8th International Conference on Big Data and Computing (ICBDC 2023)
Part of the International Conference on Big Data and Computing (ICBDC) series →Recurring
Previous editions (1)
About & call for papers
★Call for paper★ Topics of interest include, but are not limited to: Algorithmic, experimental, prototyping and implementation Big Data Algorithms, Applications and Services Big Data Mining and Analytics Cloud and Big Data for Internet of Things (IoT) Computin… Read more
★Call for paper★ Topics of interest include, but are not limited to: Algorithmic, experimental, prototyping and implementation Big Data Algorithms, Applications and Services Big Data Mining and Analytics Cloud and Big Data for Internet of Things (IoT) Computing, scheduling and resource management for sustainability Government and Industrial Experiences for Cloud and Big Data Green Computing and Networking Technologies for Cloud and Big Data Software Engineering for Cloud Computing and Big Data Software, hardware and algorithm co-design, high-performance computing Data-driven innovation, computational modelling and data integration Data intensive computing theorems and technologies Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS For details about topics, please visit at http://www.icbdc.org/cfp.html ★ Publication Accepted papers will be published in the International Conference Proceedings Series by ACM (ISBN: 978-1-4503-9997-5), which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science). ★Submission★ 1. Full paper (publication and presentation) 2. Abstract (presentation only) For full paper and abstract, please upload it to the Electronic Submission System (.pdf) (http://confsys.iconf.org/submission/icbdc2023) Send your enquiry to [email protected] More details about submission, please visit at http://www.icbdc.org/author.html#sub ★★Contact Ms. Echo Yang (Conference Secretary) E-mail: [email protected] Tel: 18081079313;+86-28-86256789 (office time 9:30 - 18:00, Time zone: GMT+8 | Monday to Friday)
Venue
3688 Nanhai Ave, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518060
Shenzhen, China
Open Shenzhen University, China in maps ↗The address is as the organizer gave it, and it is not checked against a map.
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