@booklet {638, title = {Arancino.cc(TM): an open hardware platform for urban regeneration}, year = {In Press}, keywords = {Internet of Things, scientific data management, smartcity, smartme.io, Sustainability, urban metabolism}, url = {https://lnkd.in/dxKRrum}, author = {Maurizio Giacobbe and Francesco Alessi and Angelo Zaia and Antonio Puliafito} } @article {533, title = {An approach to implement the {\textquotedblleft}Smart Office{\textquotedblright} idea: the $\#$SmartMe Energy system}, journal = { Journal of Ambient Intelligence and Humanized Computing}, year = {2018}, month = {05/2018}, pages = {1-19}, abstract = {

Getting cities and communities smarter means to use\ Information and Communication Technology (ICT)\ to transform their {\textquotedblleft}metabolism{\textquotedblright} in order to offer sustainable services for people. This mission is a strategic but also very complex process that involves worldwide stakeholders (i.e., governments, entities, businesses and citizens), areas and infrastructures (e.g., buildings, homes, offices, urban parks, industrial plants). As part of this process, balancing sustainability and comfort objectives with energy efficiency and cost-saving requirements is a challenge. The\ Internet of Things (IoT)\ paradigm can help this process from the collection to the management of large amount of data. Generally, the conventional notion of sustainability is related to three main aspects, i.e., environmental, economic and social. If protection and resource conservation are typically environmental objectives, at the same time prosperity and continuity in urban contexts are two economical goals. Social well-being and equity complete the characterization of sustainability. Following this approach, in this paper we present and discuss the\ $\#$SmartMe Energy\ system, implemented at the\ University of Messinaas part of the $\#$SmartMe crowdfunding project. It allows employees to optimize the use of all the electrical equipments. The result is the reduction of energy consumptions and costs also improving sustainability and comfort inside offices, thus becoming {\textquotedblleft}smart offices{\textquotedblright}.

}, keywords = {Energy-aware systems, Internet of Things, smart buildings, Smart offices, SmartME, Sustainability}, issn = {1868-5145}, doi = {10.1007/s12652-018-0809-0}, url = {https://link.springer.com/article/10.1007\%2Fs12652-018-0809-0}, author = {Maurizio Giacobbe and Giuseppe Pellegrino and Marco Scarpa and Antonio Puliafito} } @proceedings {486, title = {An Energy-Aware Brokering Algorithm To Improve Sustainability In Community Cloud}, journal = {Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2017)}, volume = {1}, year = {2017}, month = {04/2017}, pages = {166-173}, publisher = {Institute for Systems and Technologies of Information, Control and Communication (INSTICC)}, address = {Porto, Portugal}, abstract = {

Cloud computing is a paradigm for large scale distributed infrastructures, platforms or software services which represents a hot topic in Information Technology (IT) recently in both industrial and academic areas. Its use is motivated by the possibility to promote a new economy of scale in different contexts. Along with the well-known public, private and hybrid Cloud models, the Community Cloud is an emerging concept based on a deployment model in which a Cloud infrastructure allows a specific community of consumers to share interests, goals and responsibilities. It can be owned and managed by the community, by a third party, or a combination of them. In such scenario, new low-carbon strategies at Cloud sites are necessary to allow those latter to reduce the consumption in presence of a massive exploitation of IT services. Therefore, balancing performances with both sustainability and cost saving concepts is a challenge. In this paper, we present a low carbon strategy designed to make the best choice in resources allocation, based on sustainability, availability and costs. The proposed energy-aware Brokering Algorithm (eBA) allows to push down carbon dioxide emissions through the Community Cloud ecosystem, by running instances at the most convenient sites.

}, keywords = {cloud computing, Community Cloud, Energy-aware Brokering, Green Cloud, Low Carbon, Resource allocation, Sustainability, Virtualization}, issn = {978-989-758-241-7}, doi = {10.5220/0006300201660173}, url = {http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=8XfUdAkq8Pk=\&t=1}, author = {Maurizio Giacobbe and Marco Scarpa and Riccardo Di Pietro and Antonio Puliafito} }