Paper Submission
Submitted manuscripts must be formatted in standard IEEE US Letter Format and must be submitted via EasyChair as PDF files. The review version is limited to 6 pages (IEEE proceedings format), including references and illustrations. Submitted papers should not be previously published in or be under consideration for publication in another conference or journal. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will attend the conference to present the paper.
Publication
All submitted papers will be reviewed by program committee members and selected based on their originality, significance, relevance, and clarity of presentation. Accepted papers will be all published by Conference Publishing Services (CPS) and will be submitted for indexing to EI (Compendex). Authors of selected papers will be invited to submit revised and expanded version of their papers to be considered for publication in special issues of well-known international journals such as Tsinghua Science and Technology(SCI), Big Data Mining and Analytics(IEEE), Web Intelligence etc.
Scope of Conference
The International Conference on Advanced Cloud and Big Data (CBD) provides a forum for both academics and practitioners working on cloud computing and big data technologies to explore new ideas, share their experiences and leverage each other’s perspectives. Besides the latest research achievements, this conference also covers cloud/big data industry practices and their broad applications, and gives all participants a chance to identify the new/emerging “hot” trends in these areas. We solicit original papers on a wide range of cloud computing and big data topics that can be divided into three tracks but are not limited to:
1. Research Track
Cloud Security and Privacy
Cloud Data Center Networking
Cloud Virtualization
Cloud Storage
Cloud Resource Management
Multi/Hybrid/Inter Cloud
Big Data Processing/Mining/Query
Cloud Workflow Scheduling
Cloud based AI /Deep Learning
Cloud based Industrial Internet
Edge Computing Architecture and Algorithm
Machine Learning and AI at Edge
2. Industry Track
Cloud Computing Solutions
Cloud Computing Specifications/Standards
Big Data in Economic Analytics
Big Data in Smart City/Home
Big Data in Industry Practices
3. Application Track
Industrial Internet
Mobile Edge Computing
Machine/Deep Learning
Social Networking
Knowledge Graph
Organizing & Program Committees
Honorable Chair
– Fabrizio Carmignani, University of Southern Queensland, Australia
General Chairs
– Jianming Yong, University of Southern Queensland, Australia
– Junzhou Luo, Southeast University, China
Program Committee Chairs
– Hongzhi Yin, University of Queensland, Australia
– Jun Shen, University of Wollongong, Australia
– Jinghui Zhang, Southeast University, China
– Xiaohui Tao, University of Southern Queensland, Australia
Local Organising Chair
– Xiaohui Tao, University of Southern Queensland, Australia
Industry Chair
– Xujuan Zhou, University of Southern Queensland, Australia
Application Chairs
– Jun Yan, University of Wollongong, Australia
– Huaming Chen, University of Sydney, Australia
Sponsorship Chair
– Mahdi Fahmideh, University of Southern Queensland, Australia
Publicity Chairs
– Taotao Cai, University of Southern Queensland, Australia
– Guowei Yang, University of Queensland, Australia
– Runqun Xiong, Southeast University, China
– Ding Ding, Southeast University, China
Publication Chairs
– Di Wu, University of Southern Queensland, Australia
– He Chen, Tsinghua University Press, China
– Jiahui Jin, Southeast University, China
International Steering Committee
– Junzhou Luo, Southeast University, China
– Yi Pan, Georgia State University, USA
– Laurence T. Yang, St. Francis Xavier University, Canada
Organized By
– University of Southern Queensland
– Southeast University
Co-Sponsored By
– IEEE Computer Society Technical Community on Intelligent Informatics
– Jiangsu Computer Society
– ACM Nanjing Chapter
– Tsinghua Science and Technology
Contact Us
Jinghui Zhang, Southeast University
Email: jhzhang@seu.edu.cn
Di Wu, University of Southern Queensland
Email: Di.Wu@unisq.edu.au