December 17-20, 2022, Osaka, Japan
IoTDA Workshop will be held virtually online.
The Internet of Things (IoT) is not only about connecting billions of devices to the Internet, but also about connecting people, services, applications, businesses, infrastructures, among many others. What makes the IoT even more interesting is how data and technology can be blended together to build sustainable IoT Data Analytics (IoTDA) applications. With billions of devices embedded in environments, buildings, vehicles, or products continuously generating huge amounts of real-time data in many different formats, building sustainable IoTDA applications is becoming more challenging. One of the main hurdles is determining a suitable environment for processing IoT data. While it is envisioned that IoT applications would typically perform data processing on the cloud, a growing number of limitations in meeting applications’ demands is prompting researchers to investigate more efficient ways for processing data near IoT devices particularly for applications that require low-latency response.
With the growing number of IoT devices that have very limited computational abilities, the emergence micro-clouds (or fog nodes) near data sources to create sustainable IoTDA applications makes this very timely. This workshop will provide researchers and practitioners a venue to discuss possible new methods for building sustainable IoTDA applications and develop methods and techniques to investigate existing IoTDA limitations. In this context, the workshop’s ambition is to help in shaping a community of interest on the existing research opportunities and challenges resulting from performing data analytics for IoT applications. In addition, the workshop will help in bringing researchers and practitioners together to investigate innovative ideas or approaches to this new research challenge with main focus on developing sustainable IoTDA applications, foster collaborations and exchange points of view.
Distributed Intelligence for IoT Data Analytics
Heterogeneous IoT Data Analytics for Fog Computing
Data Quality Metrics for IoT Applications
Distributed Data Analytics in Fog Computing
Big Data IoT Applications (e.g. smart city, manufacturing, e-health, etc.)
Visual Analytics Algorithms for IoT Applications
Middleware for IoT Applications
Mobility and Context-Awareness for IoT Applications
Process Modelling for IoT Applications
Storage, Querying and Diffusion of IoT Data
Data Compression for Constrained IoT Devices
QoS Guarantee for IoT Applications
Privacy, Security and Trust Issues in IoT Applications
Recovery Schemes for IoT Applications
Internet of Things as a Service (IoTaaS)
IoT Data Centers' Data Analytics
IoT Management Capabilities for Data Centers
Edge Intelligence & Analytic Workloads
Nov 8, 2022 Due date for full workshop paper submissions (7:00PM AoE, 3:00AM EST, 12:00PM PST)
Nov 16, 2022: Notification of paper acceptance to authors
Nov 25, 2022: Camera-ready of accepted papers (firm date)
Dec 17-20, 2022: Workshop Day TBD
Chair:
Eyhab Al-Masri (University of Washington Tacoma, USA)
Yan Bai (University of Washington Tacoma, USA)
Chi-Hua Chen (Fuzhou University, China)
Alireza Souri (Haliç University)
Program Committee Members:
Vikas Agarwal (IBM Research)
Christian Beecks (University of Muenster)
Xuan-Hong Dang (IBM Research)
Mawaba Dao (Florida Institute of Technology)
Mohamed Hamdi (University of Toronto)
Ruksana Kabealo (Florida Institute of Technology)
Sergey Kanzhelev (Google)
Lauritz Thamsen (Technische Universitat Berlin)
Subarna Chatterjee (Harvard University)
Mena Olyan (University of Waterloo)
Mingzhe Chen (Princeton University)
We welcome contributions describing original ideas, experiments and applications relevant to the workshop theme which have not been published earlier or are not currently pending submission at any other venue. All submitted papers must include the names and affiliations of all authors. Submitted papers will be peer-reviewed by members of the Workshop Program Committee. All accepted papers will be included in the main conference proceedings (see Proceedings section below).
Submission Categories:
Long Papers: 6 pages (research at a mature stage)
Short/Work-in-Progress Papers: 4 pages (early or intermediate stage)
Paper Submission Link:
Templates:
https://www.ieee.org/conferences/publishing/templates.html
Camera Ready Instructions:
https://wi-lab.com/cyberchair/2022/bigdata22/scripts/BigData_2022_Camera_ready_instruction.php?subarea=S
Proceedings:
All papers accepted will be included in the IEEE Big Data Conference Proceedings published by the IEEE Computer Society Press. At least one author of each accepted paper must register for the conference and present the paper at the workshop for the paper to be included in the conference proceedings. Details on the registration will be posted on the main conference's page.
Excellent papers selected from IoTDA 2022 Workshop will be recommended to be published in an upcoming MDPI Sensors Journal (impact factor 3.847) Special Issue "Internet of Things Data Analytics (IoTDA)" (tentative deadline: March 28, 2023).