@proceedings {161,
	title = {Costs of a Federated and Hybrid Cloud Environment Aimed at MapReduce Video Transcoding},
	journal = {2015 IEEE Symposium on Computers and Communication (ISCC), Larnaca Cyprus},
	year = {2015},
	month = {2015},
	pages = {258-263},
	publisher = {IEEE Computer Society},
	address = {Larnaca, Cyprus},
	abstract = {<pre>
In this paper we investigate the applicability of the federation among several Cloud platform, demonstrating that a federated environment provides evident benefits despite the costs for the <u>setup</u> and <u>maintainance</u> of the federation itself. Also, we propose a new solution able to manage resource allocation in federated Clouds where resource requests occur in a dynamic way. We adopt such a solution to <u>setup</u> distributed <u>Hadoop</u> nodes of virtual clusters for the parallel <u>MapReduce</u> processing of large data sets. To increase their capabilities, Cloud Providers establish a federation relationship, making the <u>Hadoop</u>-based Cloud platforms much more performing than in the isolate case, adding a further level of <u>parallelization</u> in service provisioning. The results <u>analyzed</u> in the <u>referece</u> use case, that is a video transcoding using the <u>MapReduce</u> paradigm in a federated fashion, show how the federation costs in terms of delays and overhead are low in comparison with the service provisioning costs, and also highlight how federation makes the offered Cloud service more streamlined and fast. </pre>
},
	keywords = {Apache Hadoop, Big Data, CLEVER, cloud computing, HDFS, Horizontal Federation, IEEE P2302, MapReduce},
	doi = {10.1109/ISCC.2015.7405525},
	url = {http://ieeexplore.ieee.org/xpl/login.jsp?tp=\&arnumber=7405525\&url=http\%3A\%2F\%2Fieeexplore.ieee.org\%2Fxpls\%2Fabs_all.jsp\%3Farnumber\%3D7405525},
	author = {Alfonso Panarello and Maria Fazio and Antonio Celesti and Massimo Villari and Antonio Puliafito}
}
