Very Large Internet of Things (VLIoT 2020)

Workshop @ VLDB 2020

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International Workshop on
Very Large Internet of Things (VLIoT 2020)
in conjunction with the 2020 VLDB Conference in Tokyo, Japan
Call for Papers: txtUTF-8 txtASCII pdf

The International Workshop on Very Large Internet of Things (VLIoT 2020)

In conjunction with VLDB 2020

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 4, 2020
Notification: May 31, 2020
Workshop: September 4, 2020

Diversity Considerations of the Program Committee

We have currently recruited 31 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 13 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 (26%).

Legend

Program committee members and chairs: 1  6

Program Committee Chairs

Program Committee

  • 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
  • Abdelmajid Khelil, Landshut University of Applied Sciences, Germany
  • Jan Lindström, MariaDB Corporation, Finland
  • Riccardo Martoglia, University di Modena and Reggio Emilia, Italy
  • Luis Muñoz, University of Cantabria, Spain
  • Rahul Pandey, George Mason University, USA
  • Elaheh Pourabbas, National Research Council of Italy, Italy
  • Marco Vieira, University of Coimbra, Portugal
  • Yingwei Wang, University of Prince Edward Island, Canada
  • Demetris Zeinalipour, University of Cyprus, Cyprus
  • Ahmed Khaled, Northeastern Illinois University, USA
  • Sana Sellami, Aix-Marseille University, France
  • Omar Boucelma, Aix-Marseille University, France
  • Gowri Sankar Ramachandran, University of Southern California, USA
  • Arsenia Chorti, ETIS / University Paris Seine, University Cergy-Pontoise, ENSEA, CNRS France
  • Igor Leão dos Santos, Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (CEFET-RJ), Brazil
  • Flávia C. Delicato, Universidade Federal Fluminense (UFF), Brazil
  • Paulo F. Pires, Universidade Federal Fluminense (UFF), Brazil
  • Luis Sánchez, University of Cantabria, Spain
  • Reza Tourani, Saint Louis University, USA
  • Abderrahmen Mtibaa, University of Missouri-St. Louis, USA
  • San Murugesan, Western Sydney University, Australia
  • Anne H. Ngu, Texas State University, USA
  • Georgios Smaragdakis, TU Berlin, Germany
  • 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

  • Bo Ma, Jinsong Wu, Shuang Song, William Liu:
    Assuring Privacy-Preservation in Mining Medical Text Materials for COVID-19 Cases - A Natural Language Processing Perspective
    Publication
    Video
  • Van Long Nguyen Huu, Julien Lallet, Emmanuel Casseau, Laurent d'Orazio:
    MASCARA (ModulAr Semantic CAching fRAmework) towards FPGA acceleration for IoT Security monitoring
    Publication
    Video
  • Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng, Ernö Kovacs:
    Towards Knowledge Infusion for Robust and Transferable Machine Learning in IoT
    Publication
    Video
  • Michele Ruta, Floriano Scioscia:
    Information-centric Semantic Web of Things
    Publication
    Video
  • Andreas Heuer, Hannes Grunert:
    The Internet of Things as a Privacy-aware Database Machine
    Publication
    Video
  • Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Philipp M. Grulich, Dimitrios Giouroukis, Ariane Ziehn, Volker Markl:
    NebulaStream: Complex Analytics Beyond the Cloud
    Publication
    Video
  • Renan Cerqueira Afonso Alves, Cintia Borges Margi:
    Can you hear me? A metric for link asymmetry
    Publication
    Video
  • Aluizio Rocha Neto, Thiago P. Silva, Thais V. Batista, Flávia P. Delicato, Paulo F. Pires, Frederico Lopes:
    An Architecture for Distributed Video Stream Processing in IoMT Systems
    Publication
    Video
  • Gowri Sankar Ramachandran, Jeremy Stout, Joyce J. Edson, Bhaskar Krishnamachari:
    ParkingJSON: An Open Standard Format for Parking Data in Smart Cities
    Publication
    Video

Program

Streaming due to COVID-19, Times according to UTC (CEST)

Session 1/Block 1

Time Type Description
8:00 (10:00): welcome Workshop Chairs:
Short Welcome (Fourth Edition of the Very Large Internet of Things Workshop (VLIoT))
Editorial
8:05 (10:05): keynote Weizhi Meng (Technical University of Denmark (DTU)):
Towards Robust Collaborative Intrusion Detection with Trust Management in Internet of Things
Abstract: With the tremendous development of Internet of Things (IoT), many security concerns have been raised. For protection, collaborative Intrusion detection techniques (e.g., CIDS) are a basic and important solution. However, due to the distributed nature, insider threats are a big challenge that can compromise the IoT environments. Hence there is a great need to design appropriate trust management mechanisms to help identify malicious nodes by establishing a trust map. This keynote will introduce the background of collaborative intrusion detection in IoT networks, discuss the state-of-the-art on how to combine trust management with CIDS, and share our vision regarding how to build robust collaborative intrusion detection under large-scale IoT networks, and in the era of big data.
Bio: Weizhi Meng is currently an Assistant Professor in the Cyber Security Section, Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), Denmark. He obtained his Ph.D. degree in Computer Science from the City University of Hong Kong. Prior to joining DTU, he worked as a research scientist in Infocomm Security (ICS) Department, Institute for Infocomm Research, A*Star, Singapore. He received the Hong Kong Institution of Engineers (HKIE) Outstanding Paper Award for Young Engineers/Researchers in both 2014 and 2017, as well as several best paper awards from ACISP 2020, Inscrypt 2019, ISPEC 2018, etc. His primary research interests are cyber security and intelligent technology in security, including intrusion detection, IoT security, biometric authentication, trust management, and blockchain in security. He served as associate editors / editorial board members for several reputed journals, as well as PC chair for many international conferences including IEEE Blockchain 2018, IEEE ATC 2019, IFIPTM 2019, ICICS 2020, Globecom (CISS) 2020 and IEEE DSC 2021. He is the Chair of IEEE Young Professionals Affinity Group in Denmark. For more details, visit www.staff.dtu.dk/weme.
Video
9:00 (11:00): paper Bo Ma, Jinsong Wu, Shuang Song, William Liu:
Assuring Privacy-Preservation in Mining Medical Text Materials for COVID-19 Cases - A Natural Language Processing Perspective
Publication
Video
9:20 (11:20): paper Van Long Nguyen Huu, Julien Lallet, Emmanuel Casseau, Laurent d'Orazio:
MASCARA (ModulAr Semantic CAching fRAmework) towards FPGA acceleration for IoT Security monitoring
Publication
Video
9:40 (11:40): paper Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng, Ernö Kovacs:
Towards Knowledge Infusion for Robust and Transferable Machine Learning in IoT
Publication
Video
10:00 (12:00): break Coffee Break

Session 2/Block 1

Time Type Description
10:30 (12:30): paper Michele Ruta, Floriano Scioscia:
Information-centric Semantic Web of Things
Publication
Video
10:50 (12:50): paper Andreas Heuer, Hannes Grunert:
The Internet of Things as a Privacy-aware Database Machine
Publication
Video
11:10 (13:10): paper Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Philipp M. Grulich, Dimitrios Giouroukis, Ariane Ziehn, Volker Markl:
NebulaStream: Complex Analytics Beyond the Cloud
Publication
Video
11:30 (13:30): lunch Break

Session 3/Block 2

Time Type Description
15:00 (17:00): paper Renan Cerqueira Afonso Alves, Cintia Borges Margi:
Can you hear me? A metric for link asymmetry
Publication
Video
15:20 (17:20): paper Aluizio Rocha Neto, Thiago P. Silva, Thais V. Batista, Flávia P. Delicato, Paulo F. Pires, Frederico Lopes:
An Architecture for Distributed Video Stream Processing in IoMT Systems
Publication
Video
15:40 (17:40): paper Gowri Sankar Ramachandran, Jeremy Stout, Joyce J. Edson, Bhaskar Krishnamachari:
ParkingJSON: An Open Standard Format for Parking Data in Smart Cities
Publication
Video
16:00 (18:00): break End of Workshop

Program at VLDB Webpage

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 for each accepted paper is to be paid to the publisher of Open Journal of Internet of Things (OJIOT).

Submission

The submission is currently closed. Please check our Important Dates page.

Contact Program Chairs

Please contact us for any further information:

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):