Call for Papers

IEEE BigDataService 2026

• Conference Dates: July 27–30, 2026
• Location: Fukuoka, Japan (In-Person)
• Website: https://cisose.fit.ac.jp/bds
• Part of: CISOSE 2026 Congress

Important Dates

• Paper Submission Deadline: April 1, 2026
• Author Notification: May 20, 2026
• Camera-Ready Papers & Conference Registration: June 15, 2026
• Conference Dates: July 27–30, 2026

Conference Overview

As computing systems continue to grow in scale, complexity, and integration, Big Data technologies and services have become more critical than ever. IEEE BigDataService 2026 provides a premier international forum for researchers, practitioners, and industry experts to exchange cutting-edge ideas, present innovative research, and discuss real-world applications and challenges in Big Data technologies and services.

IEEE BigDataService 2026 will be held in person in Fukuoka, Japan, from July 27 to July 30, 2026, as part of the CISOSE 2026 Congress. The conference welcomes high-quality original contributions that advance the state of the art in Big Data analytics, systems, platforms, foundations, and applications.

Topics of Interest

Topics of interest include, but are not limited to, the following areas:

Big Data Analytics and Machine Learning

• Algorithms and systems for big data analytics
• Big data machine learning, predictive and causal analytics
• Visualization and visual analytics systems for big data
• Knowledge modeling, extraction, discovery, analysis, and presentation
• Big data business intelligence
• Optimization and agentic models for big data
• Artificial intelligence models at scale
• Large language models
• Neuro-symbolic approaches at large scale

Integrated and Distributed Systems

• Sensor networks
• Internet of Things (IoT) and Web of Things
• Networking and communication protocols
• Smart systems (e.g., energy efficiency systems, smart homes, smart farms)

Big Data Platforms and Technologies

• Innovative, concurrent, and scalable big data platforms
• Data indexing, cleaning, transformation, and curation technologies
• Big data processing frameworks and technologies
• Big data services and application development methods and tools
• Big data quality evaluation and assurance technologies
• System reliability, dependability, and availability for big data systems
• Open-source development and technologies for big data
• Big Data as a Service (BDaaS) platforms and technologies

Big Data Foundations

• Foundational theoretical or computational models for big data
• Programming models, theories, and algorithms for big data
• Standards, protocols, and quality assurance for big data

Big Data Applications and Experiences

• Innovative big data applications and services across domains such as healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, social networks, urban planning, disaster management, and security
• Experiences and case studies of big data applications and services
• Real-world and large-scale practices of big data systems

Submission Guidelines

All submissions must present original research and must not be under review or published in any other journal or conference. Papers should be prepared using the IEEE double-column format.

The conference invites submissions in the following categories: 

• Regular/Full Papers: Up to 8 pages
• Short Papers: Up to 5 pages
• Poster Papers: 2 pages

Submit papers here: https://easychair.org/conferences/?conf=ieeebds2006 

Proceedings

All accepted papers will be published in the IEEE BigDataService 2026 Proceedings and submitted for inclusion in the IEEE digital libraries.