Energy-efficient virtual machine provisioning mechanism in cloud computing environments

ABSTRACT

As the increasing number of modern applications and enterprises demand more and more resources in computational power, memory and disk storage, cloud data centers are consuming huge amounts of electrical energy. The aim of cloud service providers is to reduce the operational costs by minimizing energy consumption while providing competitive services to their customers. The above, can be fulfilled by trying to reduce the number of active servers, using live VM migrations and keeping the system performance in the requested levels according to SLAs. In this paper, an efficient virtual machine allocation mechanism for cloud data center environments is proposed. We first describe the virtual machine allocation policy and then we perform a series of experiments based on CloudSim [1] 3.0.3 simulator. Experimental results have shown that the proposed scheme is very efficient in terms of energy consumption and QoS (decreased SLA violations) compared to LrMmt provisioning mechanism presented in [2].

References

1. R. N. Calheiros, R. Ranjan, A. Beloglazov, C. A. F. D. Rose, and R. Buyya, "CloudSim: A toolkit for modeling and simulation of Cloud computing environments and evaluation of resource provisioning algorithms," Software: Practice and Experience, vol. 41, no. 1, pp. 23--50, 2011
2. Anton Beloglazov and Rajkumar Buyya. "Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers." Concurrency and Computation: Practice and Experience, 24(13):1397--1420, 2012
3. Barroso LA, Holzle U. The case for energy-proportional computing. Computer 2007; 40(12):33--37.
4. Fan X, Weber WD, Barroso LA. Power provisioning for a warehouse-sized computer. Proceedings of the 34th Annual International Symposium on Computer Architecture (ISCA 2007), ACM New York, NY, USA, 2007; 13--23
5. C. Clark, K. Fraser, S. Hand, J. G. Hansen, E. Jul, C. Limpet, I. Pratt, A. Warfield, "Live migration of Virtual Machines," In Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2, Berkeley, CA, USA: USENIX Association, 2005, pp.273--286.
6. Tom Guérout, Thierry Monteil, Georges Da Costa, Rodrigo Neves Calheiros, Rajkumar Buyya, Mihai Alexandru, Energy-aware simulation with DVFS, Simulation Modelling Practice and Theory, Volume 39, December 2013, Pages 76--91, ISSN 1569-190X.
7. Beloglazov, A.; Buyya, R., "Energy Efficient Allocation of Virtual Machines in Cloud Data Centers," Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on, vol., no., pp.577,578, 17--20 May 2010.
8. Buyya R, Beloglazov A, Abawajy J. Energy-efficient management of data center resources for cloud computing: a vision, architectural elements, and open challenges" in Proceedings of the 2010 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2010). Las Vegas, USA, July 2010.
9. Beloglazov, A.; Buyya, R., "Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers under Quality of Service Constraints", Parallel and Distributed Systems, IEEE Transactions on, vol. 24, no.7, pp.1366,1379, July 2013.
10. L. Minas and B. Ellison, Energy Efficiency for Information Technology: How to Reduce Power Consumption in Servers and Data Centers. Intel Press, 2009.
11. K. Park and V. Pai, "CoMon: a mostly-scalable monitoring system for PlanetLab," ACM SIGOPS Operating Systems Review, vol. 40, pp. 65--74, 2006.

Index Terms

• Computer systems organization

  • Architectures

    • Distributed architectures

  • Dependable and fault-tolerant systems and networks

• General and reference

  • Cross-computing tools and techniques

    • Performance

• Networks

  • Network performance evaluation

• Software and its engineering

  • Software notations and tools

    • Compilers

  • Software organization and properties

    • Software system structures

      • Distributed systems organizing principles