BDE 2022

BDE 2022
Logo of BDE 2022
2022 4th International Conference on Big Data Engineering (BDE 2022)
Ordinal	4rd "rd" can not be assigned to a declared number type with value 4.
Dates	2022/05/26 (iCal) - 2022/05/28
Homepage:	http://www.bde.net/
Location
Location:	Beijing, Beijing, China
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Important dates
Submissions:	2022/01/05
Table of Contents

Conference Website: http://www.bde.net/

BDE 2022 information: 1. BDE 2022 is supported by ACM Singapore Chapter. 2. Accepted papers will be published in the International Conference Proceedings, 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.

Conference Venue Beijing, China

Submission and Contact Methods E-mail: bde.conference@gmail.com Conference Specialist: Ms. Daisy Zheng

BDE 2022 can provide a better platform for academic communication in research and development, professional practice in Big Data Engineering For more conference information, please visit the conference website.

Call for Papers Big Data Science and Foundations Novel Theoretical Models for Big Data New Computational Models for Big Data Data and Information Quality for Big Data New Data Standards

Big Data Infrastructure 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

Big Data Management Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Big Data Search Architectures, Scalability and Efficiency Data Acquisition, Integration, Cleaning, and Best Practices ....