International Conference on Big Data Engineering on July 24-26, 2024 in Xining, China

International Conference on Big Data Engineering on July 24-26, 2024 in Xining, China

BDE 2024 information:

1. BDE 2024 is co-sponsored by Qinghai Minzu University and China University of Mining and Technology.

2. Accepted papers will be published in the ACM international conference proceedings (ISBN: 979-8-4007-1785-7), which will be indexed by Ei Compendex and Scopus.

3. Prof. Mingfa Yao from Qinghai Minzu University in China will be Honorary Chair and Prof. Guoqing Jia from Qinghai Minzu University in China will be General Chair.

Prof. Yum Tak-Shing (IEEE Fellow) from The Chinese University of Hong Kong in China and Prof. Honghai Liu (IEEE Fellow) from HIT Shenzhen in China 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.

BDE 2020&2021&2022&2023 was held online.

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 conference proceedings (ISBN: 978-1-4503-8942-6) is archived in the ACM Digital Library on August 30, 2021 and have been indexed by Ei Compendex, Scopus on March 3, 2022.

BDE 2022 conference proceedings (ISBN: 978-1-4503-9563-2) is archived in the ACM Digital Library on July 20, 2022 and have been indexed by Ei Compendex, Scopus on August 16, 2022.

Conference Venue

Xining, China

Submission and Contact Methods

Submission Methods: https://www.zmeeting.org/submission/BDE2024

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/

Related Events