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consumption from 9.13 kW/h with the trivial approach to 4.9 kW/h with an
increase of less than 22% in the execution time.
As future work, we intend to investigate formal models for power-aware re-
source allocation in Cloud Computing Systems and propose extensions that take
more parameters into consideration.
Acknowledgment. This work is partially supported by FAPDF/Brazil and
CNPq/Brazil.
References
[1] Beloglazov, A., et al.: A taxonomy and survey of energy-ecient data centers and
cloud computing systems. Advances in Computers 82, 49 (2010)
[2] Buyya, R., et al.: Cloud computing and emerging it platforms: Vision, hype, and
reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25,
599-616 (2009)
[3] Calheiros, R.N., et al.: Cloudsim: a toolkit for modeling and simulation of cloud
computing environments and evaluation of resource provisioning algorithms. Soft-
ware: Practice and Experience 41(1), 23-50 (2011)
[4] Chen, Y., Yeh, H.: An implementation of the multiagent system for market-based
cloud resource allocation. J. Computing 2(11), 27-33 (2010)
[5] Das, R., et al.: Autonomic multi-agent management of power and performance in
data centers. In: AAMAS, pp. 107-114 (2008)
[6] Ejarque, J., Sirvent, R., Badia, R.M.: A multi-agent approach for semantic re-
source allocation. In: CloudCom, pp. 335-342 (December 2010)
[7] Ferreto, T.C., et al.: Server consolidation with migration control for virtualized
data centers. Future Gener. Comput. Syst. 27(8), 1027-1034 (2011)
[8] Fan, X., Weber, W., Barroso, L.A.: Power provisioning for a warehouse-sized com-
puter. In: ISCA, pp. 13-23. ACM (2007)
[9] Ferreira, A., et al.: Energy-aware design of service-based applications. In: ISOCC,
pp. 99-114 (2009)
[10] Hayes, B.: Cloud computing. Commun. ACM 51, 9-11 (2008)
[11] Hoelzle, U., Barroso, L.A.: The Datacenter as a Computer: An Introduction to
the Design of Warehouse-Scale Machines. M. C. Pub. (2009)
[12] Kim, K.H., et al.: Sla-based scheduling of bag-of-tasks applications on power-aware
cluster systems. IEICE Trans. on Inf. Sys. E93-D(12), 3194-3201 (2010)
[13] Kipp, A., Jiang, T., Fugini, M., Salomie, I.: Layered green performance indicators.
Future Gener. Comput. Syst. 28(2), 478-489 (2012)
[14] Lee, Y.C., Zomaya, A.Y.: Energy ecient utilization of resources in cloud com-
puting systems. The Journal of Super Computing, 1-13 (2010)
[15] Lefurgy, C., Wang, X., Ware, M.: Server-level power control. In: Fourth Autonomic
Computing. IEEE Computer Society (2007)
[16] Shi, Y., Jiang, X., Ye, K.: An energy-ecient scheme for cloud resource provision-
ing based on cloudsim. In: IEEE ICCC, pp. 595-599 (2011)
[17] Vaquero, L.M., et al.: A break in the clouds: towards a cloud definition. SIGCOMM
Comput. Commun. Rev. 39, 50-55 (2008)
[18] Zhang, Q., Gürses, E., Boutaba, R., Xiao, J.: Dynamic resource allocation for spot
markets in clouds. In: Hot-ICE 2011, pp. 1-6 (2011)
 
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