Call for Papers
The 2022 International Workshop on Pervasive Information Flow (PerFlow'22)
http://www.perflow.org/
March 21 or 25, 2022
Pisa, Italy
Co-located with IEEE PerCom 2022 (http://www.percom.org/)
* Call for Papers

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 various “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 flows (which we call Pervasive Flows) gushed from massive devices
or heterogeneous pervasive systems.
Based on the success of our previous workshops, IFoT 2016, PerFoT 2018 and
2019, and PerFlow 2020 and 2021, the sixth edition, the 2022 International
Workshop on Pervasive Information Flow (PerFlow 2022) aims to present and
discuss research challenges, design/implementations of new architectures,
and experiences on timely processing/distribution of pervasive flows. In
addition, interoperability, integration and coordination among different
applications, services and devices should be discussed for real- world
deployment of pervasive systems handling pervasive flows.


*Topics of the Workshop

We solicit technical papers describing original, previously unpublished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 pervasive
flows gushed from various 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
- Distributed Machine Learning for Pervasive Systems
- Federated Learning for Pervasive Systems
- 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

All paper submissions will be reviewed by at least two program committee
members. Papers must be in PDF format and must be submitted via the
submission site shown below. All submissions must describe original
research, not published or currently under review for another workshop,
conference, or journal.

Submitted papers should be at most 6 pages in the IEEE template (available
at https://www.ieee.org/conferences/publishing/templates.html). Papers can
be submitted via the following EDAS submission portal for PerFlow 2022.
https://edas.info/newPaper.php?c=29026&track=109110

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

- Submission Deadline: November 28, 2021 (Extended)
- Notification Date: January 5, 2022
- Camera-ready Due: February 5, 2022
- Registration: Same as the main conference (no workshop-only registration)

Program Chairs
  Keiichi Yasumoto, Nara Institute of Science and Technology, Japan
  Hirozumi Yamaguchi, Osaka University, Japan
  Christian Becker, University of Mannheim, Germany

Program Committee
  Carsten Griwodz, University of Oslo
  Teruo Higashino, Kyoto Tachibana University
  Yuka Kato, Tokyo Woman's Christian University
  Gen Kitagata, Tohoku University
  Philippe Lalanda, Grenoble University
  Spyros Lalis, University of Thesally
  Amy Murphy, Fondazione Bruno Kessler
  Katsuhiro Naito, Aichi Institute of Technology
  Masahide Nakamura, Kobe University
  Yasuo Okabe, Kyoto University
  Hiroshi Shigeno, Keio University
  Na Yu, Samsung Research America
  Hiroshi Mineno, Shizuoka University
  Takahiro Hara, Osaka University
  Jose Paolo Talusan, Nara Institute of Science and Technology

Web Chair
  Jose Paolo Talusan, Nara Institute of Science and Technology
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