Cloud computing provides on-demand computing and storage services with high performance and high scalability. However, the rising energy consumption of cloud data centers has become a prominent problem. In this paper, we first introduce an energy-aware framework for tas... View more
Pedram, M.. Energy-efficient datacenters.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2012; 31 (10): 1465-1484
Koomey, J.. Growth in data center electricity use 2005 to 2010.
A Report by Analytical Press. 2011
Sampaio, A. M., Barbosa, J. G.. Towards high-available and energy-efficient virtual computing environments in the cloud.
Future Generation Computer Systems. 2014; 40: 30-43
Deng, Z., Zeng, G., He, Q., Zhong, Y., Wang, W.. Using priced timed automaton to analyse the energy consumption in cloud computing environment.
Cluster Computing. 2014; 17 (4): 1295-1307
Tian, Y., Lin, C., Li, K.. Managing performance and power consumption tradeoff for multiple heterogeneous servers in cloud computing.
Cluster Computing. 2014; 17 (3): 943-955
Lee, H. M., Jeong, Y.-S., Jang, H. J.. Performance analysis based resource allocation for green cloud computing.
The Journal of Supercomputing. 2014; 69 (3): 1013-1026
Horri, A., Mozafari, M. S., Dastghaibyfard, G.. Novel resource allocation algorithms to performance and energy efficiency in cloud computing.
Journal of Supercomputing. 2014; 69 (3): 1445-1461
Maheswaran, M., Ali, S., Siegel, H. J., Hensgen, D., Freund, R. F.. Dynamic mapping of a class of independent tasks onto heterogeneous computing systems.
Journal of Parallel & Distributed Computing. 1999; 59 (2): 107-131
Priya, S. M., Subramani, B.. A new approach for load balancing cloud computing.
International Journal of Engineering and Computer Science. 2013; 2 (5): 1636-1640