Big Data lies at the center of modern science and technology, with major advances in analyzing & learning from Big Data concurrently reshaping human knowledge, society, and economy. The overwhelming amounts of data generated in many applications (fundamental sciences, cyber-physical systems, smart cities, sensor networks, and many more) alongside the urge for fast and effective handling and decision-making, in real-time, pose a number of significant challenges on the underlying system design and methods.

The 10th International Conference on Big Data Computing and Communications (BigCom2024), which is to be held on August 9 – 11, 2024 in Dalian, China. The conference aims to attract researchers and practitioners with interest in the theme of Big Data, in its broadest sense: analytics, management, security and privacy, communications and networking, and high-performance computing. We welcome original, unpublished research papers that emphasize theoretical foundations, architecture design, modeling, algorithmic methodologies, and data-driven applications and management in science and engineering. We also welcome visionary papers on new and emerging topics, such as Metaverse, Digital Twin, Generative AI, and etc.

We welcome high quality papers that describe original and unpublished research advancing the state of the art in big data and communications. Topics for submissions include but not limited to the following.

Track 1. Architecture and Systems for Big Data

    Architecture for Big Data Processing, Storage, and Visualization
    Storage, and Parallel Processing Systems for Big Data
    Resource Management, Scheduling, and Caching Systems for Big Data
    Architecture and Systems for Big Data Applications

Track 2. Algorithms for Big Data

    Mathematical Modeling for Efficient Big Data Management
    Combinatorial Optimization Algorithms in Big Data Processing
    Application of Deep Learning Algorithms in Big Data
    Parallel and Distributed Algorithms for High-Performance Big Data System
    Streaming Algorithms for Big Data Security and Privacy Protection

Track 3. AI for Big Data

    Al models and algorithms such as large language models, neural networks
    AI for Multi-modality data processing techniques such as text, image, time series, graph, audio
    AI for big data applications such as healthcare, e-commerce, finance, education, etc.

Track 4. Security and Privacy for Big Data

    Privacy & Security in Artificial Intelligence
    Privacy & Security in Mobile and Wireless Communications
    Privacy and Security in Big Data
    Privacy and Security in Large Model

Track 5. Communication and Networking for Big Data

    Intelligent Networking for Big Data
    Data-driven Industrial Internet of Things
    Network Architecture for Big Data Systems
    Network Security for Big Data