@article {Puliafito2019, title = {Fog computing for the Internet of Things: A survey}, journal = {ACM Transactions on Internet Technology - ACM}, volume = {19}, number = {2}, year = {2019}, note = {cited By 0}, publisher = {Association for Computing Machinery}, abstract = {

Research in the Internet of Things (IoT) conceives a world where everyday objects are connected to the Internet and exchange, store, process, and collect data from the surrounding environment. IoT devices are becoming essential for supporting the delivery of data to enable electronic services, but they are not sufficient in most cases to host application services directly due to their intrinsic resource constraints. Fog Computing (FC) can be a suitable paradigm to overcome these limitations, as it can coexist and cooperate with centralized Cloud systems and extends the latter toward the network edge. In this way, it is possible to distribute resources and services of computing, storage, and networking along the Cloud-to-Things continuum. Assuch, FC brings all the benefits of Cloud Computing (CC) closer to end (user) devices. This article presents a survey on the employment of FC to support IoT devices and services. The principles and literature characterizing FC are described, highlighting six IoT application domains that may benefit from the use of this paradigm. The extension of Cloud systems towards the network edge also creates new challenges and can have an impact on existing approaches employed in Cloud-based deployments. Research directions being adopted by the community are highlighted, with an indication of which of these are likely to have the greatest impact. An overview of existing FC software and hardware platforms for the IoT is also provided, along with the standardisation efforts in this area initiated by the OpenFog Consortium (OFC). {\textcopyright} 2019 Association for Computing Machinery.

}, keywords = {Application services, cloud computing, Digital storage, Electronic services, Fog, Fog computing, Internet of thing (IOT), Internet of Things, IOT applications, Resource Constraint, Software and hardwares, Surrounding environment, Surveys, Topological proximity}, issn = {15335399}, doi = {10.1145/3301443}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063939776\&doi=10.1145\%2f3301443\&partnerID=40\&md5=49ad63c8f0f1685fd1d7365914fc86f5}, author = {Carlo Puliafito and Enzo Mingozzi and Francesco Longo and Antonio Puliafito and Omer Rana} } @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} } @proceedings {Kushwaha2018864, title = {Providing sensor services by data correlation: The $\#$SmartME approach}, journal = {Conference on Complex, Intelligent, and Software Intensive Systems}, volume = {611}, year = {2017}, note = {cited By 0; Conference of 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 ; Conference Date: 10 July 2017 Through 12 July 2017}, pages = {864-874}, publisher = {Springer Verlag}, address = {Torino, Italy - 10-12 July 2017}, abstract = {

In the current era Internet is the most used medium for sharing and retrieving the information for building applications which are commonly developed for enhancing the user experience in terms of comfort, communication. For this, the need of real-time sensor data gains importance. The data collected from the physical objects should be easily available for different applications. Semantic representation of the sensor data directly addresses the problem of storing it in logical, easily accessible and extensible manner. Our paper works towards converting the already collected sensor data of the $\#$SmartME project into semantic format and also proposes real-time storage of semantically enriched sensor data. To build applications using these sensor data the authors consider mainly three kinds of sensors, i.e., Temperature, Humidity, Pressure. Predicting the observed value of any sensor data is the main aim of this work. The analysis leverages other sensors \& environmental parameters such as Date, Time, Longitude, Latitude, Altitude etc. Correlation among these parameters and the accuracy of the predicted results showed the suitability of our proposed idea. {\textcopyright} Springer International Publishing AG 2018.

}, keywords = {Building applications, Complex networks, Correlations, Data correlations, Data mining, Digital storage, Environmental parameter, Real time sensors, Semantic representation, Semantic Web, sensor networks, SmartME, Stack4Things}, isbn = {9783319615653}, issn = {21945357}, doi = {10.1007/978-3-319-61566-0_82}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026317817\&doi=10.1007\%2f978-3-319-61566-0_82\&partnerID=40\&md5=7b4cb65c4b09ea03df77bbea893f4002}, author = {Nidhi Kushwaha and Giovanni Merlino and Francesco Longo and Dario Bruneo and Antonio Puliafito and O.P. Vyas} } @proceedings {Bruneo2012277, title = {Modeling energy-aware cloud federations with SRNs}, journal = {32nd International Conference on Application and Theory of Petri Nets and Concurrency (Petri Nets)}, volume = {7400 Lecture Notes in Computer Science}, year = {2012}, note = {cited By 4; Conference of 32nd International Conference on Application and Theory of Petri Nets and Concurrency, Petri Nets 2011 ; Conference Date: 20 June 2011 Through 24 June 2011; Conference Code:94089}, pages = {277-307}, publisher = {Springer-Verlag}, address = {Newcastle upon Tyne, United Kingdom, 20-24 June 2011}, abstract = {

Cloud computing is a challenging technology that promises to strongly modify the way computing and storage resources will be accessed in the near future. However, it may demand huge amount of energy if adequate management policies are not put in place. In particular, in the context of Infrastructure as a Service (IaaS) Cloud, optimization strategies are needed in order to allocate, migrate, consolidate virtual machines, and manage the switch on/switch off period of a data centre. In this paper, we present a methodology based on stochastic reward nets (SRNs) to investigate the more convenient strategies to manage a federation of two or more private or public IaaS Clouds. Several policies are presented and their impact is evaluated, thus contributing to a rational and efficient adoption of the Cloud computing paradigm. {\textcopyright} 2012 Springer-Verlag.

}, keywords = {cloud computing, Computing paradigm, Data centres, Digital storage, Energy aware, Energy conservation, Management policy, Optimization strategy, Performance evaluation, Petri nets, Quality of service, Stochastic reward nets, Stochastic systems, Storage resources, Switch-on, virtual machines}, isbn = {9783642351785}, issn = {03029743}, doi = {10.1007/978-3-642-35179-2_12}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84870045120\&partnerID=40\&md5=b1e106331e417cc512bcbc713cc582de}, author = {Dario Bruneo and Francesco Longo and Antonio Puliafito} }