[AISWorld] The 5th IEEE International Conference on Cloud and Big Data Computing (IEEE CBDCom 2019)

Naercio Magaia ndmagaia at fc.ul.pt
Wed Dec 26 06:17:07 EST 2018

======================CALL FOR PAPERS==============================

The 5th IEEE International Conference on Cloud and Big Data Computing (IEEE CBDCom 2019)

                   Fukuoka, Japan, August 5-8, 2019


The IEEE International Conference on Cloud and Big Data Computing is a premier forum for researchers, practitioners and developers who are interested in cloud computing and big data to explore new ideas, techniques and tools, as well as to exchange experience. Besides the latest research achievements, the conference covers also innovative commercial data management systems, innovative commercial applications of cloud computing and big data technology, and experience in applying recent research advances to real-world problems.
IEEE CBDCom 2019 will be the fifth edition of the conference after the success of CBDCom 2015 in Beijing, CBDCom 2016 in Toulouse, CBDCom 2017 in San Francisco, and CBDCom 2018 in Guangzhou.  It will continuously offer a platform for researchers to exchange novel studies, discuss important issues and explore key challenges in innovative cloud and big data for smarter world.

IEEE CBDCom 2019 will be held on August 5-8, 2019, co-located with IEEE CyberSciTech 2019, IEEE DASC 2019 and IEEE PICom 2019, in Fukuoka, Japan.

Workshop/SS Proposal Due:               January 20th, 2019
Regular Paper Submission Due:   March 20th, 2019
Wksp/SS/Poster Paper Due:                April 20th, 2019
Authors Notification:                   May 25th, 2019
Camera-ready Submission:                June 20th, 2019
Conference:                                             August 5th-8th, 2019

The 2019 edition of IEEE CBDCom will be organized in research tracks. Topics of interest include, but are not limited to:

*Track 1 - Data Science & Analytics*
- Big Data Fundamentals & Novel Paradigms
- Big Data Algorithms, Applications & Services
- Big Data Mining & Analytics
- Big data Processing & Querying
- Big Data Visualization
- Big Data Computing & Recommendations

*Track 2 - Big Data Infrastructure & Management*
- Big Data Cloud, Grid, Stream Computing
- High Performance Platforms for Big Data
- NoSQL Data Stores & DB scalability
- Energy-Efficient Computing for Big Data
- Recommendation & Social Media Systems
- Big Data Availability & Reliability

*Track 3 - Big Data Tools & Applications*
- Complex Big Data Processing
- BD in Networks & Communications
- Big Data as a Service
- Data Warehousing over Big Data
- BD Machine & Deep Learning
- Innovative Applications & Experiences

*Track 4 - Cloud Management & Virtualization*
- Virtualization Technologies
- Cloud Computing Platforms
- Public, Private & Hybrid Clouds
- Green & Energy Management
- Cloudlet and Serverless Computing
- Resource Management, Storage & QoS

*Track 5 - Cloud/Big Data Security, Privacy & Trust*
- Security, Privacy & Reliability in Cloud & BD
- Dependable/Trustworthy Big Data Processing
- Security/Privacy/Trust as a Service
- Blockchain in Cloud and Big Data Application
- Cloud Attacks Detection and Prevention
- Ethic Issues in Cloud & Big Data

*Track 6 - Cloud/Big Data for IoT & Smart City*
- Smart Data & Smart Environments
- CBD for IoT & Cyber-Physical Systems
- RFID & Related Technologies for IoT
- M2M Communications and IoT
- IoT and Smart City Infrastructures
- Green Computing for Big Data & Smart City

Authors are invited to submit their original research work that has not previously been submitted or published in any other venue.
Papers should be prepared in IEEE CS Proceedings format.
IEEE formatting information:

- Proposals for organizing tutorials, workshops and special sessions need to be submitted to the Tutorials, Workshops and Special Sessions Chairs, respectively. A proposal should include title, theme, scope and main presenters/organizers.
- Research paper (6-8 pages) should explore a specific technology problem and propose a complete solution to it, with experimental results.
- Works-in-Progess (WIP) (4-6 pages) papers are expected to present either work currently in progress or less developed but highly innovative ideas.
- Demo/Poster papers (2-4 pages) must describe working systems and be related to CBDCom. These systems may be innovative prototype implementations or mature systems that use related technology.

Some papers originally submitted as full papers can be accepted as short papers or posters during the review process. In such cases, the authors will need to reduce the paper accordingly when preparing the camera-ready version. At least one of the authors of any accepted paper is requested to register and present the paper at the conference.
All accepted papers in the main tracks and workshops will be published in an IEEE Computer Society proceedings (EI indexed).

All accepted papers in the main tracks, workshops, special sessions and demos/posters will be published in an IEEE Computer Society proceedings, indexed by
- IEEE Xplore
- Scopus
- EI Engineering Index
- ACM Digital Library
- dblp
- Google Scholar

Extended version of the selected papers will be considered for publication in special issues of prestige journals (SCI/EI indexed).

Organizing Committees
Honorary Chairs
Hamido Fujita, University, Japan
Frank Hsu, Fordam University, USA

General Chairs
Anna Kobusińska, Poznań University of Technology, Poland
Peng Li, The University of Aizu, Japan

General Executive Chairs
Bernady O. Apduhan, Kyushu Sangyo University, Japan
Paulo Pires, Federal University of Rio de Janeiro, Brazil
Rachid Benlamri, Lakehead University, Canada

Program Chairs
Shu Tao, IBM T. J. Watson Research Center, USA
Xiaoyan Wang, Ibaraki University, Japan

Track 1. Big Data Science and Analytics
Burak Kantarci, University of Ottawa, Canada

Track 2. Big Data Infrastructure and Management
Hao Wang, Norwegian University of Science & Technology, Norway

Track 3. Big Data Tools and Applications
Dionisis Margaris, University of Athens, Greece

Track 4. Cloud Management, Virtualization and Service
Tsozen Yeh, Fu Jen Catholic University, Taiwan

Track 5. Cloud/Big Data Security, Privacy and Trust
Haiying (Helen) Shen, University of Virginia, USA

Track 6. Cloud/Big Data for IoT and Smart City
Zhi Liu, Shizuoka University, Japan

Workshop Chairs
Yue-Shan Chang, National Taipei University, Taiwan
Shengli Pan, China University of Geoscience, China

International Liaison & Publicity Chairs
Naercio Magaia, University of Lisbon, Portugal
Carlos Westphall, Federal University of Santa Catarina, Brazil
Samia Bouzefrance, CNAM, France
Michał Boroń, Poznań University of Technology, Poland
Kai Cheng, Kyushu Sangyo University, Japan

Advisory Committee
Georges Da Costa, lRIT, France
Christophe Cerin, University of Paris XIII, France
Jerry Gao, San Jose State University, USA
Andrzej Gościński, Deakin University, Australia
Carson K. Leung, University of Manitoba, Canada
Jie Li, Shanghai Jiaotong University, China
Kuan-Ching Li, Providence University, Taiwan
Fuhua Oscar Lin, Athabasca University, Canada
Yinglong Xia, Huawei Research America, USA
Weishan Zhang, China Univ. of Petroleum, China
Hong Zhu, Oxford Brookes University, UK

Steering Committee
Jianhua Ma, Hosei University, Japan
Laurence T. Yang, SFX University, Canada
Huansheng Ning, Univ. Sci and Tech Beijing, China
Julien Bourgeois, UBFC, France
Mazin Yousif, T-Systems International, USA
Albert Zomaya, University of Sydney, Australia

Please visit the IEEE CDBCom 2019 website http://cyber-science.org/2019/cbdcom/
for the complete listing of organizing committee and TPC members.

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