The International Workshop on Very Large Internet of Things (VLIoT 2022)

In conjunction with VLDB 2022

Important Message on Covid-19

We will run this workshop as pure online event.

Aims of the Workshop

An increasing number of real-world objects are becoming accessible and manageable through the Internet. According to IoT Analytics, the number of these devices is approximately 27 billion by 2025, 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

Diversity Considerations of the Program Committee

We have currently recruited 25 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 14 nations all over the world as shown also by the map below. While most PC members are from academia, we have 3 experts also from industry (12%). 6 of the PC members and chairs are women (24%).

Legend

Program committee members and chairs: 1  4

Program Committee Chairs

• Sven Groppe, University of Lübeck, Germany
• Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico
• Shui Yu, University of Technology Sydney, Australia

Program Committee

• Omar Boucelma, Aix-Marseille University, France
• 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
• San Murugesan, BRITE Professional Services, Australia
• Luis Muñoz, University of Cantabria, Spain
• Anne H. Ngu, Texas State University, USA
• Elaheh Pourabbas, National Research Council of Italy, Italy
• Igor Leão dos Santos, Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (CEFET-RJ), Brazil
• Sana Sellami, Aix-Marseille University, France
• 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

Program

In order to be more attractive for participants, we moved to one day earlier on Thursday, 8th September 2022. We offer a dense schedule considering local US and Europe timezones for our authors. We start early, such that participants in Sydney can watch the presentations in the evening (starting 9pm and ending 2:30am (+1d) Sydney time). Following times are according to CEST.
Paper Presentations (European authors)
Time	Type	Description
1pm (CEST):	 welcome	Workshop Chairs: Short Welcome (Sixth Edition of the Very Large Internet of Things Workshop (VLIoT)) Editorial
1:05pm (CEST):	 paper	Ariane Ziehn, Christian Mandel, Kathrin Stich, Rolf Dembinski, Karin Hochbaum, Steffen Zeuch, Volker Markl: IoT-PMA: Patient Health Monitoring in Medical IoT Ecosystems Publication
1:25pm (CEST):	 paper	Peter Baumann, Dimitar Misev: Space Cubes: Satellite On-Board Processing of Datacube Queries Publication
1:45pm (CEST):	 paper	Andrea Cimmino Arriaga, Raúl García Castro, Andrea Cimmino Arriaga: WoTHive: enabling syntactic and semantic discovery in the Web of Things Publication
2:05pm (CEST):	 paper	Simon Paasche, Sven Groppe: Generating SPARQL-Constraints for Consistency Checking in Industry 4.0 Scenarios Publication
2:25pm (CEST):	 break	Break
Keynote 1
Time	Type	Description
3pm (CEST):	 keynote	Yiran Chen (Duke University, USA): Large-scale, Heterogeneity-Aware and Trustworthy Federated Learning Bio: Yiran Chen received B.S (1998) and M.S. (2001) from Tsinghua University and Ph.D. (2005) from Purdue University. After five years in industry, he joined University of Pittsburgh in 2010 as Assistant Professor and then was promoted to Associate Professor with tenure in 2014, holding Bicentennial Alumni Faculty Fellow. He is now the Professor of the Department of Electrical and Computer Engineering at Duke University and serving as the director of the NSF AI Institute for Edge Computing Leveraging the Next-generation Networks (Athena), the NSF Industry–University Cooperative Research Center (IUCRC) for Alternative Sustainable and Intelligent Computing (ASIC), and the co-director of Duke Center for Computational Evolutionary Intelligence (DCEI). His group focuses on the research of new memory and storage systems, machine learning and neuromorphic computing, and mobile computing systems. Dr. Chen has published 1 book and about 500 technical publications and has been granted 96 US patents. He has served as the associate editor of more than a dozen international academic periodicals and served on the technical and organization committees of more than 60 international conferences. He is now serving as the Editor-in-Chief of the IEEE Circuits and Systems Magazine. He received eight best paper awards, one best poster award, and fourteen best paper nominations from reputable international conferences and workshops such as MICRO, KDD, DATE, SEC, etc. He received numerous awards for his technical contributions and professional services such as IEEE Computer Society Edward J. McCluskey Technical Achievement Award, ACM SIGDA Service Award, etc. He is a Fellow of the ACM and IEEE and now serves as the chair of ACM SIGDA. Abstract: Federated learning has become a popular distributed machine learning paradigm for developing on-device AI applications. In Very Large Internet of Things (VLIoT) scenarios, the data residing across devices is intrinsically statistically heterogeneous (i.e., non-IID data distribution), and edge devices usually have limited communication bandwidth to transfer local updates. Such statistical heterogeneity and communication limitation are two major bottlenecks that hinder applying large-scale federated learning in practice. In addition, recent works have demonstrated that sharing model updates makes federated learning vulnerable to inference attacks and model poisoning attacks. In this talk, we will present our recent works on novel federated learning frameworks to address the scalability and heterogeneity issues simultaneously. In addition, we will reveal the essential cause of the adversarial vulnerability and privacy leakage in federated learning and provide the defense mechanisms accordingly towards trustworthy federated learning. Slides
4pm (CEST):	 break	Break
Paper Presentations (US authors)
Time	Type	Description
4:15pm (CEST):	 paper	Juan Leon , Yacoub Hanna, Kemal Akkaya: Development and Evaluation of a Publish/Subscribe IoT Data Sharing Model with LoRaWAN Publication
4:35pm (CEST):	 paper	Peng Yuan, Lu-An Tang, Haifeng Chen, Moto Sato, Kevin Woodward: 3D Histogram based Anomaly Detection for Categorical Sensor Data in Internet of Things Publication
4:55pm (CEST):	 paper	Ahmed Khaled, Rousol Al Goboori: IoT Hub as a Service (HaaS): Data-Oriented Environment for Interactive Smart Spaces Publication
5:15pm (CEST):	 break	Break
Keynote 2
Time	Type	Description
5:30pm (CEST):	 keynote	Ian F. Akyildiz (Truva Inc, USA): Hologram-Type Communication: A New Challenge for the Next Decade Bio: I.F. Akyildiz (Life Fellow, IEEE) received the B.S., M.S., and Ph.D. degrees in Electrical and Computer Engineering from the University of Erlangen–Nürnberg, Germany, in 1978, 1981, and 1984, respectively. He is also Founder and President of the Truva Inc., a consulting company based in Georgia, USA, since 1989. He is an Advisory Board member at the Technology Innovation Institute (TII) Abu Dhabi, United Arab Emirates, since June 2020. He is the Founder and the Editor-in-Chief of the newly established of International Telecommunication Union Journal on Future and Evolving Technologies (ITU J-FET) since August 2020. He served as the Ken Byers Chair Professor in Telecommunications, the Past Chair of the Telecom Group at the ECE, and the Director of the Broadband Wireless Networking Laboratory, Georgia Institute of Technology, from 1985 to 2020. He had many international affiliations during his career and established research centers in Spain, South Africa, Finland, Saudi Arabia, Germany, Russia, India and Cyprus. Dr. Akyildiz is an IEEE Fellow since 1996, and ACM Fellow since 1997. He received numerous awards from IEEE, ACM, and other professional organizations, including Humboldt Award from Germany and Tubitak Award from Turkey. In June 2022, according to Google Scholar his h-index is 133 and the total number of citations to his articles is more than 134+K. His current research interests include Networking 2030, Hologram and Extended Reality Communication, 6G/7G wireless systems, Terahertz Communication, Underwater Communication. Abstract: Holographic Type Communication (HTC) has been identified as an important service that will be supported by 6G wireless systems. It provides truly immersive experiences for a large number of novel applications, such as telepresence conferences and holographic healthcare, by displaying multi view high resolution 3D holograms of human beings or objects and creating multi sensory media (Mulsemedia), including audio, haptic, smell, and taste. HTC will play an important role in realizing Metaverse by connecting the physical and virtual world seamlessly. HTC faces great challenges in transmitting high volume data with high throughput and guaranteed end to end latency which cannot be addressed by existing communication technologies. In this talk, the basics and generic architecture of the HTC systems are introduced. The encoding and decoding of hologram and mulsemedia are discussed, and envisioned use cases and technical requirements are introduced. Furthermore, the limitations of existing wireless and wired networks in realizing HTC are explained and the promising 6G and beyond networking technologies are pointed out. Particularly, on the HTC source side, the point cloud encoding and mulsemedia synchronization solutions are introduced and explained. On the HTC networking side, many new directions and according challenges such as semantic communications, deterministic networks, time sensitive networks, federated networks, distributed encoding and decoding, and predictive networks are covered as they may help to satisfy the high data rate and guaranteed end to end latency requirements of the HTC. On the HTC destination side, the heterogeneity of HTC devices, synchronization, and user motion prediction are explored and according research challenges are highlighted. Slides
6:30pm (CEST):	 break	Break

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 2022)

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 .

Contact Program Chairs

Editions

• 2017
• 2018
• 2019
• 2020
• 2021
• 2022