@article {35, title = {Adding long-term availability, obfuscation, and encryption to multi-cloud storage systems}, journal = {Journal of Network and Computer Applications}, volume = {59}, year = {2016}, month = {01/2016}, pages = {208-218}, abstract = {

Abstract Nowadays, storage services offer a new way for Cloud providers to do business. This new trend is proved by the number of Cloud storage providers that are continuously appearing on the market. By now, using Cloud storage services is becoming a common practice for end-users. However, the current Cloud storage providers do not offer any guarantees regarding long-term availability and privacy. In fact, data stored in the Cloud could be locked-in, lost, or violated in terms of privacy. In this work, we present an innovative system that on one hand allows end-users to simultaneously rely on different Cloud storage providers in a transparent way and on the other hand to enforce long-term availability, obfuscation, and encryption. Our system is highly reliable, in fact, if a provider is not temporarily or permanently available, end-users continue accessing their data in a secure way. In addition, only the end-users have the full control of the overall security of their data and no sensitive information are disclosed to Cloud storage providers. Several experiments allow us to discuss the performance of our system compared against existing solutions.

}, keywords = {cloud computing, Long-term availability, Privacy, Reliability, Storage Clouds}, issn = {1084-8045}, doi = {10.1016/j.jnca.2014.09.021}, url = {http://www.sciencedirect.com/science/article/pii/S1084804514002288}, author = {A. Celesti and M. Fazio and M. Villari and A. Puliafito} } @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 = {

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.

}, 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} } @article {7060517, title = {Cloud4sens: a cloud-based architecture for sensor controlling and monitoring}, journal = {IEEE Communications Magazine}, volume = {53}, number = {3}, year = {2015}, month = {March}, pages = {41-47}, keywords = {cloud clients, cloud computing, cloud framework, cloud service, cloud-based architecture, Cloud4Sens, Communication standards, Computer architecture, computerised instrumentation, Data models, data-centric model, Databases, device-centric model, environmental data, extensible messaging and presence protocol, Geospatial analysis, IEEE standards, open geospatial consortium, sensing resources management, sensor control, sensor monitoring, sensor web enablement, Sensors, software architecture, Standards, SWE specifications, Temperature sensors, virtual devices, virtual sensing infrastructure, Web services, X509 certificates, XMPP}, issn = {0163-6804}, doi = {10.1109/MCOM.2015.7060517}, author = {M. Fazio and A. Puliafito} } @proceedings {27, title = {Automating the Hadoop configuration for easy setup in resilient cloud systems}, journal = {IEEE Symposium on Computers and Communication (ISCC), 2014}, volume = {Workshops}, year = {2014}, month = {June}, pages = {1{\textendash}4}, publisher = {IEEE Computer Society}, address = {Washington DC}, keywords = {cloud computing, Hadoop, HDFS, Resilient Cloud Storage}, doi = {10.1109/ISCC.2014.6912631}, author = {A. Celesti and M. Fazio and A. Puliafito and M. Villari} } @inbook {50, title = {An Integrated System for Advanced Multi-risk Management Based on Cloud for IoT}, booktitle = {Advances onto the Internet of Things}, volume = {260}, number = {Advances in Intelligent Systems and Computing}, year = {2014}, pages = {253{\textendash}269}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {

This chapter presents the Cloud computing technology as strategic solution for the deployment of IoT application and solutions. Cloud computing is a new ICT paradigm able to offer products and solutions as services. Thus, it allows the delivery of on-demand virtual resources (e.g., computational resources, storage systems, applications, data centers,...) over the Internet on a pay-for-use basis. Also, the distributed nature of Cloud computing guarantees high availability of resources dynamically adapting their allocation to specific requirements of the system. The research community together with big business companies are focusing their efforts in the adoption of Cloud for a massive interaction with the physical environment. To show a such trend, we present an on-going project, called SIGMA, which exploits Cloud technologies to acquire, integrate and compute heterogeneous data from several sensor networks for controlling and monitoring both environmental and industrial production systems. Specifically, we describe a new Cloud framework at the basis of the whole SIGMA architecture, in order to show benefits in the adoption of a such technology. The framework is compliant with the Sensor Web Enablement standard specifications and makes use of a plug-in platform to integrate heterogeneous sensing infrastructures. It allows to build abstract objects for accessing sensing devices and observations pandering to the Internet of Things needs.

}, keywords = {cloud computing, Risk management}, issn = {978-3-319-03992-3}, doi = {10.1007/978-3-319-03992-3_18}, url = {http://dx.doi.org/10.1007/978-3-319-03992-3_18}, author = {M. Fazio and A. Celesti and A. Puliafito and M. Villari}, editor = {Gaglio, Salvatore, Lo Re, Giuseppe} } @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 = {

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.

}, 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} } @proceedings {34, title = {Resource Management in Cloud Federation Using XMPP}, journal = {IEEE 13th International Symposium on Network Computing and Applications (NCA), 2014}, year = {2014}, month = {Aug}, pages = {67{\textendash}70}, publisher = {IEEE Computer Society}, address = {Washington DC}, abstract = {

This paper deals with Cloud federation issues, where Clouds are both providers and clients of virtual resource at the same time. Specifically, we have designed a solution based on a XMPP communication platform, which allows to set up federated environments and to easily manage virtual shared resources. Heterogeneous and dynamic Clouds can interact in near-real time, making available their own resources according to specific agreement policies. We are thinking to implement the proposed solution using the Hadoop framework, a well-known Cloud Map-Reduce middleware designed to offer different types of services. Here, we analyze the basic and useful elements necessary to making up federated clouds. By mean of Cloud federation, two or more Hadoop clusters can be connected in order to increase service scalability, overcoming some technical limitations of the Hadoop framework itself.

}, keywords = {cloud computing, Cloud services, federation, Hadoop, XMPP}, doi = {10.1109/NCA.2014.15}, author = {M. Fazio and A. Celesti and M. Villari and A. Puliafito} } @booklet {46, title = {Design of a Message-Oriented Middleware for Cooperating Clouds}, journal = {Advances in Service-Oriented and Cloud Computing}, volume = {393}, year = {2013}, month = {13}, pages = {25{\textendash}36}, publisher = {Springer Berlin Heidelberg}, address = {Berlin}, abstract = {Nowadays, Cloud services are not always able to promptly deal with the new emerging customers{\textquoteright} requirements. A possible solution to such a problem consists in developing a piece of middleware able to combine available services in order to address different scenarios. In this paper, we present a Message Oriented Middleware for Cloud (MOM4C) able to arrange customizable Cloud facilities by means of a flexible federation-enabled communication system. From the customer{\textquoteright}s the point of view, Cloud facilities are composed as well as a planetary system model, in which the central star is the communication system and planets are utilities (e.g., storage, computation, security, sensing, data analytics, etc). More specifically, we describe the key features of the proposed architecture and its applicability in different scenarios.}, keywords = {cloud computing, federation, message oriented middleware, planetary system model, service provisioning}, doi = {10.1007/978-3-642-45364-9_3}, url = {http://dx.doi.org/10.1007/978-3-642-45364-9_3}, author = {M. Fazio and A. Celesti and M. Villari}, editor = {Canal, Carlos, Villari, Massimo} } @article {60, title = {Virtual Machine Provisioning Through Satellite Communications In Federated Cloud Environments}, journal = {Future Generation Computer Systems}, volume = {28}, year = {2012}, month = {01/2012}, pages = {85{\textendash}93}, abstract = {

Cloud federation offers plenty of new services and business opportunities. However, many advanced services cannot be implemented in the real Cloud market due to several issues that have not been overcome yet. One of these concerns is the transfer of huge amount of data among federated Clouds. This paper aims to overcome such a limitation proposing an approach based on satellite communications. By comparing performance in data delivery on the Internet and satellite systems, it is evident that satellite technologies are enough ripe to be competitive against systems with a wired infrastructure. Thus, we propose to make use of satellite transmission to implement fast delivery of huge amount of data. Through the discussion of a use case, where a WEB TV company offers a streaming service, we show how to practically apply the proposed strategy in a real scenario, specifying the involvement of Cloud providers, Cloud users, satellite companies and end-user clients.

}, keywords = {cloud computing, Distributed Cloud service, federation, Satellite communications, Service delivery}, doi = {10.1016/j.future.2011.05.021}, url = {http://www.sciencedirect.com/science/article/pii/S0167739X11001038}, author = {A. Celesti and M. Fazio and M. Villari and A. Puliafito} }