-------- Ursprüngliche Nachricht -------- Von: Eirini Eleni Tsiropoulou eirini@UNM.EDU Gesendet: 5. März 2019 05:47:53 MEZ An: tccc-announce@COMSOC.ORG Betreff: [TCCC-ANNOUNCE] DIPI 2019 - just a few days to submission deadline (March 11) - Data Distribution in Industrial and Pervasive Internet - Washington DC

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1st International Workshop on

Data Distribution in Industrial and Pervasive Internet (DIPI 2019)* June 9-12, 2019 Washington DC, USA http://cnd.iit.cnr.it/dipi2019/

*co-located with IEEE WoWMoM 2019

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******** Benefits ********

- Accepted papers will be included and indexed in IEEE Xplore

- 6-pages double column format

- Editorial follow-ups: Extended versions of selected papers might be considered for possible fast track publication in a Special Issue of Elsevier Computer Communications

******** Topics of Interest ********

The ubiquitous presence of data originating from the integration of wireless networks, pervasive computing, industrial equipment and people, has led to an increased interest in solutions for distributed data management and efficient data distribution at the edge of the networked environments. The essence of this vision is the creation of data-driven networks saturated with pervasive sensing, computing, and wireless communication that ideally support the needs of individuals, societies and industries.

Contributions can be analytical, empirical, technological, methodological, or a combination of those. Papers reporting strong data-oriented systems engineering contributions backed by solid and appropriate evaluations are strongly encouraged. The impact of the contributions should be demonstrated in the context of the data-related aspects in the pervasive and industrial internet. Research contributions are solicited in all application areas pertinent to industrial and pervasive data distribution, including but not limited to:

Data distribution in Industrial Internet, where novel data management techniques can be supported by networking protocols, algorithms and processes, and where intelligent entities can exchange and manage distributed data in order to achieve improved performance for both the cyber and the physical components.

Particular areas of interest include:

- Data-driven industrial IoT architectures with multiple inter-connected networking technologies

- Pervasive data distribution and management algorithms for the Industrial Internet

- Networking protocol stacks and standardization for enabling efficient data distribution

- Industrial cloud and edge computing, communication and networking technologies

- Data-oriented networked control, distributed optimization, and distributed learning

- Industrial internet robotics and autonomous systems

- Modeling of tightly integrated, data-intensive Cyber-Physical processes, computation platforms, and networks

- Data distribution solutions which satisfy the Industry 4.0 requirements

Data distribution in Pervasive Internet, where the ambient intelligence of network devices embedded in the environment can provide a constant and unobtrusive data management and distribution.

Particular areas of interest include:

- Large-scale data management and distribution in pervasive internet

- Clouds, cloudlets, fog computing, device-to-device coordination

- Pervasive big data and artificial intelligence

- Smart spaces and intelligent environments

- Cognitive computing techniques

- Social Cyber-Physical Computing and human in the loop, data-oriented approaches

- Crowdsensing and analytics of human user data in Cyber-Physical Systems

Contributions focused on the horizontal topics of (a) security, privacy, trust (b) reliability, safety (c) experiences from real-world deployments, testbeds, case studies, are also welcome, as long as they target one of the aforementioned application areas.

******** Main Organizers ********

- Workshop Chairs

Theofanis P. Raptis, Institute for Informatics and Telematics, National Research Council (IIT-CNR), Italy Georgios Z. Papadopoulos, IMT Atlantique, France

- Technical Program Committee

Masoud Abbaszadeh (GE Global Research, USA) Xenofon (Fontas) Fafoutis (DTU, Denmark) Antoine Gallais (Inria Lille / University of Strasbourg, France) Oana Iova (INSA Lyon, France) Salil Kanhere (UNSW Sydney, Australia) Stamatis Karnouskos (SAP, Germany) Vasilis Katos (Bournemouth University, UK) Ernoe Kovacs (NEC Labs Europe, Germany) Francois Lemercier (NIST, USA) Valeria Loscri (Inria Lille, France) Nathalie Mitton (Inria Lille, France) Julien Montavont (University of Strasbourg, France) Sharief Oteafy (DePaul University, USA) Chrysa Papagianni (Nokia Bell Labs, Belgium) Andrea Passarella (IIT-CNR, Italy) Tanguy Ropitault (NIST, USA) Miguel Sepulcre (Miguel Hernandez University of Elche, Spain) Lei Shu (University of Lincoln, UK / Nanjing Agricultural University,

China)

George Sklivanitis (Florida Atlantic University, USA) Petros Spachos (University of Guelph, Canada) Violet R. Syrotiuk (Arizona State University, USA) Geraldine Texier (IMT Atlantique, France) Fabrice Theoleyre (CNRS / University of Strasbourg, France) Eirini Eleni Tsiropoulou (University of New Mexico, USA) Carlo Vallati (University of Pisa, Italy) Cong Wang (Old Dominion University, USA) Dimitrios Zorbas (Tyndall National Institute, Ireland)

- Publicity co-Chairs

Gangyong Jia (Hangzhou Dianzi University, China) Fabrice Theoleyre (CNRS / University of Strasbourg, France) Eirini Eleni Tsiropoulou (University of New Mexico, USA)

******** Important Dates ********

Paper Submission: March 11, 2019

Acceptance Notification: April 15, 2019

Camera Ready: April 29, 2019

******** Submission Guidelines ********

http://cnd.iit.cnr.it/dipi2019/sub.html

-------------------------------------------------------------------------- Eirini Eleni Tsiropoulou Assistant Professor

Department of Electrical and Computer Engineering University of New Mexico Albuquerque, NM, 87131 Office: 235D Tel.: (505)-277-5501 Email: eirini@unm.edumailto:eirini@unm.edu Website: PROTON Labhttp://ece-research.unm.edu/tsiropoulou/index.html PROTON Lab's News: @PROTON_Labhttps://twitter.com/PROTON_Lab

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