@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 {548, title = {An Implementation Of InfluxDB For Monitoring And Analytics In Distributed IoT Environments}, journal = {Science of Electronics, Technologies of Information and Telecommunication Conference (SETIT 2018)}, year = {2018}, month = {12/2018}, publisher = {Springer}, address = {Hammamet, Tunisia}, keywords = {cloud computing, InfluxDB, Internet of Things, smart environments, time series database}, author = {Maurizio Giacobbe and Chakib Chaouch and Marco Scarpa and Antonio Puliafito} } @proceedings {505, title = {A Context-aware Strategy To Properly Use IoT-Cloud Services}, journal = {2017 IEEE International Conference on Smart Computing (SMARTCOMP)}, year = {2017}, month = {05/2017}, pages = {1-6}, publisher = {IEEE}, address = {Hong Kong - China}, abstract = {

Nowadays, we can talk about the Internet of Things (IoT) and Cloud computing union to indicate a new generation of distributed system.

An IoT-Cloud system mainly consists of a set of smart objects which are interconnected through the Internet with a remote Cloud infrastructure, platform, or software.

It allows to achieve new benefits in several contexts, such as smart cities and industrial businesses.

In this paper we propose a context-aware strategy focused on the correct use of the IoT-Cloud services. In particular, a use case driven scenario and a three-step algorithm to define the strategy are presented and discussed.

}, keywords = {Big Data, cloud computing, context-aware systems, Internet of Things, multi criteria decision making, smart cities, smart environments, smart factories}, doi = {10.1109/SMARTCOMP.2017.7946976}, author = {Maurizio Giacobbe and Antonio Puliafito and Riccardo Di Pietro and Marco Scarpa} } @proceedings {485, title = {The ESSB System: A Novel Solution To Improve Comfort And Sustainability In Smart Office Environments}, journal = {The14th IEEE International Conference on Networking, Sensing and Control (ICNSC 2017)}, year = {2017}, month = {05/2017}, pages = {311-316}, publisher = {IEEE}, address = {Calabria, Italy}, abstract = {

Getting cities and communities smarter is a strategic but also very complex process that involves several actors (e.g., governments, industries, scientific researchers) and addresses many challenges. Among these, energy efficiency and cost-saving are indispensable. Following this line, in this paper we propose a novel energy-aware management system, we name Energy Saving Smart Building (ESSB), for smart environments. More specifically, we present its experimental use at University of Messina\ in order to optimize the use of all the electrical equipments. The results are the reduction of energy consumptions and costs improving comfort and sustainability in smart office environments.\ 

}, keywords = {energy cost-saving, Energy Efficiency, Energy-aware systems, Internet of Things, smart buildings, smart cities, smart office, sustainability.}, author = {Maurizio Giacobbe and Giuseppe Pellegrino and Marco Scarpa and Antonio Puliafito} } @article {Longo20152506, title = {Variable operating conditions in distributed systems: Modeling and evaluation}, journal = {Concurrency Computation Practice and Experience}, volume = {27}, number = {10}, year = {2015}, note = {cited By 1}, pages = {2506-2530}, publisher = {John Wiley and Sons Ltd}, abstract = {

SummaryPerformance and dependability evaluation plays a key role in the design of a broad range of systems, especially when strict requirements need to be met. This is particularly challenging in distributed contexts, where several components may interact among themselves by influencing each other. In this paper, we present an analytical method that allows the study of a class of systems where different operating conditions alternate by changing the stochastic behavior of the system components but still preserving the continuity of the performance and dependability quantities to investigate. The proposed solution technique, based on phase type distributions, Kronecker algebra, and ad-hoc fitting algorithms, can be applied for the analytical evaluation of a wide class of distributed systems. Examples are provided to show the usefulness and the applicability of the methodology, characterizing and investigating different performance and dependability aspects of three distributed computing systems, that is, a connection-oriented network, an Internet of Things application, and an Infrastructure-as-a-Service Cloud. Copyright {\textcopyright} 2014 John Wiley \& Sons, Ltd.

}, keywords = {Algebra, cloud computing, Conservative systems, Dependability, Distributed computer systems, Internet, Internet of Things, Kronecker algebra, Markov processes, Non-Markovian, Performance, phase type distributions, Stochastic systems}, issn = {15320626}, doi = {10.1002/cpe.3419}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84932604392\&partnerID=40\&md5=b8f197a50fa177e85f0c1ac2a93fe392}, author = {Francesco Longo and Dario Bruneo and Salvatore Distefano and Marco Scarpa} }