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PerFlow 2020 : International Workshop on Pervasive Information Flow


When Mar 23, 2020 - Mar 23, 2020
Where Austin, Texas, USA
Submission Deadline Dec 2, 2019
Notification Due Dec 22, 2019
Final Version Due Jan 31, 2019
Categories    mobile computing   pervasive computing   ubiquitous computing

Call For Papers

PerFlow 2020 Call for Papers

The 2020 International Workshop on Pervasive Flow of Things (PerFlow 2020)

23 March 2020

In conjunction with:

The 18th IEEE International Conference on Pervasive Computing and Communications (PerCom 2020)

Internet of Things (IoT) has been attracting attention due to its economic impact and high expectations for drastically changing our societies. Trillion-scale IoT devices including sensors and actuators are being installed in “things” such as machines, humans, vehicles, buildings, and environments. At the same time, we are facing research challenges on how to effectively, timely and integratedly handle these over trillion information flows gushed from massive devices and/or heterogeneous pervasive systems.

The 2020 International Workshop on Pervasive Information Flow (PerFlow 2020) aims to present and discuss research challenges, design/implementations of new architectures, and experiences on timely/real-time utilization of massive information flows (or data streams) as well as interoperability, integration and coordination among different pervasive systems possibly with different paradigms and from different epochs.

We solicit technical papers describing original, previously unpublished research, not currently under review by another conference or journal. Submissions should clearly identify how they relate to issues on the information flow of things. Contributions describing an overall working system and reporting real-world deployment experiences are particularly of interest. Topics of this workshop include, but are not limited to:

IoT Device Collaboration and Orchestration
Mobile Data Offloading
Data Analysis on IoT Devices
Data Collection via Crowdsensing etc.
Machine Learning for Data Stream
Edge and Fog Computing
Remote Sensing and Monitoring
Security and Privacy Issues in Pervasive Systems
Network Architecture/Protocols/Middleware for Pervasive Systems
Security and Privacy Issues in Pervasive Systems
Integration of Services/Protocols/Devices for Pervasive Systems
Interoperability and Interdependence of Heterogeneous Pervasive Systems
Quality of Service and Energy-Efficiency of Pervasive Systems

Paper Submission

Submitted papers must be original contributions that are unpublished and are not currently under consideration for publication by other venues. Submissions are limited to a maximum length of 6 pages and must adhere to IEEE format (2 column, 10 pt font, see below)

Papers can be submitted via the following EDAS submission portal for PerFlow 2020.

Each accepted workshop paper requires a full PerCom registration (no registration is available for workshops only). Workshop papers will be included and indexed in the IEEE digital libraries (Xplore).

Important Dates

Paper Submission Deadline: December 2, 2019
Author Notification: December 22, 2019
Camera-ready Due: January 16, 2020 (Tentative)
Workshop Date: March 23, 2020


Workshop Organizers & Program Co-Chairs

Keiichi Yasumoto (NAIST, Japan)
Hirozumi Yamaguchi (Osaka University, Japan)
Christian Becker (University of Mannheim, Germany)

TPC Members

Carsten Griwodz Simula Research Laboratory
Takahiro Hara Osaka University
Teruo Higashino Osaka University
Vana Kalogeraki Athens University of Economics and Business
Yuka KatoTokyo Woman's Christian University
Gen Kitagata Tohoku University
Philippe Lalanda Grenoble University
Spyros Lalis University of Thesally
Hiroshi Mineno Shizuoka University
Archan Misra Singapore Management University
Amy Murphy Fondazione Bruno Kessler
Katsuhiro Naito Aichi Institute of Technology
Masahide Nakamura Kobe University
Yasuo Okabe Kyoto University
Paul S. Pang Unitec Institute of Technology
Gregor Schiele University of Duisburg-Essen
Hiroshi Shigeno Keio University
Na Yu Samsung Research America

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