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CBD 2019 : The Seventh International Conference on Advanced Cloud and Big Data

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Link: http://cbd2019.scst.suda.edu.cn
 
When Sep 21, 2019 - Sep 22, 2019
Where Suzhou, China
Submission Deadline Jun 10, 2019
Notification Due Jul 10, 2019
Final Version Due Aug 5, 2019
Categories    cloud computing   big data   distributed computing   computer networks
 

Call For Papers

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The Seventh International Conference on Advanced Cloud and Big Data (CBD 2019)
September 21-22, 2019, Suzhou, China
Website: http://cbd2019.scst.suda.edu.cn
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Publication
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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 Concurrency and Computation: Practice and Experience(SCI), Tsinghua Science and Technology(SCI), Big Data Mining and Analytics(IEEE), etc.

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Important Dates:
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- Paper submission deadline: Jun 10, 2019 (Extended)
- Notification of acceptance: July 10, 2019
- Camera ready due: August 5 , 2019
- Registration due: August 5, 2019

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Scope and Topics
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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

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Paper Submission
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Submitted manuscripts must be formatted in standard IEEE US Letter Format: http://www.ieee.org/conferences_events/conferences/publishing/templates.html and must be submitted via EasyChair (https://easychair.org/conferences/?conf=cbd2019) 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.

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General Conference Co-Chairs
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- Fanzhang Li, Soochow University, China
- Junzhou Luo, Southeast University, China
- Yi Pan, Georgia State University, USA
- Laurence T. Yang, St. Francis Xavier University, Canada

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Program Committee Co-Chairs
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- Xiaohua Jia, City University of Hongkong, China
- Qiaoming Zhu, Soochow University, China
- Fang Dong, Southeast University, China

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International Steering Committee
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- Junzhou Luo, Southeast University, China
- Yi Pan, Georgia State University, USA
- Laurence T. Yang, St. Francis Xavier University, Canada


FOR MORE INFORMATION about the conference, organizing committee, submission instructions, and venue please visit the conference website: http://cbd2019.scst.suda.edu.cn

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