-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] Fwd: CFP: IEEE IoT Journal Special Issue on Cloud/Fog/Edge-enabled Big Data Intelligence for IoE Datum: Tue, 30 Mar 2021 14:45:40 +0800 Von: Weishan Zhang drzhangws@gmail.com Antwort an: Weishan Zhang drzhangws@gmail.com An: tccc-announce@COMSOC.ORG

CFP: IEEE IoT Journal Special Issue on Cloud/Fog/Edge-enabled Big Data Intelligence for IoE

*IEEE IoT Journal Special Issue on*

*Cloud/Fog/Edge-enabled Big Data Intelligence for IoE*

Internet of Everything (IoE) are playing key roles to enable smart manufacturing, smart healthcare, and so on. Tremendous amount of data are accumulated continuously. Big data processing and analysis are playing increasingly important roles to make the world simpler, better, and smarter. In particular, intelligence extracted from data processing and analysis provides unprecedented opportunities for new wave of emerging applications. Meanwhile, it is well-known that big data processing and analysis require substantial computing and storage resources, which can be offered through cloud computing much easier than traditional IT. On the other hand, there arise lots of requirements on handling onsite data analysis for efficient response in e.g. unmanned vehicles, smart control of manufacturing and transportation, which can be enabled by fog/edge computing. As a result, we see huge potentials for cloud/fog/edge-based big data intelligence. Though some progress has been made in this area, there is still a need for more exploration of the cloud/fog/edge-based big data intelligence. This special issue aims to cover various aspects related to big data processing and analysis in conjunction with cloud/Fog/Edge computing for IoE, including the following topics, but are not limited to:

· Cloud/Fog/Edge- based analysis models and algorithms for big data from IoE

· Cloud/Fog/Edge-based big data mining platforms and tools for IoE

· Machine learning for Cloud/Fog/Edge-based big data analysis for IoE

· Intelligent big IoE data solutions based on Cloud/Fog/Edge- computing

· Cloud/Fog/Edge- based big social data mining and computing

· Urban big data computing assisted by Cloud/Fog/Edge computing

· Security and privacy of big data using Cloud/Fog/Edge computing in IoE

· Weaving ubiquitous IoT into Cloud/Fog/Edge for big data intelligence

· New applications for big data intelligence leveraging Cloud/Fog/Edge computing

*Important Dates*

Submission Deadline: July 15, 2021

First Review Due: September 30, 2021

Revision Due: November 15, 2021

Sec. Reviews Due/Notification: December 15, 2021

Final Manuscript Due: December 31 2021

Publication Date: 2022

*Guest Editors*

Weishan Zhang (zhangws@upc.edu.cn), China University of Petroleum (East China), China

Paolo Bellavista (paolo.bellavista@unibo.it), University of Bologna, Italy

Jiehan Zhou (jiehan.zhou@oulu.fi), University of Oulu, Finland

Chunsheng Zhu (chunsheng.tom.zhu@gmail.com), Southern University of Science&Technology, China

Liming Chen (liming.chen@dmu.ac.uk), De Montfort University http://www.dmu.ac.uk/home.aspx, UK

Mahmoud Daneshmand (mdaneshm@stevens.edu), Stevens Institute of Technology, US

*Submission Information* The original manuscripts to be submitted need to follow the guidelines described at: http://ieeeiotj.org/guidelines-for-authors/, which should not be concurrently submitted for publication in other venues. Authors should submit their manuscripts through the IEEE Manuscript Central at: https://mc.manuscriptcentral.com/iot. The authors must select as “SI: Cloud/Fog/Edge-enabled Big Data Intelligence for IoE” when they reach the “Article Type” step in the submission process.

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