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 26th IEEE International Conference on Scalable Computing and Communications (ScalCom 2026) 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 We welcome high-quality papers that describe original and unpublished research advancing the state of the art in scalable communication & networks.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 of Interest

The topics include (but are not limited to):

Parallel and Distributed Programming Models and Tools
Cloud and Edge Infrastructure Management
Large-Scale Heterogeneous Computing Systems
Scalable Cloud, Edge, and Serverless Architectures
Distributed Data Management Systems
High-Performance and Scalable Networking
Scalability Solutions for IoT and Cyber-Physical Systems
Energy-Efficient Scalable Computing and Communication
Scalable Machine Learning and AI Algorithms
Efficient Large-Scale AI Training and Inference
Resource Management for AI and Data-Intensive Workloads
Security and Privacy in Scalable Computing and AI Systems