Important Dates

Workshop/SS Proposal Due

April 15, 2024
June 15, 2024

(Extended)


Regular Paper Due

July 15, 2024
August 04, 2024

(Extended)


WiP/Workshop/SS Paper Due

July 15, 2024
August 20, 2024

(Extended)


Author Notification

September 15, 2024


Camera-Ready Submission

October 25, 2024


Conference Date

December 02-07, 2024

Sponsored and supported by

Call For Papers

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 24th IEEE International Conference on Scalable Computing and Communications (ScalCom 2024) 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 We welcome high quality papers that describe original and unpublished research advancing the state of the art in scalable communication & networks.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.

UIC 2024 topics include but are not limited to the following:

  • 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

Organizers:


IEEE Ethics Reporting

Copyright SWC-2024. Created and Maintained by SWC-2024 Web Team.