International Conference on Big Data Engineering BDE on May 26-28, 2022 in Beijing, China
- Short Name: BDE
- Event Type: Conference
- Presentation: Physical
- Website URL: http://www.bde.net/
- Program URL: http://www.bde.net/program.html
- Contact URL: http://www.bde.net/contact.html
- Contact E-mail: [email protected]
- Location: Beijing, China
- Date: May 26-28, 2022
- Final Submission: April 10, 2022
- Organization: ACMSC
- Conference Tags: software engineering software architecture software development big data big data analysis
BDE 2022 information:
1. BDE 2022 is supported by ACM Singapore Chapter.
2. Accepted papers will be published in the International Conference Proceedings ACM(ISBN: 978-1-4503-9563-2), which will be indexed by Ei Compendex and Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
3. Prof. Rajkumar Buyya from The University of Melbourne, Australia, Prof. Changxu Wu from Tsinghua University, China and Prof. Yao Liang from Purdue University School of Science&Indiana University Purdue University of USA will be the keynote speakers.
4. The history of BDE conference:
BDE 2019 received submissions from all over the world and was successfully held in Hong Kong during June 11-13, 2019. BDE 2019 conference proceedings (ISBN: 978-1-4503-6091-3) is archived in the ACM Digital Library on August 8, 2019 and have been indexed by Ei Compendex, Scopus on November 1, 2019.
Due to COVID-19 situation,BDE 2020 was held online during May 29-31, 2020. BDE 2020 conference proceedings (ISBN: 978-1-4503-7722-5) is archived in the ACM Digital Library on July 5, 2020 and have been indexed by Ei Compendex, Scopus on September 15, 2020.
BDE 2021 was held online during May 29-31, 2021. because of COVID-19 and the accepted papers will be published online soon.
Submission and Contact Methods
Submission Methods: https://www.zmeeting.org/submission/BDE2022
E-mail: [email protected]
Conference Specialist: Ms. Daisy Zheng
Cloud/Grid/Stream Computing for Big Data
High Performance/Parallel Computing Platforms for Big Data
Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
Energy-efficient Computing for Big Data
Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
Software Techniques and Architectures in Cloud/Grid/Stream Computing
Big Data Open Platforms
New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
Software Systems to Support Big Data Computing
Name: ACMSC
Website: http://www.acm-sg.org/
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