Automatic exploration of datacenter performance regimes

Proceedings of the 1st Workshop on Automated Control for Datacenters and Clouds, ACDC '09

Volumn , Issue , 2009, Pages 1-6

  Bodík, Peter ^a   Griffith, Rean ^a   Sutton, Charles ^a   Fox, Armando ^a   Jordan, Michael I ^a   Patterson, David A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Automatic control; Resource allocation

Indexed keywords

AUTOMATION; CONTROL ENGINEERING; CONTROLLERS; ECONOMICS; RESOURCE ALLOCATION;

ACCURATE PERFORMANCE; EXPLORATION POLICY; EXPLORATION PROCESS; INTERNET SERVICES; OPTIMAL ALLOCATION; PERFORMANCE MODEL; RESOURCE ALLOCATION STRATEGIES; WEB 2.0 APPLICATIONS;

VEHICLE PERFORMANCE;

EID: 70450260432     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1555271.1555273     Document Type: Conference Paper

References (16)

1. J. Allspaw. The Art of Capacity Planning: Scaling Web Resources. óReilly Media, Inc., 2008.
2. S. Babu, N. Borisov, S. Duan, H. Herodotou, and V. Thummala. Automated experiment-driven management of (database) systems. In HotOS, 2009.
3. M. N. Bennani and D. A. Menasce. Resource allocation for autonomic data centers using analytic performance models. In ICAC, 2005.
4. P. Bodík, G. Friedman, L. Biewald, H. Levine, G. Candea, K. Patel, G. Tolle, J. Hui, A. Fox, M. I. Jordan, and D. Patterson. Combining visualization and sttistical analysis to improve operator confidence and efficiency for failure detection and localization. In ICAC, 2005.
5. J. Chase, D. C. Anderson, P. N. Thakar, A. M. Vahdat, and R. P. Doyle. Managing energy and server resources in hosting centers. In Symposium on Operating Systems Principles (SOSP), 2001.
6. 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 ICAC '08: Proceedings of the 2008 International Conference on Autonomic Computing, pages 3-12, Washington, DC, USA, 2008. IEEE Computer Society.
7. X. Liu, J. Heo, L. Sha, and X. Zhu. Adaptive control of multi-tiered web applications using queueing predictor. Network Operations and Management Symposium, 2006. NOMS 2006. 10th IEEE/IFIP, pages 106-114, April 2006.
8. P. Shivam, S. Babu, and J. Chase. Active sampling for accelerated learning of performance models. In SysML, 2006.
9. P. Shivam, V. Marupadi, J. Chase, T. Subramaniam, and S. Babu. Cutting corners: Workbench automation for server benchmarking. In USENIX, 2008.
10. W. Sobel, S. Subramanyam, A. Sucharitakul, J. Nguyen, H. Wong, S. Patil, A. Fox, and D. Patterson. Cloudstone: Multi-platform, multi-language benchmark and measurement tools for web 2.0, 2008.
11. C. Stewart and K. Shen. Performance modeling and system management for multi-component online services. In NSDI, 2005.
12. R. S. Sutton and A. G. Barto. Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning). The MIT Press, March 1998.
13. G. Tesauro, N. Jong, R. Das, and M. Bennani. A hybrid reinforcement learning aproach to autonomic resource allocation. In International Conference on Autonomic Computing (ICAC), 2006.
14. B. Urgaonkar, P. Shenoy, A. Chandra, and P. Goyal. Dynamic provisioning of multi-tier internet applications. In ICAC, 2005.
15. P. Vosshall. Amazon, Personal communication.
16. L. Wasserman. All of Nonparametric Statistics (Springer Texts in Statistics). Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2006.