First International Workshop on the
Internet of Things Data Analytics (IoTDA)
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.
- 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
Nov 3, 2018: Due date for full workshop paper submissions Nov 9, 2018: Notification of paper acceptance to authors
- Nov 20, 2018: Camera-ready of accepted papers (firm date)
- Dec 11, 2018: Workshop Full Day
- Eyhab Al-Masri (University of Washington, USA)
- Yan Bai (University of Washington, USA)
Program Committee Members:
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).
- Long Papers: 6 pages (research at a mature stage)
- Short/Work-in-Progress Papers: 4 pages (early or intermediate stage)
Submission Formatting Instructions: Submissions should be formatted according IEEE Computer Society Proceedings Manuscript Formatting Guidelines.
- 8.5" x 11" Word template ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc
- 8.5" x 11" PDF template ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf
- LaTex Formatting Macros ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.zip
Paper Submission Link:
- Please submit your paper via this link (select IoTDA 2018).
- 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.