The 16th International Conference on Big Data and Cloud Computing (BDCloud 2026)
Kuala Lumpur, Malaysia
27 December 2026 – 02 January 2027
Important Dates
Workshop Proposal Due
15 August 2026
Regular Paper Due
30 September 2026 (AoE time)
15 October 2026 (AoE time)
Author Notification Due
30 October 2026
10 November 2026
Paper Registration Due
30 November 2026
Camera-ready Submission Due
30 November 2026
Conference Dates
27 December 2026 – 02 January 2027
Organizing Committee
General Chairs
Qun Jin, Waseda University, Japan
Wentong Cai, Nanyang Technological University, Singapore
Gautam Srivastava, Brandon University, Canada
Program Chairs
Hao Cai, St. Francis Xavier University, Canada
Shaojun Zou, Hainan University, China
Francesco Piccialli, University of Naples Federico II, Italy
Program Vice-Chairs
Huaxin Xu,Wuhan Institute of Technology,China
Publicity Chairs
Ruichen Cong, Waseda University, Japan
Publication Chairs
Yi Jiang, Hainan University, China
Web Chairs
Ren Li, Hainan University, China
Steering Committee
Jinjun Chen, Swinburne University of Technology, Australia
Laurence T. Yang, Zhengzhou University, China
Call For Papers
Big data refers to datasets that exceed the processing capabilities of traditional software tools, characterized by diverse sources (Variety), large scale (Volume), and high-speed generation (Velocity). Ensuring its value (Value) and reliability (Veracity) is essential for effective decision-making. Meanwhile, cloud computing has emerged as a key platform for delivering IT resources and infrastructure as services, enabling cost-effective, on-demand access through pay-as-you-go models, reducing the need for significant capital investment.
Topics of BDCloud 2026 include but are not limited to the following areas:
- Track 1: Cloud Computing Theory & Application – Fundamentals of cloud computing
- Track 2: Cloud & Artificial Intelligence – AI-driven cloud services & operations
– Provisioning/pricing cloud models
– Data storage in cloud computing
– Resource scheduling in cloud computing
– Fault tolerance and reliability in cloud computing
– Access control to cloud computing
– Monitoring and auditing in cloud
– Use of cloud to improve AI deployment
– Predictive analysis and federated learning
– Automation for remediation & mitigation
– Observability and transparency
– Edge AI systems and applications
– Cloud infrastructure for LLM
- Track 3: Data Privacy, Security, and Compliance – Encryption algorithms and secure communication
- Track 4: Big Data Mining & Analytics – Big data visualization
– Homomorphic encryption
– Data anonymization and de-identification
– Access control and identity authentication
– Defense mechanisms in cloud system
– Security auditing and risk assessment
– Privacy-preserving machine learning and AI models
– Big data mining and analytics on cloud
– Scalability of machine learning models
– Distributed and federated datasets
– Big data scheduling and optimization
– Real-time data stream analysis
– Big data applications
Paper Submission
All papers need to be submitted electronically through the conference submission website (EDAS) in PDF format at https://edas.info/N35628. Each paper is limited to 8 pages (or 10 pages with over-length charge) for a regular full paper, 6 pages (or 8 pages with over-length charge) for a short paper, including figures and references, using the Computer Society Proceedings manuscripts style (two columns, single-spaced, font size 10). Pages must be US letter size (8.5 by 11 inches) or A4 size (210 x 297 mm). The PDF issues generate warnings: obsolete type-3 fonts. These PDF issues prevent upload: fonts not embedded, scanned image, conversion to text failed and encrypted file.
Paper Publication
Papers accepted by the BDCloud 2026 conference will be published by the Computer Society Press. All accepted papers will be submitted to Xplore and EI. Distinguished papers presented at the conference, afterfurther revision, will be invited for submission to a special issue.
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