An Approach for Simulation and Evaluation in Reducing Energy Consumption in Virtualized Computing Environments based on Colored Petri Nets

• Mauro G. Albuquerque UFC
• Denisângelo de M. Rabelo UFC
• José Marques Soares UFC

Abstract

This paper is contextualized in the modeling and simulation strategies for reducing energy consumption in virtualized computing environments by migration and consolidation of virtual machines. To demonstrate the scalability that can be offered by a Colored Petri net in that context, was modeled an algorithm was implemented and evaluated in a real testbed. Simulated results were compared to the testbed experiments, and presented similar results. Simulations with larger numbers of machines showed that the results remain consistent, allowing you to check the scalability provided by the simulation environment.

References

Anselmi, J., & Verloop, I. M. (2011). Energy-aware capacity scaling in virtualized environments with performance guarantees. Performance Evaluation, 68(11), 1207-1221.

Ardagna, D., Panicucci, B., Trubian, M., & Zhang, L. (2012). Energy-aware autonomic resource allocation in multitier virtualized environments. Services Computing, IEEE Transactions on, 5(1), 2-19.

Beloglazov, A. (2013). Energy-Efficient Management of Virtual Machines in Data Centers for Cloud Computing.

Casalicchio, E., & Silvestri, L. (2012). Mechanisms for SLA provisioning in Cloud-based service providers. Computer Networks.

Chaisiri, S., Lee, B. S., & Niyato, D. (2012). Optimization of resource provisioning cost in cloud computing. Services Computing, IEEE Transactions on, 5(2), 164-177.

Dietrich, Jay and Schmidt Roger, (2007). O Datacenter verde. [link], Abril.

Jensen, K., & Kristensen, L. M. (2009). Coloured Petri Nets,Modeling and Validation of Concurrent Systems. Springer.

Kansal, N. J., & Chana, I. (2012). Cloud Load Balancing Techniques: A Step Towards Green Computing. IJCSI International Journal of Computer Science, (9), 1.

Katsaros, G., Subirats, J., Oriol Fitó, J., Guitart, J., Gilet, P., & Espling, D. (2012). A service framework for energy-aware monitoring and VM management in Clouds. Future Generation Computer Systems.

Magalhães, D.M.V (2012).Uma estratégia de Migração Dinâmica de Máquinas Virtuais para Economia de energia em Ambientes Computacionais Virtualizados.111 f.Dissertação (Mestrado em Engenharia de Teleinformática) – Departamento de Engenharia Teleinformática, Universidade federal do Ceará, Ceará. Disponível em [link]

Masanet, E. R., Brown, R. E., Shehabi, A., Koomey, J. G., & Nordman, B. (2011). Estimating the energy use and efficiency potential of US data centers. Proceedings of the IEEE, 99(8), 1440-1453.

Shenai, S. (2012). Survey on Scheduling Issues in Cloud Computing. Procedia Engineering, 38, 2881-2888.

Shuja, J., Madani, S. A., Bilal, K., Hayat, K., Khan, S. U., & Sarwar, S. (2012). Energy-efficient data centers. Computing, 94(12), 973-994.

Tools, C. P. N. (2009). Computer tool for coloured petri nets, [link]

Vasić, N., Novaković, D., Miučin, S., Kostić, D., & Bianchini, R. (2012, March). Dejavu: accelerating resource allocation in virtualized environments. In Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems (pp. 423-436). ACM.