The First International Workshop on
(3SCity-E2C) Building Software Services in Smart City through
Edge-to-Cloud orchestration

in conjunction with The 21thIEEE International Conference on Mobile Data Management, Versailles, France
June 30, 2020

Download Call For Paper (CFP-3SCity-E2C 2020 Workshop)

Notification about Corona Virus (COVID-19) by the organizer of the IEEE MDM 2020 conference


About IEEE MDM 2020 Conference:

The MDM series of conferences, since its debut in 1999, has established itself as a prestigious forum for the exchange of innovative and significant research results in mobile data management. The conference provides unique opportunities to bring researchers, engineers, and practitioners together to explore new ideas, techniques, and tools, and exchange experiences. The conference this year is hosted by the Computer Science department of the University of Versailles.

Comprising both research and industry tracks, it serves as an important bridge between academic researchers and industry researchers. Along with the presentations of research publications, it also serves as a meeting place for technical demonstrations (demos), workshops, advanced seminars, panel discussions as well as Ph.D. forum and an Industrial forum to cater to Ph.D. students and industrial developers.

The conference focuses on research contributions in data management in mobile, ubiquitous and pervasive computing.

About IEEE 3SCity-E2C 2020 Workshop:

The first international 3SCity-E2C workshop is a leading venue for academics and practitioners to present and discuss their research on evidence-based data and software engineering, and its implications for data and software practice. Based on this objective, smart cities are an excellent example of a contribution between ICT, data architectures, software developers, citizens and their business requirements, and city manager policies. Those contribution challenges make several opportunities to discuss building Software Services as well as Large-Scale Data Management in smart cities through novel ICT technologies, such as Edge-to-Cloud computing orchestration. In addition, this workshop lightly highlights another challenge to build efficient software services in a city such as ICT architecture and platform, and its data management and cybersecurity issues.

All accepted papers will be published in the proceedings of the 2020 International Conference on Mobile Data Management and included in the IEEE Xplore® digital library.

The challenge

  • Objectives:

Design, implementation, and operation of integral solutions for “Large-Scale Data Management to build Software Services in Smart Cities through Edge-to-Cloud orchestration.”

  • Challenges:

The stress of urban growth and citizens’ requirements makes it complex to build software services in a smart city. Some key points of these complexities go beyond large-scale IoT management in a smart city in terms of management of data and IoT resources as well as assessment and mitigation cybersecurity threats/risks to validate security requirements for building software services in a smart city.

  • Introduction:

As cities change and overgrow, smart city services contribute potent tools for enhancing livability, sustainability, and overall efficiency. Internet of Things (IoT) technology is considered as the heart of a smart city environment to develop the lives of the citizens within it. The IoT-enabled smart city may help to reroute traffic around congestion in real-time, automatically schedule repairs for failed infrastructure like street lighting, and intelligently organize energy and pollution consumption right across the constructed environment. It can defend citizens and businesses from violations as well as safeguard vulnerable citizens in their homes.
By 2021, Gartner envisages that 25 billion IoT devices will be connected and in use as well as assuming prominent business possibilities. However, to benefit fully from capabilities of IoT and thriving innovations in application domains such as applications of the energy management system (EMS), human health applications, etc. in the smart city, it is critical to facilitate the creation and operation of large-scale IoT systems management in the smart city. IoT systems are known to be complex, large scale, and distributed. Coordinated behavior across IoT, edge, and cloud infrastructures require to be organized and structured. Furthermore, the trustworthiness of such systems is critical, ranging from business-critical to safety-critical. The capacity to continuously grow and conform to these systems is crucial to assure and develop their trustworthiness, quality, and user experience.
Edge-to-Cloud orchestration can offer a splendid solution for building Software Services across the city as well as management of the large-scale IoT in smart cities. With regard to focus on designing large-scale software services, we should consider data as the most precious resource for service development in smart cities. Without data, services cannot be launched for smart city citizens. Therefore, to build efficient smart city services, we should consider large-scale IoT data management architecture from data collection to data consumption as well as assessment and mitigation cybersecurity threats/risks to validate security requirements for building software services in the smart city.
Building Software Services in Smart City through Edge-to-Cloud orchestration (3SC-E2C) workshop focuses on software-assisted environments for urban environments. We welcome strong papers exploring the theme of “Large-Scale Data Management to build Software Services in Smart Cities” mainly concentrating on Edge-to-Cloud orchestration. This workshop brings together researchers, developers, practitioners, and stakeholders interested in the advances and applications for smart cities. In addition to this, we look forward to novel proposals for the large-scale management of data, software/service, and cybersecurity in the smart city environment.

Organization

Organizing Committee

Workshop Organizer and Idea Creator

Ask him about “Large-Scale IoT Management” and “Edge-to-Cloud Computing”

Amir Sinaeepourfard, Ph.D. is a research associate as well as a Postdoctoral candidate at Norwegian University of Science and Technology (NTNU), Norway. He holds the Ph.D. in Computer Architecture (focused on data and software management) with First Class Honors (Cum Laude) at Technical University of Catalonia (UPC) in Spain, in 2018. He had a fellow of the fellowship program FI-DGR of the Generalitat de Catalunya in Spain for his Ph.D. studies. Based on his Ph.D. Studies, he proposed several novel contributions for Large-Scale ICT management in smart cities through Edge-to-Cloud orchestration, e.g., “D2C-DM: Distributed-to-Centralized Data Management”. One of his publications, based on his Ph.D. thesis, received the IFIP Med-Hoc-Net paper of the year award for 2016. Prior to that, he has 10 years of practical experience of IT working in some of the largest companies (such as IT, Oil and Gas, and Bank industries). He has several hands-on experiences in both academic research and organizing scientific sessions/events/seminars/workshops/conferences in his background, such as IEEE/ACM IWQoS 2017.

His current research interest includes Smart Cities, Large-Scale IoT Management, Big Data Management, Cloud and Edge Computing, Data and Software Management (including Centralized and Distributed).

His publication lists> https://scholar.google.no/citations?hl=en&user=nEUU-rgAAAAJ&view_op=list_works&sortby=pubdate

Workshop Committee Members

Ask him about “SDN” and “Mobile Computing”

 Antonio J. Jara (CEO), Ph.D. founder of HOP Ubiquitous S.L. (www.hopu.eu), vice-chair of the IEEE Communications Society Internet of Things Technical Committee, and adjoint scientifique in the University of Applied Sciences Western Switzerland. He did his Ph.D. (Cum Laude) at the University of Murcia (UMU), Spain. These Ph.D. results present a novel way to connect objects to Internet-enabled platforms in an easy, secure and scalable way. He also carried out an MBA and entrepreneurship formation in the ENAE business school and UCAM (2012). He received entrepreneurship awards from ENAE (sponsored by SabadellCAM financial services), emprendeGo (sponsored by Spanish government), IPSO Alliance Award (Sponsored by Google) for its disruptive innovation in the IoT, selected and mentored by the acceleration program FABULOUS (part of the FIWARE EU project). Antonio Jara as part of HOP Ubiquitous is focused on the Smart Cities market with solutions for citizens engagements, tourism, active participation, physical web and environmental monitoring (air quality sensors). Antonio Jara has also participated in over 100 international events about Internet of Things as Speaker, over 100 international publications/papers (~4000 citations and impact factor h=31), he holds several patents in the IoT domain and finally he has advised in the IoT domain to companies such as Microsoft and Fujitsu.

His current research interest includes IoT, Smart Cities, Future Internet, IPv6, blockchain Applied in IoT, Mobile Computing, Emergency Services, Software-Defined Networking (SDN), and Software Maintenance.

His publication lists> https://scholar.google.no/citations?user=Fri4gKsAAAAJ&hl=en&oi=ao

Ask him about “Fog/Edge Computing” and “Cybersecurity & Privacy”

Antonio Salis, is R&D Project manager in Engineering Sardegna. Since 1988 he has been working in software and integration projects, where he played several roles, from developer to system architect and technical lead, with TECHSO (IBM participated), ST Microelectronics, Video On-Line, Telecom Italia, and Tiscali, where acted as Corporate Project Manager and responsible for Quality, Information Security and Data Privacy Compliance. Previously involved in the Contrail EU FP7 Project for Open Computing Infrastructures for elastic services, currently acting as Exploitation and Dissemination Manager in the mF2C EU H2020 Towards an Open, Secure, Decentralized and Coordinated Fog-to-Cloud Management Ecosystem. Program Chair in the 2nd and 3rd edition of the F2C-DP Workshops in Euro-Par 2018 and 2019, Vice-Chair in the Managed Fog-to-Cloud  (mF2C) Workshop in 11. IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2018). He received a master degree in Computer Science from the University of Pisa.

His current research interest includes Cloud, Fog/Edge computing, IoT, Big Data & Machine Learning, Cybersecurity & Privacy, leveraging my experience in Information Security and Privacy in Internet and Telco enterprise companies, and proposing and supporting Digital Transformation projects.

His publication lists> https://dblp.uni-trier.de/pers/hd/s/Salis:Antonio

Ask him about “Fog/Edge Computing” and “Cybersecurity”

Deepak Puthal, Ph.D. is a Lecturer at the School of Computing, Newcastle University, UK. Prior to this position, he was a Lecturer at University of Technology Sydney (UTS), Australia. His research spans several areas, such as Internet of Things, Edge/Fog Computing, cybersecurity and blockchain. He serves on the editorial boards of top-quality international journals including IEEE Transactions on Big Data, IEEE Consumer Electronics Magazine, Computers & Electrical Engineering (Elsevier), International Journal of Communication Systems (John Wiley & Sons), Internet Technology Letters (John Wiley & Sons). He has received several recognitions and best paper awards from IEEE.

His current research interest includes Cybersecurity, IoT, Distributed Computing, and Edge/Fog Computing.

His publication lists> https://scholar.google.co.in/citations?user=-USAlD8AAAAJ&hl=en

Ask him about “Software Engineering” and “IoT Security and Privacy”

Phu H. Nguyen, Ph.D. is a Research Scientist at the Department of Software and Service Innovation, SINTEF, Oslo, Norway. He conducts research in Software Engineering, with a focus on tools and methodologies for software development and operation of heterogeneous and autonomous, yet secure and privacy-aware systems spanning across the Cloud, the Edge, and the IoT. He has experience from working in international research projects in the EU as well as research and development projects with industry. He has a very international education and research background, from Vietnam (BSc) to the Netherlands (MSc), Luxembourg (Ph.D.), and Norway. Phu is active in contributing to the peer-review tasks of high-impact journals such as IEEE Transactions on Software Engineering (TSE), Springer Journal on Software and System Modeling (SoSyM), Elsevier Journal on Information and Software Technology (INFSOF), Journal of Systems and Software (JSS) as well as conferences and workshops. He is a PC member of the International Workshop on Designing and Measuring CyberSecurity in Software Architecture (DeMeSSA 2019), Co-PC Chair of the 11th A-TEST (Automated Testing) workshop 2020. He was awarded a certificate for exceptional contributions, support, and commitment in the organization of the Sixth IEEE International Conference on Software Testing, Verification and Validation (ICST 2013), IBM award for displaying exceptional personal dedication, teamwork and contribution to the ibm.com project 2007, and the first prize at the LuxDoc Science Slam 2014 for communicating research to the public.

His current research interest includes IoT, Microservices Architecture, Cloud to Fog/Edge, C-ITS, and IoT Security and Privacy.

His publication lists> https://scholar.google.com/citations?hl=en&user=Nm4OBGYAAAAJ

Scientific Committee

  • Dirk Ahlers, Norwegian University of Science and Technology (NTNU), Norway
  • Amirhosein Taherkordi, Universitetet i Oslo (UiO), Norway
  • Jens Jensen, UK Research and Innovation-Science and Technology Facilities Council (UKRI-STFC), UK
  • Shuaib Siddiqui, i2CAT Foundation, Spain
  • Alexander Norta, TalTech, Estonia
  • Octavio Loyola-González, Tecnologico de Monterrey, Mexico
  • Shehenaz Shaik, Auburn University, USA
  • Suman Sankar Bhunia, PwC Inc., India
  • Vitor Barbosa Souza, Universidade Federal de Viçosa (UFV), Brazil
  • Mona Ghassemian, BT Telecommunications, UK
  • Saad Qaisar, National University of Sciences and Technology (NUST), Pakistan
  • Ali Dorri, Queensland University of Technology (QUT), Australia
  • Souvik Sengupta, Universitat Politècnica de Catalunya (UPC), Spain
  • Gowri Sankar Ramachandran, University of Southern California, USA
  • Sarang Kahvazadeh, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain
  • Qaisar Shafi, National University of Sciences and Technology (NUST), Pakistan

Keynote speakers

Industry Talk

Soumya Kanti Datta, Eurecom, France

Ask him about “Cybersecurity” and “Mobile Edge Computing (MEC)”

Soumya is an expert on Cybersecurity, Cloud Migration, Digital Transformation Strategy, and IoT. He has seven years of research and technology development experience with a French national, EIT Digital and EU H2020 projects. His R&TD is based on design thinking and focuses on innovation, standardization of next-gen technologies for IoT verticals. He also consults on Circular Economy – its ideation and implementation.

Soumya has published more than 80 research papers and articles in top ACM and IEEE Conferences, Magazines and Journals. His research papers have been cited more than 1750 times in peer-reviewed publications. Soumya is a Senior Member of IEEE. He leads the activities of the IEEE CE Society Future Directions Team on IoT and is an Associate Editor in IEEE Consumer Electronics Magazine. He is also involved in the W3C Web of Things (WoT) Working Group for WoT standard development activities. He obtained an M.Sc in Communications and Computer Security from Telecom ParisTech (EURECOM), France.

Soumya is the recipient of many awards for his research & leadership from IEEE WF-IoT 2019 (Ireland), IEEE ICII 2018 (USA), EU Datathon 2018 (Belgium), IEEE TenSymp 2018 (Australia), IEEE ISCE 2017 (Malaysia), and IEEE GCCE 2015 (Japan).

His current research interest includes IoT, WoT, MEC, and Cybersecurity.

His publication lists> https://scholar.google.com/scholar?q=Soumya+Kanti+Datta,&hl=en&as_sdt=0&as_vis=1&oi=scholart

Title: TBA

Abstract: TBA

Phu H. Nguyen, Ph.D., Sintef Digital, Norway

Ask him about “Software Engineering” and “IoT Security and Privacy”

Phu H. Nguyen, Ph.D. is a Research Scientist at the Department of Software and Service Innovation, SINTEF, Oslo, Norway. He conducts research in Software Engineering, with a focus on tools and methodologies for software development and operation of heterogeneous and autonomous, yet secure and privacy-aware systems spanning across the Cloud, the Edge, and the IoT. He has experience from working in international research projects in the EU as well as research and development projects with industry. He has a very international education and research background, from Vietnam (BSc) to the Netherlands (MSc), Luxembourg (Ph.D.), and Norway. Phu is active in contributing to the peer-review tasks of high-impact journals such as IEEE Transactions on Software Engineering (TSE), Springer Journal on Software and System Modeling (SoSyM), Elsevier Journal on Information and Software Technology (INFSOF), Journal of Systems and Software (JSS) as well as conferences and workshops. He is a PC member of the International Workshop on Designing and Measuring CyberSecurity in Software Architecture (DeMeSSA 2019), Co-PC Chair of the 11th A-TEST (Automated Testing) workshop 2020. He was awarded a certificate for exceptional contributions, support, and commitment in the organization of the Sixth IEEE International Conference on Software Testing, Verification and Validation (ICST 2013), IBM award for displaying exceptional personal dedication, teamwork and contribution to the ibm.com project 2007, and the first prize at the LuxDoc Science Slam 2014 for communicating research to the public.

His current research interest includes IoT, Microservices Architecture, Cloud to Fog/Edge, C-ITS, and IoT Security and Privacy.

His publication lists> https://scholar.google.com/citations?hl=en&user=Nm4OBGYAAAAJ

Title: “Edge-to-Cloud orchestration: a case study of building a scalable Cooperative-Intelligent Transport System (C-ITS)”

Abstract: The development of Cooperative Intelligent Transport Systems (C-ITS) was primarily driven by applications for improving traffic safety and efficiency. More recently, C-ITS applications have focused on not only improving traffic safety and efficiency but also making better use of the digitisation of transport under Cooperative, Connected, and Automated Mobility (CCAM). Indeed, the vision of C-ITS is beyond addressing road safety issues. CCAM is meant for enhanced traffic management and even supporting various business-driven “ecosystems” around C-ITS. For example, besides traffic safety and efficiency scenarios such as intersection collision warning, overtaking warning, cooperative lane change, there will be “business-oriented” scenarios such as miles-traveled-fees, a request for cheap fuel, requirements for customs declarations, diesel bans in city streets and offers for charging stations. This talk presents the challenges and possible solutions of Edge-to-Cloud orchestration in building a scalable C-ITS platform that can realise the vision of CCAM and support for “ecosystems” around C-ITS.

Young Researcher Talk

Souvik Sengupta, Department of Computer Architecture (DAC), Universitat Politècnica de Catalunya (UPC), Spain

Ask him about “Fog/Edge Computing” and “Database Management”

Souvik is a Researcher of CRAAX Lab, Universitat Politechnica da Catalunya (UPC BarcelonaTech) and currently pursuing PhD from the Department of Computer Architecture (DAC) at the UPC BarcelonaTech.  He is working in the area of Resource Management strategy in Fog-to-Cloud computing by using Machine Learning strategies. He has a fellowship from FPI, which is provided by the Ministry of Science and Innovation, Spain. In the past he had been awarded by the Erasmus Mundus Scholarship, which has been provided by the European Commission for the «c-LINK-centre of excellence for Learning, Innovation, Networking and Knowledge», Erasmus Mundus Action 2 project (372242-1-2012-1-UK-ERA MUNDUS-EMA21).

His current research interest includes Fog/Edge computing, Cloud Computing, IoT, Database Management, Machine Learning

His publication lists: https://orcid.org/0000-0002-0056-1540

Title: “Prospect of Federated Learning in the combined Fog-to-Cloud Computing paradigm”

Abstract: The rapid emergence of the Internet of Things (IoT) technology has significantly fueled up the development of ubiquitous
computing, and driving the whole society into a new smart computing world. As a matter of course, every surrounding thing is
getting connected with the network. Importantly, all of these connected devices are continuously capturing various events from
the environments and generating a massive amount of data. Interestingly, the International Data Corporation (IDC), predicts that
by 2025 more than forty-two (42) billions of various smart connected devices or things would be activated across the globe, and
these devices would produce almost seventy-nine (79) zettabytes (ZB) of data in the same year [1]. Thus, managing those massive
amounts of data and devices poses an enormous challenge for any existing computing system. Notably, one of the critical features
of any modern smart computing system is to provide latency-sensitive context-aware services efficiently among the end-users. For
ensuring this facility, it is essential to distribute the computation and secure storage facilities all over the network. Realizing this
fact, Xavi et al. [2] proposed a coordinated and hierarchical Fog-to-Cloud (F2C) computing platform by integrating the Cloud,
Fog and IoT functionalities.
One of the most significant nature of the F2C is that it helps to bring more intelligence at the verge of the network. Significantly,
intelligence is closely related to the adaption of knowledge from history. Based on the learning from past incidents, a device can
able to perform quick and wise action. Thus, in the F2C scenario, local data storing and processing with global coordination is
essential for bringing the smartness at the end-users site. Therefore, Federated Learning [3] is going to play a crucial role in any
large-scale distributed computing paradigm, i.e., F2C-enabled Smart Computing system. Local data processing – is the biggest
advantage of the Federated Learning technique. As the data is locally processing, there is no more further requirement to send
the data to the centralized server. That means, the Federated Learning not only reduces the bandwidth consumption as well as it
ensures the currently coined-up data-privacy issues (ex. GDPR) [4].
In many aspects and scenarios, Federated Learning can be beneficial for the F2C, and it helps the F2C to keep its promises
for bringing the smartness to the verge of the network. For example, in the real-time traffic management system to e-Health
emergency services, Federated Learning can be productive for F2C. Especially for offering any real-time context-aware services,
F2C can grant the better quality of facilities by adopting the Federated Learning techniques. Thus the adoption of the Federated
Learning concept in the F2C, is still in the infancy stage. So, many more aspects are still open to be addressed. In this talk, will
focus on identifying the prospects and the open issues for implementing the Federated Learning concept in the combined and
hierarchical Fog-to-Cloud (F2C) paradigm.
REFERENCES
[1] M. Shirer and C. MacGillivray. (2019, jun) The growth in connected iot devices is expected to generate 79.4zb of data in 2025, according to a new idc
forecast. [Online]. Available: https://www.idc.com/getdoc.jsp?containerId=prUS45213219
[2] X. Masip-Bruin, E. Marın-Tordera, A. Juan-Ferrer, A. Queralt, A. Jukan, J. Garcia, D. Lezzi, J. Jensen, C. Cordeiro, A. Leckey et al., “mf2c: towards
a coordinated management of the iot-fog-cloud continuum,” in Proceedings of the 4th ACM MobiHoc Workshop on Experiences with the Design and
Implementation of Smart Objects. ACM, 2018, p. 8.
[3] H. B. McMahan, E. Moore, D. Ramage, S. Hampson et al., “Communication-efficient learning of deep networks from decentralized data,” arXiv preprint
arXiv:1602.05629, 2016.
[4] K. Bonawitz, H. Eichner, W. Grieskamp, D. Huba, A. Ingerman, V. Ivanov, C. Kiddon, J. Konecny, S. Mazzocchi, H. B. McMahan et al., “Towards
federated learning at scale: System design,” arXiv preprint arXiv:1902.01046, 2019.

Partners

NTNU – Norwegian University of Science and Technology

NTNU is a university with an international focus, with headquarters in Trondheim and campuses in Ålesund and Gjøvik.

NTNU has a main profile in science and technology, a variety of programs of professional study, and great academic breadth that also includes the humanities, social sciences, economics, medicine, health sciences, educational science, architecture, entrepreneurship, art disciplines, and artistic activities.

www.ntnu.edu

ZEN – Zero Emission Neighbourhoods in Smart Cities

The ZEN Research Centre conducts research on Zero-Emission Neighbourhoods (ZEN) in smart cities.

The main goal is to develop solutions for future buildings and neighbourhoods with no greenhouse gas emissions and thereby contribute to a low carbon society.

https://www.fmezen.no/

Submission

Building Software Services in Smart City through Edge-to-Cloud orchestration (3SC-E2C) workshop focuses on software-assisted environments for urban environments. We welcome strong papers exploring the theme of “Large-Scale Data Management to build Software Services in Smart Cities” mainly concentrating on Edge-to-Cloud orchestration. This workshop brings together researchers, developers, practitioners, and stakeholders interested in the advances and applications for smart cities. In addition to this, we look forward to novel proposals for the large-scale management of data, software/service, and cybersecurity in the smart city environment.

Topics

The workshop provides a forum to discuss the theoretical foundations and original technical contributions of building Software Services through Large-Scale data management architecture in the smart cities based on edge-to-cloud computing solutions, by bringing together industry, academia, engineers, and researchers. We invite submissions of the unpublished work on the following topics (but not limited to):

  • Data Management Technologies, Architecture, and Platforms through Edge-to-Cloud computing networks in Smart Cities;
  • ICT Technologies, Architecture, and Platforms through Edge-to-Cloud computing networks in Smart Cities;
  • Innovative services in Edge-to-Cloud computing networks in smart cities, particularly IoT, smart sensing, and Artificial Intelligence technology;
  • Quality of Edge-to-Cloud services in smart cities;
  • Edge-based or Edge-to-Cloud based real-time applications in smart cities;
  • Software of Edge Computing and Edge-to-Cloud computing networks in smart cities;
  • Software-Defined Networking (SDN) for Edge computing and Edge-to-Cloud computing networks in smart cities;
  • Load balancing and service selection at the Edge computing networks in smart cities;
  • Cybersecurity challenges and solutions for threat and attack detection in Large-Scale Smart City environment through Edge-to-Cloud computing networks;
  • Federated Learning through Edge-to-Cloud computing networks.

Important dates

  • Paper Submission Deadline: March 22, 2020,  April 5, 2020, April 26, 2020, 23:59 (anywhere on the earth) FIRM DEADLINE
  • Notification of Paper Acceptance: May 18, 2020
  • Camera-ready Deadline: May 29, 2020 FIRM DEADLINE

Submission instruction

3SCity-E2C proceedings will be published in the combined 21st IEEE International Conference on Mobile Data Management (MDM) 2020 proceedings and will be submitted to IEEE Xplore® digital library. The following paper categories are welcome:

Program

TBA

Venue

Please visit this link for further information.

Contact

For further information, please contact us at a.sinaee@ntnu.no. Please put the title of your email «3SCity-E2C 2020 Workshop-Question».