Exploiting VM migration for the automated power and performance management of green cloud computing systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7396 LNCS, Issue , 2012, Pages 81-92

  Guazzone, Marco ^a   Anglano, Cosimo ^a   Canonico, Massimo ^a  

^a UNIVERSITY OF EASTERN PIEDMONT   (Italy)

Author keywords

Cloud computing; Green computing; SLA

Indexed keywords

COMPUTING INFRASTRUCTURES; COMPUTING SYSTEM; EMERGING COMPUTING PARADIGM; GREEN COMPUTING; INFRASTRUCTURE COSTS; PERFORMANCE MANAGEMENT; PRIOR KNOWLEDGE; SLA; STATIC APPROACH; TIME VARYING;

CLOUD COMPUTING; ENERGY EFFICIENCY; ENERGY UTILIZATION; PROFITABILITY; QUALITY OF SERVICE;

COMPUTER SYSTEMS;

EID: 84867877014     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33645-4_8     Document Type: Conference Paper

References (22)

1. Weiss, A.: Computing in the clouds. netWorker 11(4), 16-25 (2007)
2. ENERGY STAR Program: Report to congress on server and data center energy efficiency. Technical report, U.S. EPA (August 2007)
3. Guazzone, M., et al.: Energy-efficient resource management for cloud computing infrastructures. In: Proc. of the 3rd IEEE Int. Conf. on Cloud Computing Technology and Science (CloudCom 2011) (2011)
4. Banks, J., et al.: Discrete-Event System Simulation, 5th edn. Prentice Hall (2010)
5. Guazzone, M., et al.: Exploiting VM migration for the automated power and performance management of green cloud computing systems. Technical Report TR-INF-2012-04-02-UNIPMN, University of Piemonte Orientale (April 2012)
6. Lee, J., et al. (eds.): Mixed Integer Nonlinear Programming. The IMA Volumes in Mathematics and its Applications, vol. 154. Springer Science+Business Media, LLC (2012)
7. Jeroslow, R.: There cannot be any algorithm for integer programming with quadratic constraints. Oper. Res. 21(1), 221-224 (1973)
8. Yang, L.T., et al.: Cross-platform performance prediction of parallel applications using partial execution. In: Proc. of the 2005 ACM/IEEE Conference on Supercomputing, SC 2005 (2005)
9. Wood, T., et al.: Profiling and Modeling Resource Usage of Virtualized Applications. In: Issarny, V., Schantz, R. (eds.) Middleware 2008. LNCS, vol. 5346, pp. 366-387. Springer, Heidelberg (2008)
10. Beloglazov, A., et al.: A taxonomy and survey of energy-efficient data centers and cloud computing systems. In: Zelkowitz, M.V. (ed.) Advances in Computers, vol. 82, pp. 47-111. Elsevier (2011)
11. Fan, X., et al.: Power provisioning for a warehouse-sized computer. In: Proc. of the 34th Int. Symp. on Computer Architecture (ISCA 2007), pp. 13-23 (2007)
12. Rivoire, S., et al.: A comparison of high-level full-system power models. In: Proc. of the 2008 USENIX Conf. on Power Aware Computing and Systems (HotPower 2008), pp. 1-5 (2008)
13. Standard Performance Evaluation Corporation: SPECpower-ssj2008 benchmark, http://www.spec.org/power-ssj2008
14. Le-Ngoc, T., et al.: A Pareto-modulated Poisson process (PMPP) model for long-range dependent traffic. Comput. Comm. 23(2), 123-132 (2000)
15. Fischer, W., et al.: The Markov-modulated Poisson Process (MMPP) cookbook. Perform. Eval. 18(2), 149-171 (1993)
16. Mi, N., et al.: Injecting realistic burstiness to a traditional client-server benchmark. In: Proc. of the 6th IEEE Int. Conf. on Autonomic Computing (ICAC 2009), pp. 149-158 (2009)
17. Beloglazov, A., et al.: Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers. Concurrency Comput. Pract. Ex. (accepted for publication)
18. Gandhi, A., et al.: Minimizing data center SLA violations and power consumption via hybrid resource provisioning. In: Proc. of the 2nd Int. Green Computing Conf., IGCC 2010 (2011)
19. Kusic, D., et al.: Combined power and performance management of virtualized computing environments serving session-based workloads. IEEE Trans. on Netw. and Serv.Manag. 8(3), 245-258 (2011)
20. Camacho, E.F., et al.: Model Predictive Control, 2nd edn. Springer (2004)
21. Xiong, P., et al.: Economical and robust provisioning of n-tier cloud workloads: A multi-level control approach. In: Proc. of the 31st Int. Conf. on Distributed Computing Systems (ICDCS 2011), pp. 571-580 (2011)
22. Wang, X., et al.: Coordinating power control and performance management for virtualized server clusters. IEEE Trans. Parallel Distrib. Syst. 22(2), 245-259 (2011)