@proceedings {7543751,
	title = {New trends in Biotechnology: The point on NGS Cloud computing solutions},
	journal = {2016 IEEE Symposium on Computers and Communication (ISCC)},
	year = {2016},
	month = {June},
	pages = {267-270},
	abstract = {<p class="rtejustify">The advent of Cloud computing is changing the way of conceiving information and communication systems in different application fields including Biotechnology. In this context, an emerging research field is Next-Generation Sequencing (NGS) that includes several recent technologies allowing sequencing DNA and that have revolutionized the study of genomics and molecular biology. These cutting-edge sequencing systems produce big datasets that require significant scalable computing resources. In this paper, we analyse and classify the major current NGS Cloud-based solutions adopted in scientific laboratories according to different Cloud service levels. Moreover, by means of a taxonomy, we discuss the challenges and advantages of possible future NGS Cloud-based systems.</p>
},
	keywords = {Bioinformatics, biotechnology, cloud computing, DNA, Genomics, IaaS, ngs, PaaS, Proteins, SaaS, Sequential analysis},
	doi = {10.1109/ISCC.2016.7543751},
	author = {A. Celesti and M. Fazio and F. Celesti_ and G. Sannino and S. Campo and M. Villari}
}
@proceedings {39,
	title = {The Need of a Hybrid Storage Approach for IoT in PaaS Cloud Federation},
	journal = {Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops},
	year = {2014},
	month = {May},
	pages = {779{\textendash}784},
	publisher = {IEEE COMPUTER SOC},
	address = {Washington, DC},
	abstract = {<p>Monitoring activities over many different types of sensors are very challenging to support advanced services for Internet of Things (IoT) and its future. However, one of the major issues is the explosion of the amount of heterogeneous information that has to be stored and processed, thus causing the well known Big Data problem. Some Cloud strategies have been investigated to offer IoT-oriented services, but they do not specifically address solutions for Big Data management. In this paper, we present a two-layer architecture based on a hybrid storage system able to support a Platform as a Service (PaaS) federated Cloud scenario. The proposed architecture combines the benefits of both storage approaches. In particular, it allows us on one hand to extend SQL-like legacy systems, and on the other hand to manage Big Data through an XML-like, non-SQL distributed storage system according to a Cloud federation approach.</p>
},
	keywords = {Big Data, cloud computing, federation, IoT, monitoring, PaaS, sensor network},
	doi = {10.1109/WAINA.2014.162},
	author = {M. Fazio and A. Celesti and M. Villari and A. Puliafito}
}
