@proceedings {7092964,
	title = {How to Enhance Cloud Architectures to Enable Cross-Federation: Towards Interoperable Storage Providers},
	journal = { IEEE International Conference on Cloud Engineering (IC2E), Tempe, AZ, USA},
	year = {2015},
	month = {March},
	pages = {480-486},
	publisher = {IEEE Computer Society},
	address = {Washington D.C.},
	keywords = {Big Data, Big Data storage, CLEVER, CLEVER message oriented middleware, cloud architectures, cloud computing, cloud storage market, cross-federation, Ecosystems, federated cloud ecosystem, federation, Hadoop, Hadoop distribute file system, HDFS, inter-domain communication management, interoperable storage providers, Message systems, middleware, MOM, Protocols, public domain software, Resource management, Servers, small-medium cloud storage providers, Storage, storage management, XML, XMPP},
	doi = {10.1109/IC2E.2015.80},
	url = {http://conferences.computer.org/IC2E/2015/index.htm},
	author = {Maria Fazio and Antonio Celesti and Massimo Villari and Antonio 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}
}
@article {43,
	title = {Evaluating A File Fragmentation System For Multi-provider Cloud Storage},
	journal = {SCALABLE COMPUTING. PRACTICE AND EXPERIENCE},
	volume = {14},
	year = {2013},
	pages = {265{\textendash}277},
	abstract = {<p>Currently, storage services represent a new way to do business in Cloud computing. This new trend is proved by the number of Cloud storage providers that are appearing on the market. In this work, we present an innovative approach useful for using different Cloud storage providers in a transparent way, avoiding both data lock-in and possible data privacy violation that can be caused by providers themselves. More specifically, we propose an approach enabling Cloud customers to rely on many Cloud storage providers. Differently from other solutions, with our approach only the customers have the full control of their data, and in addition, if a provider suddenly disappears and/or it is not available anymore, the customers will be able to continue accessing their data, reconstructing them from data fragments replicated in other Cloud storage providers. The paper shows how such an approach works. In particular, experiments, besides proving the goodness of our approach, also provide several guidelines regarding how to properly configure software systems in order to meet the customer{\textquoteright}s requirements (in terms of both QoS and costs).</p>
},
	keywords = {Big Data, cloud computing, Confidentiality., Reliability, Storage},
	doi = {10.12694/scpe.v14i4.932},
	url = {http://www.scpe.org/index.php/scpe/article/view/932/0},
	author = {Massimo Villari and Antonio Celesti and Maria Fazio and Antonio Puliafito}
}
