DUE TO THE COVID 19 PANDEMIC, NETYS 2022 WILL RUN OFFLINE BASED ON PRE-RECORDED TALKS. NO REGISTRATION IS REQUIRED.
For the tenth consecutive year, NETYS (The International Conference on Networked Systems) aims to bring together researchers and engineers from both the theory and practice of distributed and networked systems. The scope of the conference covers all aspects related to the design and the development of these systems, including, but not restricted to cloud systems, formal verification, concurrent and distributed algorithms, data management, data science, parallel/concurrent/distributed programming, machine learning, multi-core architectures, networks, and security.
NETYS will provide a forum to report on best practices and novel algorithms, results and techniques on networked systems. Original research contributions and experience papers on the principles, design, implementation, modeling, analysis, verification, and application of networked systems are solicited.
Topics of interest include (but are not limited to):
● Cloud systems and data centers
● Parallel/concurrent/distributed algorithms and programming
● Cyber-physical systems
● Distributed database, embedded and operating systems
● Distributed ledgers and blockchain technologies
● Event-based systems
● Formal verification
● Internet of Things, 5G, URLLC
● Mobile, wireless, ad-hoc and sensor networks
● Game Theory, mechanisms design
● Overlay and peer-to-peer infrastructures
● Machine learning/ Decentralized machine learning
● Multi-core architectures and multithreaded applications
● Security and privacy
● Self-stabilizing, self-organizing, and autonomic systems
● Social networks
● Static and dynamic analysis and testing
● Collaborative intelligent systems
All deadlines are at 23:59 AoE
March 5th, 2022, March 19th, 2022
Abstract submission deadline
March 12th, 2022, March 26th, 2022
Paper submission deadline
May 4th, 2022, May 7th, 2022
May 10th, 2022, May 14th, 2022
Camera ready copy due
May 17th-19th, 2022
Revised selected papers will be published as a post-proceedings in Springer's LNCS "Lecture Notes in Computer Science"
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