ICPADS 2022
Date: Dec 13, 2022 6:00 pm – Dec 16, 2022 6:00 am
Location: Nanjing, China
IEEE International Conference on Parallel and Distributed Systems (ICPADS)
Established in 1992, ICPADS has been a major international forum for scientists, practitioners and users to exchange and share their wisdom, experiences, new ideas, and the latest research results on every aspects of parallel and distributed systems. The 28th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2022) will be held in Nanjing in December 2022. Nanjing, P. R. China.
Original and unpublished contributions are solicited in all areas of parallel and distributed systems research and applications. Topics of interest include, but are not limited to the following areas:
- Theory and Protocols Tracks
- Internet of Things & Cyber-Physical Systems Track
- Wireless Sensing & Mobile Computing Track
- Big Data & Machine Learning System Track
- Cloud & Edge Track
- High-Performance Computing & Architecture Track
- System and Applied Data Science Track
- Security & Blockchain Track
- Data Center & Serverless Computing Track
Submitted by Anonymous
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Date: Dec 13, 2022 6:00 pm – Dec 16, 2022 6:00 am
Location: Nanjing, China
IEEE International Conference on Parallel and Distributed Systems (ICPADS)
Established in 1992, ICPADS has been a major international forum for scientists, practitioners and users to exchange and share their wisdom, experiences, new ideas, and the latest research results on every aspects of parallel and distributed systems. The 28th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2022) will be held in Nanjing in December 2022. Nanjing, P. R. China.
Original and unpublished contributions are solicited in all areas of parallel and distributed systems research and applications. Topics of interest include, but are not limited to the following areas:
- Theory and Protocols Tracks
- Internet of Things & Cyber-Physical Systems Track
- Wireless Sensing & Mobile Computing Track
- Big Data & Machine Learning System Track
- Cloud & Edge Track
- High-Performance Computing & Architecture Track
- System and Applied Data Science Track
- Security & Blockchain Track
- Data Center & Serverless Computing Track
Submitted by Anonymous
on