@proceedings {348,
	title = {A Sustainable Energy-Aware Resource Management Strategy for IoT Cloud Federation},
	journal = {The first IEEE International Symposium on Systems Engineering (ISSE)},
	volume = {IEEE First International Symposium on Systems Engineering 2015 Proceedings},
	year = {2015},
	month = {09/2015},
	pages = {170-175},
	publisher = {IEEE Computer Society},
	address = {Roma, Italy},
	abstract = {<p class="rtejustify">The advent of both Cloud computing and Internet of Things (IoT) is changing the way to conceive distributed systems. Nowadays, we can talk about IoT Cloud to indicate a new type of distributed system consisting of a set of smart IoT devices or sensors interconnected with a remote Cloud infrastructure, platform, or software. Energy sustainability in IoT Cloud providers offers new tempting business opportunities for organizations, but at the same time it raises new challenges. In this paper, a flexible IoT Cloud federation energy management strategy is presented for optimizing the allocation of geographically localized smart sensors. We define the concept of IoT Cloud Federation as a mesh of IoT Cloud providers that are interconnected to provide a universal decentralized sensing and actuating environment where everything is driven by constraints and agreements in a ubiquitous infrastructure.\&nbsp;In particular, a dynamic algorithm able to improve energy sustainability in a federated IoT Cloud ecosystem is discussed. In addition, we analyze a use-case driven strategy that allows both IoT Cloud providers and brokers to determine the paths to reach possible destination IoT devices in which computational resources should be dynamically migrated in order to push down the energy consumption due to IoT distributed applications.</p>
},
	keywords = {cloud computing, Energy Efficiency, Energy Sustainability, federation, Green Computing, Internet of Things, Virtual Sensors},
	issn = {978-1-4799-1919-2},
	author = {Maurizio Giacobbe and Antonio Celesti and Maria Fazio and Massimo Villari and Antonio Puliafito}
}
@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}
}
