@proceedings {Bruneo20133,
	title = {Smart data centers for green clouds},
	journal = {Proceedings of the 18th IEEE International Symposium on Computers and Communications (ISCC)},
	year = {2013},
	note = {cited By 3; Conference of 18th IEEE Symposium on Computers and Communications, ISCC 2013 ; Conference Date: 7 July 2013 Through 10 July 2013; Conference Code:103472},
	pages = {3-8},
	publisher = {IEEE Computer Society},
	address = {Split, Croatia, 7-10 July 2013},
	abstract = {<p>The key idea behind this work is the development of smart data centers able to monitor, control, and manage themselves through advanced analytics and management policies, collecting and analyzing real time data on their behavior. They also make adjustments to interdependent components across the physical infrastructure, in order to address changing business and technology needs. To this aim, we have designed and implemented a new framework for supporting green computing in the management of Cloud data centers. Through heterogeneous sensing devices deployed in the system, the framework is able to know the working state of the data center and to activate specific energy saving policies. We have evaluated the proposed solution through experiments on a real testbed implemented at the University of Messina. Experiments show interesting results thus proving real benefits deriving from the adoption of the proposed framework. {\textcopyright} 2013 IEEE.</p>
},
	keywords = {Cloud data centers, Clouds, Data centers, Experiments, Green Computing, Heterogeneous devices, Heterogeneous sensing, Inter-dependent components, Management policy, Physical addresses, sensing, Sensors},
	isbn = {9781479937554},
	issn = {15301346},
	doi = {10.1109/ISCC.2013.6754914},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84897446370\&partnerID=40\&md5=72bf952928d560e009666d68ce6b0fc8},
	author = {Dario Bruneo and Maria Fazio and Francesco Longo and Antonio Puliafito}
}
@proceedings {Bruneo2011,
	title = {Evaluating energy consumption in a cloud infrastructure},
	journal = {2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)},
	year = {2011},
	note = {cited By 4; Conference of 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2011 ; Conference Date: 20 June 2011 Through 23 June 2011; Conference Code:86401},
	publisher = {IEEE Computer Society},
	address = {Lucca, Italy, 20-23 June 2011},
	abstract = {<p>Cloud computing is a challenging technology that promises to strongly modify the way computing and storage resources will be accessed in the near future. Clouds may demand huge amount of energy if adequate management policies are not put in place. Optimization strategies are needed in order to allocate, migrate, consolidate virtual machines and manage the switch on/switch off period of a data center. In this paper, we present a modeling approach based on Stochastic reward nets to investigate the more convenient strategies to manage a federation of Clouds, having in mind the final goal to reduce the overall energy consumption. Several policies are presented and their impact is evaluated, thus contributing to a rational and efficient adoption of the Cloud computing paradigm. {\textcopyright} 2011 IEEE.</p>
},
	keywords = {cloud computing, Clouds, computer systems, Computing paradigm, Data centers, Energy utilization, Management policy, Modeling approach, Multimedia systems, Optimization strategy, Performance evaluation, Quality control, Quality of service, Stochastic reward nets, Stochastic systems, Storage resources, Switch-on, virtual machines, Wireless networks},
	isbn = {9781457703515},
	doi = {10.1109/WoWMoM.2011.5986479},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80052709389\&partnerID=40\&md5=9d12783598805d3b668813d0d5b70057},
	author = {Dario Bruneo and Francesco Longo and Antonio Puliafito}
}
