torres, Jordi ^a  

^a BARCELONA SUPERCOMPUTING CENTER   (Spain)

Author keywords

Data centers; Energy; Heuristics; Machine Learning; Scheduling; SLA

Indexed keywords

DATA CENTERS; ENERGY; HEURISTICS; MACHINE-LEARNING; SLA;

COMMERCE; COMPUTATIONAL COMPLEXITY; COMPUTER PROGRAMMING; INFORMATION MANAGEMENT; INFORMATION TECHNOLOGY; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MATHEMATICAL PROGRAMMING; PROFITABILITY; QUALITY OF SERVICE; SCHEDULING;

GRID COMPUTING;

EID: 83455173745     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/Grid.2011.18     Document Type: Conference Paper

References (24)

1. Europe's energy portal. http://www.energy.eu.
2. J. Berral, R. Gavaldà, and J. Torres. An Integer Linear Programming Representation for DataCenter Power-Aware Management, 2010. http://www.lsi.upc.edu/dept/techreps/llistat detallat.php?id=1096.
3. J. Berral, R. Gavaldà, and J. Torres. Li-BCN Workload 2010, 2011. http://www.lsi.upc.edu/ jlberral/documents/libcn-2011.pdf.
4. J. Berral, Í. Goiri, R. Nou, F. Julià, J. Guitart, R. Gavalda, and J. Torres. Towards energy-aware scheduling in data centers using machine learning. In 1st International Conference on Energy-Efficient Computing and Networking (eEnergy'10), pages 215-224, 2010.
5. J. S. Chase, D. C. Anderson, P. N. Thakar, and A. M. Vahdat. Managing energy and server resources in hosting centers. In 18th ACM Symposium on Operating System Principles (SOSP), pages 103-116, 2001.
6. T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein. Introduction to algorithms, second edition, 2001.
7. G. Dhiman. Dynamic power management using machine learning. In IEEE/ACM Intl. Conf. on Computer-Aided Design 2006, 2006.
8. J. O. Fitó, Í. Goiri, and J. Guitart. SLA-driven Elastic Cloud Hosting Provider. In Euromicro Conference on Parallel, Distributed and Network-based Processing (PDP'10), pages 111-118, 2010.
9. Í. Goiri, J. Guitart, and J. Torres. Characterizing Cloud Federation for Enhancing Providers Profit. In 3rd International conference on Cloud Computing (CLOUD 2010), pages 123-130, 2010.
10. Í. Goiri, F. Julià, J. Ejarque, M. De Palol, R. M. Badia, J. Guitart, and J. Torres. Introducing Virtual Execution Environments for Application Lifecycle Management and SLA-Driven Resource Distribution within Service Providers. In IEEE International Symposium on Network Computing and Applications (NCA'09), pages 211-218, 2009.
11. Í. Goiri, F. Julià, R. Nou, J. Berral, J. Guitart, and J. Torres. Energyaware Scheduling in Virtualized Datacenters. In 12th IEEE International Conference on Cluster Computing (Cluster 2010), 2010.
12. GUROBI. Gurobi optimization, 2011. http://www.gurobi.com/.
13. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten. The weka data mining software: an update. SIGKDD Explor. Newsl., 11(1):10-18, 2009.
14. K. Hornik. The R FAQ, 2010. ISBN 3-900051-08-9.
15. F. Julià, J. Roldàn, R. Nou, O. Fitó, Vaquè, G. Í., and J. Berral. EEFSim: Energy Efficency Simulator, 2010.
16. I. Kamitsos, L. Andrew, H. Kim, and M. Chiang. Optimal Sleep Patterns for Serving Delay-Tolerant Jobs. In 1st International Conference on Energy-Efficient Computing and Networking (eEnergy'10), 2010.
17. L. Liu, H. Wang, X. Liu, X. Jin, W. He, Q. Wang, and Y. Chen. Green- Cloud: a New Architecture for Green Data Center. In 6th International Conference on Autonomic Computing and Communications, 2009.
18. R. Nathuji, K. Schwan, A. Somani, and Y. Joshi. Vpm tokens: virtual machine-aware power budgeting in datacenters. Cluster Computing, 12(2):189-203, 2009.
19. V. Petrucci, O. Loques, and D. Mossé. A Dynamic Configuration Model for Power-efficient Virtualized Server Clusters. In 11th Brazillian Workshop on Real-Time and Embedded Systems (WTR), 2009.
20. R. S. Sutton and A. G. Barto. Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA, 1998.
21. Y. Tan, W. Liu, and Q. Qiu. Adaptive power management using reinforcement learning. In International Conference on Computer-Aided Design (ICCAD '09), pages 461-467, New York, NY, USA, 2009. ACM.
22. G. Tesauro, N. K. Jong, R. Das, and M. N. Bennani. A hybrid reinforcement learning approach to autonomic resource allocation. In In Proc. of ICAC-06, pages 65-73, 2006.
23. V. V. Vazirani. Approximation Algorithms. Springer-Verlag, 2001.
24. W. Vogels. Beyond server consolidation. Queue, 6(1):20-26, 2008.