Introduction to Workshop
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.

Research Topics
- 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

Important Dates
- Oct 25, 2020: Due date for full workshop paper submissions
- Nov 15, 2020: Notification of paper acceptance to authors
- Nov 20, 2020: Camera-ready of accepted papers (firm date)
- Dec 10-13, 2020: Workshop Day (TBD)

Workshop Team
Chairs:
- Eyhab Al-Masri (University of Washington Tacoma, USA)
- Chi-Hua Chen (Fuzhou University, China)

Program Committee Members:
- Vikas Agarwal (IBM Research)
- Christian Beecks (University of Muenster)
- Mingzhe Chen (Princeton University)
- Sergey Kanzhelev (Google)
- Amit A. Nanavati (IBM Research)
- Karan Raj (Amazon)
- Lauritz Thamsen (Technische Universitat Berlin)

For more information, please visit the workshop website: https://sites.google.com/view/iotda