Very Large Internet of Things (VLIoT 2021)

Workshop @ VLDB 2021

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International Workshop on
Very Large Internet of Things (VLIoT 2021)
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The International Workshop on Very Large Internet of Things (VLIoT 2021)

In conjunction with VLDB 2021

Important Message on Covid-19
We are monitoring the evolution of the covid-19 pandemic. Depending on the situation, we will either operate the workshop for ½ a day as a physical workshop and ½ a day as an online virtual event, or run the workshop fully online.

Important Message on Covid-19

We are monitoring the evolution of the covid-19 pandemic. Depending on the situation, we will either operate the workshop for 1/2 a day as a physical workshop and 1/2 a day as an online virtual event, or run the workshop fully online.

Aims of the Workshop

An increasing number of real-world objects are becoming accessible and manageable through the Internet. According to Statista, the number of these devices is approximately 30 billion by 2020, forming a very large Internet of Things (VLIoT). This massive number of "smart" objects will cooperate with each other, have their own metadata, and may continuously produce new data (in form of events, sensor data, or actuator states). Data management will be a major challenge in the very large Internet of Things. Hence, efficient IoT infrastructure and technologies must be developed to handle masses of IoT data with high performance. This will include: new techniques to filter and store relevant data; efficient replication approaches for objects with constrained resources in order to increase availability and durability; new protocols for voting about decisions among objects; and smooth integration of heterogeneous objects.

The goal of this workshop is to bring together academic researchers and industry practitioners working in the field of IoT and to allow them to report and exchange their findings addressing these challenges. This workshop also intends to discuss other closely-related technologies such as Nanotechnology, Fog-, Edge-, and Dew-Computing for IoT. The ideas of Fog, Edge and Dew Computing may indeed solve or attenuate the problems of a very large Internet of Things (w.r.t. performance, energy-efficiency, as well as security and privacy aspects).

Types of Papers

The workshop welcomes contributions describing original ideas, promising new concepts, and practical experience. In particular, we solicit papers of different types:

  • Research Papers proposing new approaches, theories or techniques related to Internet of Things, including new data structures, algorithms, whole systems, and frameworks. They should make substantial theoretical and empirical contributions to the research field.

  • Experiments and Analysis Papers focusing on the experimental evaluation of existing approaches including data structures and algorithms for Internet of Things and bring new insights through the analysis of these experiments. Results of experiments and analysis papers can be, for example, showing benefits of well-known approaches in new settings and environments, opening new research problems by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey.

  • Application Papers reporting practical experiences on Internet of Things applications. Application papers might describe specific application domains in the IoT such as smart homes/offices/cities, continuous health care, waste management, emergency response, intelligent response, and Industry 4.0.

  • Vision Papers identifying emerging or future research issues and directions, and describing new research visions in the IoT area that may have a great impact on our society.

Topics of Interest

We welcome papers on the following and other relevant topics:

  • Semantic IoT
  • Privacy-by-design and security-by-design in IoT
  • System architectures for IoT, e.g.

    • things-centric,
    • data-centric,
    • event-centric, and
    • service-centric.

  • IoT applications including:

    • smart homes/offices/cities,
    • waste management,
    • health care,
    • emergency response, and
    • intelligent shopping.

  • Nano Technology including:

    • Nano Networks,
    • Nano communication,
    • Nano applications,
    • Nano computing, and
    • Internet of Nano Things.

  • IoT programming toolkits and frameworks
  • IoT prototypes and evaluation test-beds
  • IoT data mining and analytics
  • IoT management and interoperability
  • Management of IoT streams
  • Enabling technologies and standards for the IoT
  • Spatial and temporal reasoning for IoT
  • Sustainability of IoT platforms, e.g. business models for deployment and maintenance
  • Societal challenges and IoT, e.g. urban planning and decision making tools
  • Ownership of data in IoT scenarios
  • Fog, Edge and Dew Computing for IoT
  • IoT benchmarks and performance measurement
  • Indexing and search in IoT environments
  • IoT transactions, concurrency control and recovery
  • Hardware accelerators and energy savers for IoT applications and core infrastructure
  • IoT discovery of devices, services and data

Important Dates

Time Schedule
Submission (extended): May 7, 2021
Notification: May 31, 2021
Workshop: August 16, 2021

Diversity Considerations of the Program Committee

We have currently recruited 33 PC members and chairs listed below who are experts in the topics of interest of our workshop. The current PC members and chairs are selected from 15 nations all over the world as shown also by the map below. While most PC members are from academia, we have 2 experts also from industry (6%). 8 of the PC members and chairs are women (24%).

Legend

Program committee members and chairs: 1  6

Program Committee Chairs

Program Committee

  • Omar Boucelma, Aix-Marseille University, France
  • Flávia C. Delicato, Universidade Federal Fluminense (UFF), Brazil
  • Lorena Etcheverry, Universidad de la República, Uruguay
  • Mirian Halfeld Ferrari, Université d' Orléans, France
  • Jonathan Fürst, NEC Labs Europe, Heidelberg, Germany
  • Abdessamad Imine, INRIA-LORIA Nancy Grand-Est, France
  • Peiquan Jin, University of Science and Technology of China, China
  • Verena Kantere, University of Ottawa
  • Ahmed Khaled, Northeastern Illinois University, USA
  • Abdelmajid Khelil, Landshut University of Applied Sciences, Germany
  • Jan Lindström, MariaDB Corporation, Finland
  • Riccardo Martoglia, University di Modena and Reggio Emilia, Italy
  • Abderrahmen Mtibaa, University of Missouri-St. Louis, USA
  • Luis Muñoz, University of Cantabria, Spain
  • San Murugesan, Western Sydney University, Australia
  • Anne H. Ngu, Texas State University, USA
  • Rahul Pandey, George Mason University, USA
  • Paulo F. Pires, Universidade Federal Fluminense (UFF), Brazil
  • Elaheh Pourabbas, National Research Council of Italy, Italy
  • Gowri Sankar Ramachandran, University of Southern California, USA
  • Luis Sánchez, University of Cantabria, Spain
  • Igor Leão dos Santos, Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (CEFET-RJ), Brazil
  • Sana Sellami, Aix-Marseille University, France
  • Georgios Smaragdakis, TU Berlin, Germany
  • Mu-Chun Su, National Central University, Taiwan
  • Reza Tourani, Saint Louis University, USA
  • Marco Vieira, University of Coimbra, Portugal
  • Yingwei Wang, University of Prince Edward Island, Canada
  • Demetris Zeinalipour, University of Cyprus, Cyprus
  • Steffen Zeuch, DFKI, Germany

Evaluation of Papers

To verify the originality of submissions, we will use Plagiarism Detection Tools to check the content of the submitted manuscripts against previous publications.

Papers will be evaluated according to the following aspects:

  • Relevance to the Workshop
  • Novelty and practical impact
  • Technical soundness
  • Appropriateness and adequacy of:
    • Literature review
    • Background discussion
    • Analysis of issues
  • Presentation, including:
    • Overall organization and structure
    • Correctness of English language
    • Readability

Accepted Papers

  • Dongzhu Rong, Yan Wang, Qindong Sun:
    Video Source Forensics for IoT Devices based on Convolutional Neural Networks
    Publication
  • Jonathan Fuerst, Bin Cheng, Benjamin Hebgen:
    Realizing the Digital Twin Transition for Smart Cities
    Publication
  • Giuseppe Loseto, Filippo Gramegna, Agnese Pinto, Michele Ruta, Floriano Scioscia:
    A Mobile and Web platform for crowdsourcing OBD-II vehicle data
    Publication
  • Dimitrios Giouroukis, Johannes Jestram, Steffen Zeuch, Volker Markl:
    Streaming Data through the IoT via Actor-Based Semantic Routing Trees
    Publication
  • Xenofon Chatziliadis, Eleni Tzirita Zacharatou, Steffen Zeuch, Volker Markl:
    Monitoring of Stream Processing Engines Beyond the Cloud: an Overview
    Publication
  • Osmel Martínez Rosabal, Onel L. Alcaráz López, Hirley Alves, Richard Demo Souza, Samuel Montejo-Sánchez:
    Massive Wireless Energy Transfer with Multiple Power Beacons for very large Internet of Things
    Publication
  • Thamires C. Luz, Cíntia B. Margi, Fabio L. Verdi:
    Network Metrics Detection to support Internet of Things Application Orchestration
    Publication
  • Tiago Cariolano, Flavia Delicato, Paulo Pires:
    Data-Centric Edge Federation: A Multi-edgeArchitecture for Data Stream Processing of IoTApplications
    Publication
  • Suat Mercan, Kemal Akkaya:
    Building Next Generation IoT Infrastructure for Enabling M2M Crypto Economy
    Publication

Program

This schedule is preliminary and subject to change e.g. for aligning purposes with other workshop's breaks. Times are according to CEST.

Keynotes

Time Type Description
9:00: welcome Workshop Chairs:
Short Welcome (Fifth Edition of the Very Large Internet of Things Workshop (VLIoT))
Editorial
9:02: keynote Jiannong Cao (The Hong Kong Polytechnic University):
Future Edge Computing – Towards Distributed Intelligence for AIoT Applications
Bio: Dr. Cao is the Otto Poon Charitable Foundation Professor in Data Science and the Chair Professor of Distributed and Mobile Computing in the Department of Computing at The Hong Kong Polytechnic University. He is the director of the Internet and Mobile Computing Lab and the associate director of University’s Research Facility in Big Data Analytics. He served the department head from 2011 to 2017.

Dr. Cao’s research interests include parallel and distributed computing, wireless networking and mobile computing, big data and machine learning, and cloud and edge computing. He published 5 co-authored and 9 co-edited books, and over 500 papers in major international journals and conference proceedings. He also obtained 13 patents. Dr. Cao received many awards for his outstanding research achievements. He is a member of Academia Europaea, a fellow of IEEE and a distinguished member of ACM. In 2017, he received the Overseas Outstanding Contribution Award from China Computer Federation.

For details, visit https://www4.comp.polyu.edu.hk/~csjcao/.
Abstract: The emerging advanced IoT applications in connected healthcare, industrial internet, multi-robot systems, and other areas demand higher intelligence of the connected devices, larger scale of the systems, and better decision making leveraged by analyzing the data being continuously generated and the advancement of AI technologies. In this context, centralized cloud computing would face high data transmission cost, high response time, and data privacy issues. The edge cloud paradigm seeks to alleviate these inefficiencies by moving the computation and analytics tasks closer to the end devices. It facilitates the evolution of IoT from instrumentation and interconnection to distributed intelligence. This talk focuses on future collaborative edge computing where edge nodes share data and computation resources and perform tasks by leveraging distributed intelligence. It covers the major problems in distributed collaboration at the edge we are currently studying, namely collaborative task execution, distributed machine learning, and distributed autonomous cooperation. Solutions need to address the challenging issues such as distributed data sources, conflicting network flows, heterogeneous devices, consistency, and mutual influence during the training.
10:00: break Break

Paper Presentations 1

Time Type Description
10:30: paper Dongzhu Rong, Yan Wang, Qindong Sun:
Video Source Forensics for IoT Devices based on Convolutional Neural Networks
Publication
10:52: paper Jonathan Fuerst, Bin Cheng, Benjamin Hebgen:
Realizing the Digital Twin Transition for Smart Cities
Publication
11:15: paper Giuseppe Loseto, Filippo Gramegna, Agnese Pinto, Michele Ruta, Floriano Scioscia:
A Mobile and Web platform for crowdsourcing OBD-II vehicle data
Publication
11:37: paper Dimitrios Giouroukis, Johannes Jestram, Steffen Zeuch, Volker Markl:
Streaming Data through the IoT via Actor-Based Semantic Routing Trees
Publication
12:00: lunch Break

Keynotes

Time Type Description
13:00: keynote Nicola Dragoni (Technical University of Denmark):
The Dark Side of IoT: The Internet of Hackable Things
Bio: Nicola Dragoni is Professor in Secure Pervasive Computing at DTU Compute, Technical University of Denmark, where he also serves as Head of the DTU Center for Digital Security (DIGISEC) and Deputy Head of the DTU Compute’s PhD School. Nicola Dragoni received the M.Sc. (cum laude) and Ph.D. degrees in computer science from the University of Bologna, Italy. His main research interests centre around pervasive computing and security, with latest focus on Internet-of-Things, Fog/Edge computing and mobile systems. He has co-authored 120+ peer-reviewed scientific papers in international journals and conference proceedings. He has edited 3 journal special issues and 1 book. He has been active in a number of national and international projects.

For details, visit http://people.compute.dtu.dk/ndra.

Abstract: The rise of connectivity, digitalization and robotics, combined with the race for bringing artificial intelligence into every aspect of our daily life, is rapidly changing our society and shaping its future development. In particular, the Internet of Things (IoT) revolution is creating a world in which everyday objects are connected to the Internet, making computing pervasive like never before. In this technological and societal revolution, cybersecurity has been too neglected: from a security and privacy perspective, a tsunami of connectivity may represent a potential disaster, as each object becomes inherently remotely hackable and, as a consequence, controllable by malicious actors.

This keynote will give a security perspective on the ongoing Internet of Things revolution, showing how hackers can control our life if we don’t take security seriously into consideration. The keynote will be driven by a large number of examples of real-life IoT devices from different domains, such as smart manufacturing, smart cities, smart living, smart medical systems, and robotics. Emphasis on the key role of education and research to fill the cybersecurity cultural gap will be given as an urgent call to (cyber) arms.

14:00: break Break

Paper Presentations 2

Time Type Description
14:30: paper Xenofon Chatziliadis, Eleni Tzirita Zacharatou, Steffen Zeuch, Volker Markl:
Monitoring of Stream Processing Engines Beyond the Cloud: an Overview
Publication
14:52: paper Osmel Martínez Rosabal, Onel L. Alcaráz López, Hirley Alves, Richard Demo Souza, Samuel Montejo-Sánchez:
Massive Wireless Energy Transfer with Multiple Power Beacons for very large Internet of Things
Publication
15:15: paper Thamires C. Luz, Cíntia B. Margi, Fabio L. Verdi:
Network Metrics Detection to support Internet of Things Application Orchestration
Publication
15:37: paper Tiago Cariolano, Flavia Delicato, Paulo Pires:
Data-Centric Edge Federation: A Multi-edgeArchitecture for Data Stream Processing of IoTApplications
Publication
16:00: paper Suat Mercan, Kemal Akkaya:
Building Next Generation IoT Infrastructure for Enabling M2M Crypto Economy
Publication
16:22: break End of Workshop

Manuscript Preparation

Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum.

Accepted papers will be published online in the Open Journal of Internet of Things (OJIOT). OJIOT is an open access journal, and the proceedings will hence be highly visible to all interested readers.

Manuscripts should be submitted electronically as PDF files using this webpage and be formatted using the word or latex templates of the Open Journal of Internet of Things (OJIOT). Research papers as well as experiments and analysis papers should have between 6 and 15 pages, application papers between 6 and 12 pages and vision papers between 4 and 12 pages.

It is expected that at least one author of an accepted paper registers to the workshop and presents the contributions. Additionally an open-access publication fee of 98 Euro (special rate) is to be paid for each accepted paper to the publisher of Open Journal of Internet of Things (OJIOT).

Submission to International Workshop on Very Large Internet of Things (VLIoT 2021)

Please submit your manuscript by carefully filling in the information in the following web form. If there are technical problems, you may also submit your manuscript by sending the information and the manuscript to .

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Editions

Please use the following links for further information on the edition of the given year of the International Workshop on Very Large Internet of Things (VLIoT):