-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: IEEE ACCESS special issue on "Cloud - Fog - Edge Computing in Cyber-Physical-Social Systems (CPSS)" Datum: Tue, 19 Nov 2019 10:36:22 +0800 Von: Xiaokang Wang wangxiaokang1002@163.COM Antwort an: Xiaokang Wang wangxiaokang1002@163.COM An: tccc-announce@COMSOC.ORG

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IEEE ACCESS special issue on "Cloud - Fog - Edge Computing in Cyber-Physical-Social Systems (CPSS)"

https://ieeeaccess.ieee.org/special-sections/cloud-fog-edge-computing-in-cyb...

Submission Deadline: 01 February 2020

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IEEE Access invites manuscript submissions in the area of Cloud – Fog – Edge Computing in Cyber-Physical-Social Systems (CPSS).

Cyber-Physical-Social Systems (CPSS) integrates the cyber, physical and social spaces together. One of the ultimate goals of cyber-physical-social systems (CPSS) is to make our lives more convenient and intelligent by providing prospective and personalized services for users. To achieve this goal, a wide range of data in CPSS are employed as the starting point for research, since the data contains the user’s historical behavior trajectory and the user’s demand preference. Generated and collected from social and physical spaces and integrated in the cyber space, CPSS data are complex and heterogeneous, recording all aspects of users’ lives in the forms of image, audio, video and text. Generally, the collected or generated data in CPSS satisfies 4Vs (volume, variety, velocity, and veracity) of big data. Thus, how to deal with CPSS big data efficiently is the key to provision services for users.

From another perspective, CPSS big data are specified as the global

historical data and the local real-time data. Cloud computing, as a powerful paradigm for implementing the data-intensive applications, has an irreplaceable role in processing global historical data. On the other hand, with the increasing computing capacity and communication capabilities of mobile terminal devices, fog-edge computing, as an important and effective supplement of cloud computing, has been widely used to process the local real-time data. Therefore, how to systematically and efficiently process the CPSS big data (including both the global historical data and the local real-time data) in CPSS has become the key for providing services in CPSS.

This Special Section in IEEE Access aims to share and discuss recent advances and future trends of Cloud-Fog-Edge Computing in CPSS, and to bring academic researchers and industry developers together. Articles on practical as well as on theoretical topics and problems about proximity services are invited.

The topics of interest include, but are not limited to:

•Cloud computing for big data processing in CPSS

•Big data management framework for CPSS in cloud-fog-edge environment

•Security and privacy issues for CPSS in fog/edge computing

•Computation offloading for edge computing in CPSS

•Dynamic resource provisioning for CPSS in cloud-fog-edge computing

•CPSS big data mining in cloud-fog-edge computing

•Service composition for CPSS in cloud-fog-edge computing

•Big data applications in CPSS

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

Associate Editor: Md Arafatur Rahman, University Malaysia Pahang, Malaysia

Guest Editors:

1.Zahir Tari, Royal Melbourne Institute of Technology University, Australia

2.Dakai Zhu, University of Texas at San Antonio, USA

3.Francesco Piccialli, University of Naples FEDERICO II, Italy

4.Xiaokang Wang, St. Francis Xavier University, Canada

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