@proceedings {535, title = {Building a Smart City Service Platform in Messina with the $\#$SmartME Project}, journal = {The 32nd IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA-2018)}, year = {2018}, month = {05/2018}, address = {Pedagogical University of Cracow, Poland}, abstract = {

Some words mark an era, and "Smart City" is definitely one of these. A Smart City is an urban area where the Information and Communication Technologies (ICT) are employed to improve citizens{\textquoteright} Quality of Life (QoL) in areas such as: mobility, urban surveillance, and energy management. Throughout this paper, we present the $\#$SmartME project, which aims to create an infrastructure and an ecosystem of "smart" services by exploiting existing devices, sensors, and actuators distributed in the city of Messina. We also present the Stack4Things framework, which is the management core of the $\#$SmartME project.

}, keywords = {$\#$SmartME, Arduino, Blockchain, cloud computing, IoT, OpenData, OpenStack, Smart city, Stack4Things}, author = {Dario Bruneo and Sebastiano Chillari and Salvatore Distefano and Maurizio Giacobbe and Antonino Longo Minnolo and Francesco Longo and Giovanni Merlino and Davide Mulfari and Alfonso Panarello and Giuseppe Patan{\`e} and Antonio Puliafito and Carlo Puliafito and Marco Scarpa and Nachiket Tapas and Giancarlo Visalli} } @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 {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} } @proceedings {480, title = {The Big Bucket: An IoT Cloud Solution For Smart Waste Management in Smart Cities}, journal = {The 4th International Workshop on CLoud for IoT (CLIoT 2016)}, volume = {Advances in Service-Oriented and Cloud Computing}, year = {2016}, month = {01/2018}, pages = {43-58}, publisher = {Springer International Publishing}, address = {Vienna, Austria}, abstract = {

Research and industries are devoting a great effort in getting cities and communities smarter, thus to improve citizens{\textquoteright} Quality of Life (QoL) and paying serious attention to e-government and e-inclusion processes.\ 
This is a strategic but also very complex objective that involves both governance and citizens to address many challenges.\ 
Following this line, this paper discusses the necessity for new smart waste management systems and presents a comprehensive state of the art on the use of the Internet of Things (IoT) for smart waste recycling.\ 
In particular, we present and argue the Big Bucket IoT Cloud environment, where smart dumpsters are equipped with low-cost sensors and open source easy-to-use hardware and software. Its architectural model is discussed and compared with other existing solutions in the future perspective.

}, keywords = {cloud computing, E-government, E-inclusion, IoT, Quality of Life, Recycling Systems, smart cities, Smart Communities, Smart Waste Management}, issn = {978-3-319-72125-5}, doi = {10.1007/978-3-319-72125-5_4}, author = {Maurizio Giacobbe and Carlo Puliafito and Marco Scarpa} } @proceedings {483, title = {J2CBROKER: A Service Broker Simulation Tool For Cooperative Clouds}, journal = {10th EAI International Conference on Performance Evaluation Methodologies and Tools (Valuetools 2016)}, volume = {VALUETOOLS{\textquoteright}16 proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools on 10th EAI}, year = {2016}, month = {05/2017}, pages = {68-73}, publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)}, address = {Taormina, Italy}, abstract = {

The Internet and digital technologies are transforming our world, but existing barriers, mainly due to obsolete Information Technologies (IT), lead citizens to miss out on goods and services, enterprises and start-ups to limit their horizons, and businesses and governments to cannot fully benefit from digital tools.\ Recently, Cloud computing\ emerged as hot topic in IT, both in industrial and academic area, in order to overcame the above barriers.\ Its use in large scale distributed infrastructure, platform or software services is motivated by the possibility to promote a new economy of scale in different contexts.\ Such scenario demands timely, repeatable, and controllable methodologies for evaluation of algorithms, applications and policies before the development of Cloud services or products, especially to achieve a good compromise between several performance indicators.\ To this end, simulations-based environments\ allow to evaluate the hypothesis prior to the software development, thus reducing the risk of economic losses, scarce Quality of Service\ or Quality of Experience.\ In this paper we present and discuss a simulation-based approach for Cloud Brokerage ecosystems. More specifically, we propose the J2CBROKER\ Simulation Tool, mainly based on Java\ and JavaScript Object Notation (JSON)\ technologies.\ Its architecture, functionalities and technological choices are discussed and motivated. Moreover, we present a case of study\ to evaluate the goodness of the proposed approach.

}, keywords = {broker, cloud brokerage, cloud computing, cooperative clouds, digital single market, java, javascript object notation, json, key performance indicator, simulation tool}, issn = {978-1-63190-141-6}, doi = {10.4108/eai.25-10-2016.2266614}, url = {https://doi.org/10.4108/eai.25-10-2016.2266614}, author = {Maurizio Giacobbe and Riccardo Di Pietro and Carlo Puliafito and Marco Scarpa} } @booklet {474, title = {Smart Waste and Recycling Systems: The Big Bucket Solution}, journal = {CINI Annual Workshop on ICT for Smart Cities \& Communities (i-CiTies 2016). September 29-30. Benevento, Italy.}, year = {2016}, abstract = {

Research and industries are devoting a great effort in getting cities and communities smarter. This is a strategic but also very complex process that involves several actors to address many challenges. Following this line, in this paper, we propose a new recycling system based on smart wastes. To this end, we present the Big Bucket IoT Cloud environment where smart dumpsters are equipped with low-cost sensors and open source easy-to-use hardware and software.

}, keywords = {cloud computing, E-government, E-inclusion, IoT, smart cities, Smart Communities, Smart Waste Recycling Systems}, url = {http://www.unisannio.it/I-CiTies2016/}, author = {Maurizio Giacobbe and Carlo Puliafito and Marco Scarpa} } @proceedings {Bruneo2015797, title = {Analytical Modeling of Reactive Autonomic Management Techniques in IaaS Clouds}, journal = {Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015}, year = {2015}, note = {cited By 2; Conference of 8th IEEE International Conference on Cloud Computing, CLOUD 2015 ; Conference Date: 27 June 2015 Through 2 July 2015; Conference Code:116940}, pages = {797-804}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, address = {New York (USA)}, abstract = {

Cloud computing infrastructures provide services to a wide number of users whose behavior can deeply change at the occurrence of particular events. To correctly handle such situations a cloud infrastructure have to be reconfigured in a way that does not cause degradation in the overall performance. Otherwise, the quality of service specified in the service level agreement could be violated. To prevent such situations, the infrastructure could be organized as an autonomic system where self-adaptation and self-configuration techniques are implemented. Appropriate design choices become important in order not to fail in this goal. We propose a technique, based on a Petri net model and a specific analytical analysis approach, to represent Infrastructure-as-a-Service (IaaS) systems in the case in which the load conditions can suddenly change and reactive autonomic management techniques are applied to mitigate the consequences of the change. The model we propose is able to appropriately evaluate performance metrics in such critical situations making it suitable as a design tool for IaaS cloud systems. {\textcopyright} 2015 IEEE.

}, keywords = {Autonomic management, cloud computing, Cloud computing infrastructures, Cloud infrastructures, Iaas clouds, Industrial management, Infrastructure as a service (IaaS), Performance metrics, Petri nets, Quality of service, Resiliency, Service Level Agreements, Stochastic reward nets, Stochastic systems}, isbn = {9781467372879}, doi = {10.1109/CLOUD.2015.110}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960155425\&doi=10.1109\%2fCLOUD.2015.110\&partnerID=40\&md5=2aa09923889aea0bc667deb1d6d250d8}, author = {Dario Bruneo and Francesco Longo and Rahul Ghosh and Marco Scarpa and Antonio Puliafito and Kishor Trivedi} } @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} } @article {Bruneo20131072, title = {Workload-based software rejuvenation in cloud systems}, journal = {IEEE Transactions on Computers - IEEE Computer Society}, volume = {62}, number = {6}, year = {2013}, note = {cited By 21}, pages = {1072-1085}, abstract = {

Cloud computing is a promising paradigm able to rationalize the use of hardware resources by means of virtualization. Virtualization allows to instantiate one or more virtual machines (VMs) on top of a single physical machine managed by a virtual machine monitor (VMM). Similarly to any other software, a VMM experiences aging and failures. Software rejuvenation is a proactive fault management technique that involves terminating an application, cleaning up the system internal state, and restarting it to prevent the occurrence of future failures. In this work, we propose a technique to model and evaluate the VMM aging process and to investigate the optimal rejuvenation policy that maximizes the VMM availability under variable workload conditions. Starting from dynamic reliability theory and adopting symbolic algebraic techniques, we investigate and compare existing time-based VMM rejuvenation policies. We also propose a time-based policy that adapts the rejuvenation timer to the VMM workload condition improving the system availability. The effectiveness of the proposed modeling technique is demonstrated through a numerical example based on a case study taken from the literature. {\textcopyright} 1968-2012 IEEE.

}, keywords = {Algebraic techniques, Application programs, cloud computing, Endocrinology, Kronecker algebra, Numerical methods, phase type distributions, Proactive fault managements, Reliability theory, Software rejuvenation, System availability, Time-based Rejuvenation, Virtual machine monitors, Virtual reality}, issn = {00189340}, doi = {10.1109/TC.2013.30}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84877311601\&partnerID=40\&md5=185051c9b74e6577b5b06c39cbaf7cc7}, author = {Dario Bruneo and Salvatore Distefano and Francesco Longo and Antonio Puliafito and Marco Scarpa} } @proceedings {Bruneo20128, title = {Software rejuvenation in the cloud}, journal = {Proceedings of the 5th International Conference on Simulation Tools and Techniques (SIMUTools)}, year = {2012}, note = {cited By 0; Conference of 5th International Conference on Simulation Tools and Techniques, SIMUTools 2012 ; Conference Date: 19 March 2012 Through 23 March 2012; Conference Code:110134}, pages = {8-16}, publisher = {ICST}, address = {Desenzano del Garda, Italy, 19-23 March 2012}, abstract = {

In this paper, we investigate how software rejuvenation can be used in a Cloud environment to increase the availability of a virtualized system composed of a single virtual machine monitor (VMM) on top of which a certain number of virtual machines (VMs) can be instantiated. We start from the assumption that the aging of a VMM increases with the number of VMs it is managing, thus characterizing the problem in terms of dynamic reliability. Therefore, by identifying the age of the VMM with its reliability and based on the conservation of reliability principle, we characterize the time to failure of the VMM through continuous phase type distributions. The system availability is thus modeled by an expanded continuous time Markov chain expressed in terms of Kronecker algebra in order to face the state space explosion and to keep memory of the age reached by the VMM in case the number of the hosted VMs change. Time-based rejuvenation is taken into consideration and the optimal timer is evaluated in order to maximize the VMM availability. Copyright {\textcopyright} 2012 ICST.

}, keywords = {Availability, cloud computing, Continuous phase type distributions, Continuous time Markov chain, Continuous time systems, Endocrinology, Java programming language, Markov processes, phase type distributions, Rejuvenation, Reliability, Reliability principles, Software rejuvenation, Virtual machine monitors, Virtual reality, Virtualized environment}, isbn = {9781450315104}, doi = {10.4108/icst.simutools.2012.247772}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84922767370\&partnerID=40\&md5=a03b06eec703c94d55c0f4875f181902}, author = {Dario Bruneo and Francesco Longo and Antonio Puliafito and Marco Scarpa and Salvatore Distefano} }