Scalability is one of the key evaluation criteria of computing systems. High scalability represents a kind of elasticity, which can guarantee high throughput, small delay, and high performance. Scalable computing and communications are particularly crucial in fields such as artificial intelligence, big data processing, and scientific computing, where large-scale data processing or complex computational tasks are common. To boost scalability, it's vital to utilize supportive tools & platforms, and high-performance communications & networking technologies. Additionally, optimizing algorithms and models are essential for efficiently managing increasing workloads and data volumes. Moreover, with the development of AI large model technology, scalable intelligent computing systems are also very important for creating intelligent environments, services and applications.

The 25th IEEE International Conference on Scalable Computing and Communications (ScalCom 2025) will include a highly selective program of technical papers, panel discussions and keynote speeches. We welcome high quality papers that describe original and unpublished research advancing the state of the art in scalable communication & networks. Topics for submissions include but are not limited to the following theory, technology, and applications.

IEEE ScalCom 2025 Tracks and Topics

Track 1: Tools & Platforms for Supporting Scalability

    Parallel and Distributed Programming Tools
    Cloud Programming Tools
    Cloud Infrastructure Management
    Edge-Cloud Collaborative Computing Platforms
    Large-scale Heterogeneous Computing Systems
    Fault-tolerance in Large Scale Applications
    Scalable Serverless Systems
    Scalable Federated Computing
    Distributed Database
    Scalable Blockchain System

Track 2: Scalable Communication & Networks

    High-Performance Network Protocols for Scalability
    Scalability Solutions for Internet of Things (IoT) Networks
    Scalable Architectures for 5G/6G Networks
    Energy-Efficient and Scalable Wireless Communication Systems
    Machine Learning and AI for Network Optimization and Scalability
    Cross-Layer Design for Enhanced Scalability in Networks
    Security and Privacy in Scalable Networks

Track 3: Scalable Algorithms & Models

    Parallel & Distributed Programming Models
    Distributed Programming Models
    Edge-Cloud Collaborative Computing Models
    Scalable Machine Learning Algorithms
    Efficient Deep Learning Architectures for Scalability
    Efficient Algorithms for Distributed Data Storage and Retrieval
    Energy-Efficient Algorithms for Scalable Computing
    Scalable Algorithms for Real-Time Big Data Analytics
    Scalable Graph Processing Algorithms

Track 4: Scalability in Large-scale AI

    Cloud and Edge Computing for AI
    Parallel and Distributed Computing for AI
    Efficient Training Strategies for Large-Scale AI Models
    AI Model Compression and Quantization
    Energy-efficient Computing for Scalable AI
    Model and Data Parallelism
    Deploying Large Scale AI
    Resource Management for AI Workloads
    Security and Privacy in Scalable AI Systems
    Federated Learning for AI