@proceedings {7543733,
	title = {Enriched E-R model to design hybrid database for big data solutions},
	journal = {2016 IEEE Symposium on Computers and Communication (ISCC)},
	year = {2016},
	month = {06/2016},
	pages = {163-166},
	publisher = {IEEE},
	address = {Messina, Italy},
	abstract = {<p class="rtejustify">Advances in database technologies are moving the attention of data managers from well known structured relational databases (SQL-Like DBs) towards NoSQL approaches, especially to address big data issues. However, changing technologies in consolidated data management system is hard and requires great investments. Deploying hybrid SQL-NoSQL approaches could be a good solution to speed up the transition in many domains and information systems, but a formal data model to design hybrid databases is necessary. This paper presents a new data model aimed at solving this issue. Starting from the well known E-R model, we introduce some additional components to identify data and {\textquotedblleft}big data{\textquotedblright} in the system, in order to drive the implementation of SQL-like solutions to manage data, and NoSQL solutions to manage big data. The paper also discusses a Hospital Information System use case, to clearly show how the proposed enriched E-R model can be successfully adopted.</p>
},
	keywords = {Big Data, Data models, Databases, Hospitals, Medical diagnostic imaging, NoSQL, Object oriented modeling, SQL-like, Unified modeling language},
	doi = {10.1109/ISCC.2016.7543733},
	author = {M. Villari and A. Celesti and M. Giacobbe and M. Fazio}
}
@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}
}
@booklet {47,
	title = {Data Reliability In Multi-provider Cloud Storage Service With RRNS},
	journal = {Advances in Service-Oriented and Cloud Computing},
	volume = {393},
	year = {2013},
	month = {13},
	pages = {83{\textendash}93},
	publisher = {Springer - Verlag Berlin Heidelberg},
	address = {Berlin},
	abstract = {Nowadays, more and more Cloud storage providers are appearing on the market. Nevertheless, data availability and confidentiality represent critical issues considering Cloud computing. This paper discusses an approach that on one hand enables customers to use at the same time different Cloud storage providers, and that on the other hand guarantees both data redundancy and obfuscation. According to our approach, files are fragmented and stored in different Cloud storage providers by means of the Redundant Residue Number System (RRNS). Besides providing us data redundancy, RRNS allows us to preserve the data confidentiality by means of an obfuscation-base strategy spreading metadata over different cloud providers. In addition, our approach allows a customer to retrieve his/her files even if a cloud storage provider is not available anymore. Experiments highlight the factors that have to be considered to configure the system according to the customer{\textquoteright}s requirements.},
	keywords = {Big Data, cloud computing, Confidentiality, Reliability, Storage},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-45364-9_8},
	author = {M. Villari and A. Celesti and F. Tusa and A. Puliafito}
}
