Resource provisioning for cloud computing

Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research, CASCON '09

Volumn , Issue , 2009, Pages 101-111

  Hu, Ye ^a   Wong, Johnny ^a   Iszlai, Gabriel ^b   Litoiu, Marin ^c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b IBM TORONTO LAB   (Canada)

^c YORK UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALLOCATION STRATEGY; CLOUD COMPUTING; OPERATING CONDITION; PERFORMANCE MODEL; RESOURCE PROVISIONING; RESPONSE TIME; RESPONSE TIME DISTRIBUTION; SCHEDULING DISCIPLINE; SERVICE LEVEL AGREEMENTS;

HEURISTIC ALGORITHMS; SIMULATED ANNEALING;

SERVERS;

EID: 77951602825     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1723028.1723041     Document Type: Conference Paper

References (19)

1. W.E. Walsh, G. Tesauro, J.O. Kephart, and R. Das. Utility Functions in Autonomic Systems. Proc. 1st International Conference on Autonomic Computing, New York, 2004.
2. L. Kleinrock. Queuing Systems Volume2: Computer Applications. Wiley-Interscience, New York, 1976.
3. A. Lenk, M. Klems, J. Nimis, et al. What's Inside the Cloud? An Architectural Map of Cloud Landscape. Proc. ACM/IEEE Symposium on Cloud Computing Challenges, 23-31, Vancouver, 2009.
4. J. Li, J. Chinneck, M. Woodside, and M. Litoiu. Fast Scalable Optimization to Configure Service Systems having Cost and Quality of Service Constraints. Proc. IEEE International Conference on Autonomic Systems, Barcelona, 2009.
5. Y. Hu. Resource Allocation for Multiple Job Classes. Master's Thesis, University of Waterloo, 2009.
6. M. Kwok. Performance Analysis of Distributed Virtual Environments. PhD Thesis, University of Waterloo, 2006.
7. J.W. Wong and S.S. Lam. Queueing Network Models of Packet-Switching Networks, Part I: Open Networks. Performance Evaluation, 9-21, 1982. (Pubitemid 12564372)
8. G. Tesauro, R. Das, W.E. Walsh, and J.O. Kephart. Utility-function-driven resource allocation in autonomic systems. Proc. 2nd International Conference on Autonomic Computting, Seattle, 2005.
9. M.N. Bennani and D.A. Menasce. Resource Allocation for Autonomic Data Centers using Analytic Performance Models. Proc. 2nd International Conference on Autonomic Computing, Seattle, 2005.
10. M. Woodside, T. Zheng, and M. Litoiu. Service System Resource Management Based on a Tracked Layered Performance Model. Proc. 3rd International Conference on Autonomic Computing, Dublin, 2006.
11. Q. Zhang, L. Cherkasova, and E. Smirni. A Regression-Based Analytic Model for Dynamic Resource Provisioning of Multi-tier Applications. Proc. 4th International Conference on Autonomic Computing, Jacksonville, Florida, 2007.
12. P. Padala, X. Zhu, M. Uysal, Z. Wang, S. Singhal, A. Merchant, K. Salem, and K. Shin. Adaptive Control of Virtualized Resources in Utility Computing Environments. Proc. European Conference on Computer Systems, Lisbon, 2007.
13. Y. Diao, J.L. Hellerstein, S. Parekh, R. Griffith, G.E. Kaiser, and D. Phung. A Control Theory Foundation for Self-Managing Computing Systems. IEEE Journal on Selected Areas in Communications, 2213-2222, 2005. (Pubitemid 41811973)
14. C. Karamanolis, M. Karlsson, and X. Zhu. Designing Controllable Computer Systems. Proc. USENIX Workshop on Hot Topics in Operating Systems, Santa Fe, New Mexico, 2005.
15. X. Zhu, D. Young, B. J. Watson, Z. Wang, J. Rolia, S. Singhal, B. McKee, C. Hyser, D. Gmach, R. Gardner, T. Christian and L. Cherkasova. 1000 Islands: Integrated Capacity and Workload Management for the Next Generation Data Center. Proc. 5th International Conference on Autonomic Computing, Chicago, 2008.
16. S. Ghanbari, G. Soundararajan, J. Chen, and C. Amza. Adaptive Learning of Metric Correlations for Temperature-Aware Database Provisioning. Proc. 4th International Conference on Autonomic Computing, Jacksonville, Florida, 2007.
17. P. Shivam, S. Babu, and J. Chase. Learning Application Models for Utility Resource Planning. Proc. 3rd International Conference on Autonomic Computing, Dublin, 2006.
18. G. Tesauro, N. K. Jong, R. Das, and M. N. Bennani. A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation. IEEE Internet Computing, 22-30, 2007.
19. M. Litoiu and G. Iszlai. Performance Model Driven QoS Guarantees and Optimization in Clouds. Proc. ACM/IEEE Symposium on Cloud Computing Challenges, 15-22, Vancouver, 2009.