@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} } @article {Dautov20181475, title = {Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms}, journal = {Software - Practice and Experience - John Wiley \& Sons, Ltd.}, volume = {48}, number = {8}, year = {2018}, note = {cited By 0}, pages = {1475-1492}, publisher = {John Wiley and Sons Ltd}, abstract = {

Recent technological advances led to the rapid and uncontrolled proliferation of intelligent surveillance systems (ISSs), serving to supervise urban areas. Driven by pressing public safety and security requirements, modern cities are being transformed into tangled cyber-physical environments, consisting of numerous heterogeneous ISSs under different administrative domains with low or no capabilities for reuse and interaction. This isolated pattern renders itself unsustainable in city-wide scenarios that typically require to aggregate, manage, and process multiple video streams continuously generated by distributed ISS sources. A coordinated approach is therefore required to enable an interoperable ISS for metropolitan areas, facilitating technological sustainability to prevent network bandwidth saturation. To meet these requirements, this paper combines several approaches and technologies, namely the Internet of Things, cloud computing, edge computing and big data, into a common framework to enable a unified approach to implementing an ISS at an urban scale, thus paving the way for the metropolitan intelligent surveillance system (MISS). The proposed solution aims to push data management and processing tasks as close to data sources as possible, thus increasing performance and security levels that are usually critical to surveillance systems. To demonstrate the feasibility and the effectiveness of this approach, the paper presents a case study based on a distributed ISS scenario in a crowded urban area, implemented on clustered edge devices that are able to off-load tasks in a {\textquotedblleft}horizontal{\textquotedblright} manner in the context of the developed MISS framework. As demonstrated by the initial experiments, the MISS prototype is able to obtain face recognition results 8 times faster compared with the traditional off-loading pattern, where processing tasks are pushed {\textquotedblleft}vertically{\textquotedblright} to the cloud. Copyright {\textcopyright} 2018 John Wiley \& Sons, Ltd.

}, keywords = {Big Data, cloud computing, Distributed Smart Cameras, Edge computing, Face recognition, Information management, Intelligent surveillance systems, Internet of Things, monitoring, Multiple video streams, Network security, Public safety and securities, Security systems, Smart city, Stack4Things, Stream processing, Surveillance systems, Technological advances}, issn = {00380644}, doi = {10.1002/spe.2586}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049578094\&doi=10.1002\%2fspe.2586\&partnerID=40\&md5=25de910451975bb24c9cfbdf6ca69066}, author = {Rustem Dautov and Salvatore Distefano and Dario Bruneo and Francesco Longo and Giovanni Merlino and Antonio Puliafito and Rajkumar Buyya} } @proceedings {Bruneo2017, title = {Head in a Cloud: An approach for Arduino YUN virtualization}, journal = {GIoTS 2017 - Global Internet of Things Summit, Proceedings}, year = {2017}, note = {cited By 0; Conference of 2017 Global Internet of Things Summit, GIoTS 2017 ; Conference Date: 6 June 2017 Through 9 June 2017; Conference Code:130055}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, address = {Geneva; Switzerland; 6-9 June 2017}, abstract = {

Smart boards are triggering the IoT revolution, allowing to make common objects and things smart through their network, storage and processing capabilities. Arduino boards have a prominent role in this revolution, due to their customizability and programming freedom. From a different perspective, another strategic development for the IoT is towards Cloud, allowing to properly manage things and data ubiquitously, on demand, as services. Pushing in this direction, we can pave the way to the Cloud of Things, where real things, rather than the data they produce, can be provided to third parties, by adopting a {\textquoteright}device-centric{\textquoteright} approach. To this purpose, virtualization of physical resources becomes an essential step and core mechanism. In this paper we focus on smart board virtualization, implementing a flexible solution for Arduino boards based on Stack4Things, allowing to create, multiplex, migrate and deploy virtual boards in IoT-Cloud contexts. The results obtained by a preliminary implementation and experiments on the $\#$SmartME testbed are shown in the paper to demonstrate the feasibility and the effectiveness of the proposed solution. {\textcopyright} 2017 IEEE.

}, keywords = {Arduino YUN, Clouds, Computer operating systems, Core mechanisms, Customizability, Digital storage, GPIO pins, Internet of Things, Physical resources, Processing capability, Stack4Things, Strategic development, Virtual reality, Virtualization}, isbn = {9781509058730}, doi = {10.1109/GIOTS.2017.8016263}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029291785\&doi=10.1109\%2fGIOTS.2017.8016263\&partnerID=40\&md5=4a8eed3e1348ab91166e648151d625c0}, author = {Dario Bruneo and Salvatore Distefano and Francesco Longo and Giovanni Merlino and Antonio Puliafito and Angelo Zaia} } @article {Distefano2017439, title = {Personalized Health Tracking with Edge Computing Technologies}, journal = {BioNanoScience}, volume = {7}, number = {2}, year = {2017}, note = {cited By 0}, pages = {439-441}, publisher = {Springer New York LLC}, abstract = {

The health monitoring component is the essential block, a pillar of several e-health systems. Plenty of health tracking applications and specific technologies such as smart devices, wearables, and data management systems are available. To be effective, promptly reacting to issues, a health monitoring service must ensure short delays in data sensing, collection, and processing activities. This is an open problem that distributed computing paradigms, such as Internet of Things (IoT), Cloud, and Edge computing, could address. The solution proposed in this paper is based on Stack4Things, an IoT-Cloud framework to manage edge nodes such as mobiles, smart objects, network devices, workstations, as a whole, a computing infrastructure allowing to provide resources on-demand, as services, to end users. Through Stack4Things facilities, the health tracking system can locate the closer computing resource to offload processing and thus reducing latency per the Edge computing paradigm. {\textcopyright} 2016, Springer Science+Business Media New York.

}, keywords = {Clouds, Computing infrastructures, Data management system, Distributed computer systems, Edge computing, Health, Health monitoring, Health tracking systems, human, human computer interaction, Information management, Internet, Internet of Things, Internet of Things (IOT), monitoring, Stack4Things, Tracking application, Wearable technology}, issn = {21911630}, doi = {10.1007/s12668-016-0388-5}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019121810\&doi=10.1007\%2fs12668-016-0388-5\&partnerID=40\&md5=e5aa843f2f869945fe04d5f62c97a6c5}, author = {Salvatore Distefano and Dario Bruneo and Francesco Longo and Giovanni Merlino and Antonio Puliafito} } @proceedings {Bruneo2017135, title = {User-space network tunneling under a mobile platform: A case study for android environments}, journal = {ADHOC-NOW 2017: Ad-hoc, Mobile, and Wireless Networks}, year = {2017}, note = {cited By 0; Conference of 16th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2017 ; Conference Date: 20 September 2017 Through 22 September 2017; Conference Code:198729}, pages = {135-143}, publisher = {Springer Verlag}, address = {Messina; Italy; 20-22 September 2017}, abstract = {

The IoT ecosystem is taking the whole ICT world by storm and, in particular for currently hot topics such as Smart Cities, it is becoming one of the key enablers for innovative applications and services. When talking about end users, or even citizens, mobiles enter the picture as the ultimate personal gadget, as well as relevant outlets for most of the duties (sensing, networking, edge computing) IoT devices are typically envisioned in the first place. Smartphones, tablets and similar accessories are even more powerful in terms of hardware capabilities (and function diversity) than typical embedded systems for IoT, but it is typically the software platform (e.g., the OS and SDK) which limits choices for the sake of security and control on the user experience. Even a relatively open environment, such as Android, exhibits these limits, in stark contrast to the otherwise very powerful and feature-complete functionalities the underlying system (i.e., Linux) natively supports. In this work the authors describe a fully user-friendly and platform-compliant approach to let users break free from some of these limitations, in particular with regard to network virtualisation, for the purpose of extending an IoT-ready Smart City use case to mobiles. {\textcopyright} Springer International Publishing AG 2017.

}, keywords = {Ad hoc networks, Android (operating system), Clouds, Computer operating systems, Distributed computer systems, embedded systems, Internet of Things, Mobile ad hoc networks, Network virtualisation, network virtualization, Open environment, OpenStack, Reverse tunneling, Smart city, Software platforms, Stack4Things, Underlying systems, Virtual reality, Virtualization, Wireless ad hoc networks}, isbn = {9783319679099}, issn = {03029743}, doi = {10.1007/978-3-319-67910-5_11}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030154981\&doi=10.1007\%2f978-3-319-67910-5_11\&partnerID=40\&md5=e898f7c0ffad87eadbefa74a8a7a8940}, author = {Dario Bruneo and Salvatore Distefano and Kostya Esmukov and Francesco Longo and Giovanni Merlino and Antonio Puliafito} } @proceedings {Bruneo2016, title = {Deploying advanced services in the $\#$SmartME infrastructure}, journal = {2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016}, year = {2016}, note = {cited By 0; Conference of 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 ; Conference Date: 7 September 2016 Through 9 September 2016; Conference Code:124837}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, address = {Bologna; Italy; 7-9 September 2016}, abstract = {

Smart Cities can be viewed as a complex ecosystem where thousands of {\textquoteright}things{\textquoteright} (e.g., smart objects, vehicles, mobiles) interact with people in order to provide innovative services. Following this view, the $\#$SmartME project aims at creating an horizontal Cloud-based framework enabling developers and users to manage such a complex ecosystem, remotely controlling things as well as virtualizing their functions implementing a provisioning model to scatter the application logic on top of the involved smart objects and to choose with fine granularity which specific tasks to delegate to centralized Cloud infrastructure. After one year from the project kickoff, we present the main architecture by highlighting how advance services can be deployed. {\textcopyright} 2016 IEEE.

}, keywords = {$\#$SmartME, Arduino, Clouds, Ecology, Ecosystems, IaaS, OpenStack, smart cities, Stack4Things}, isbn = {9781509011315}, doi = {10.1109/RTSI.2016.7740633}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006001490\&doi=10.1109\%2fRTSI.2016.7740633\&partnerID=40\&md5=76b3333938151fc341a6f3994a693da8}, author = {Dario Bruneo and Francesco Longo and Giovanni Merlino and Antonio Puliafito and Salvatore Distefano} } @proceedings {Bruneo2016, title = {An IoT Testbed for the Software Defined City Vision: The $\#$SmartMe Project}, journal = {2016 IEEE International Conference on Smart Computing, SMARTCOMP 2016}, year = {2016}, note = {cited By 2; Conference of 2nd IEEE International Conference on Smart Computing, SMARTCOMP 2016 ; Conference Date: 18 May 2016 Through 20 May 2016; Conference Code:122466}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, address = {St. Louis; United States; 18-20 May 2016}, abstract = {

To kickstart the process of morphing Messina into a {\guillemotleft}smart{\guillemotright} city, an explicit mission for the crowdfunded $\#$SmartME project, it is essential to set up an infrastructure of smart devices embedding sensors and actuators, to be scattered all over the urban area. An horizontal framework coupled with the Fog computing approach, by moving logic toward the {\guillemotleft}extreme{\guillemotright} edge of the Internet where data needs to be quickly elaborated, decisions made, and actions performed, is a suitable solution for data- intensive services with time-bound constraints as those usually required by citizens. This is especially true in the context of IoT and Smart City where thousands of smart objects, vehicles, mobiles, people interact to provide innovative services. We thus designed Stack4Things as an OpenStack-based framework spanning the Infrastructure-as-a-Service and Platform-as-a-Service layers. We present some of the core Stack4Things functionalities implementing a Fog computing approach towards a run- time {\guillemotleft}rewireable{\guillemotright} Smart City paradigm, by outlining node management and contextualization mechanisms, also describing its usage in terms of already supported and developed verticals, as well as a specific example related to environmental data collection through $\#$SmartME. {\textcopyright} 2016 IEEE.

}, keywords = {$\#$SmartME, Arduino, Clouds, Computation theory, IaaS, Infrastructure as a service (IaaS), Internet of Things, OpenStack, Platform as a Service (PaaS), smart cities, Stack4Things}, isbn = {9781509008988}, doi = {10.1109/SMARTCOMP.2016.7501678}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979570937\&doi=10.1109\%2fSMARTCOMP.2016.7501678\&partnerID=40\&md5=c7d8b8c0b0cd880d9c781770a5721acc}, author = {Dario Bruneo and Salvatore Distefano and Francesco Longo and Giovanni Merlino} }