About ICA3PP 2022
ICA3PP 2022 is the 22nd in this series of conferences started in 1995 that are devoted to algorithms and architectures for parallel processing and computing. ICA3PP is now one of the most famous events of the world that covers the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. With the emerging demands of the computing systems and applications, the power of computing systems has been challenging all the time. In recent years, various of computing solutions such as parallel computing algorithms and architectures are proposed. ICA3PP aims to bring international academics and practitioners to exchange ideas and present research works for improving the efficiency, performance, reliability, security and interoperability of computing systems and applications.

Following the traditions of the previous successful ICA3PP conferences held in Xiamen, Hangzhou, Brisbane, Singapore, Melbourne, Hong Kong, Beijing, Cyprus, Taipei, Busan, Melbourne, Fukuoka, Vietri sul Mare, Dalian, Japan, Zhangjiajie, Granada, Helsinki, and Guangzhou. The main objective of ICA3PP is to bring together researchers and practitioners from academia, industry and governments to advance the theories and technologies in parallel and distributed computing. ICA3PP will focus on two broad areas of parallel and distributed computing, i.e. architectures, algorithms and networks, and systems and applications.

In this year, ICA3PP 2022 will be organized by Technical University of Denmark, Denmark.

Important Dates
Paper Submission Due 30 June 2022 (Firm!)
Author Notification 15 August 2022
Camera-ready Paper Due 30 August 2022
Author Registration Due 25 September 2022
Conference Date 10-12 Oct. 2022
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Topics of Interest
We invite submissions from academia, government, and industry presenting novel research on all aspects of information security and privacy primitives or protocols. Topics of ICA3PP include but are not limited to the following areas:

Track 1: Parallel and Distributed Architectures
Parallel Architectures
Parallel Programming Paradigms
Heterogeneous Systems
Service-Oriented Architectures

Track 2: Software Systems and Programming Models
Cluster, Distributed & Parallel Operating Systems and Middleware
Programming Models for Compute and Storage
Parallel File Systems and Storage
Parallel and Distributed Databases
Tools for Programming and Analysis of System Software

Track 3: Distributed and Network-based Computing
Mobile and Wireless Computing
Cloud, Grid, and Services Computing
Web and Internet Computing
Interconnection Networks
Network Simulations

Track 4: Big Data and its Applications
Architecture, Networks and Systems of Big Data
Big Data Applications, Algorithms and Data Structures
Research and Development Trends of Big Data
Big Data Benchmarking, Interoperability, Monitoring, Security, Privacy and Management
Distributed Data Analytics and Feature Extraction
Big Data Interoperability and Orchestration
Parallel Processing for Big Data

Track 5: Parallel and Distributed Algorithms
Reliability and Fault-tolerant Computing
High-performance Scientific Computing
Parallel and Distributed Algorithms
Resource Management and Scheduling

Track 6: Applications of Parallel and Distributed Computing
Multimedia in Parallel Computing
Parallel Computing in Bioinformatics
Parallel Machine Learning Algorithms
Industrial Applications

Track 7: Service Dependability and Security in Distributed and Parallel Systems
Dependability Issues in Computer Networks and Communications
Dependability Issues in Distributed and Parallel Systems
Dependability of Software Defined Networks
Self-healing, Self-protecting and Fault-tolerant Systems
Network and Information Security
Trust, Security and Privacy in Cloud computing, Social Networks, and Internet of Things

Track 8: Internet of Things and Cyber-Physical-Social Computing
Social Computing and Analytics on Cyber-Physical Data
Smart Communities with Cyber-Physical Systems
Ubiquitous Sensing in Social Networks
Building Social Life Networks
Pervasive/Ubiquitous Control, Computing and Networking
Cyber-Physical Systems and Networks
Cyber-Physical Social Applications and Case Studies

Track 9: Performance Modeling and Evaluation
Performance of Parallel & Distributed Computing Systems
Software and Hardware Reliability, Testing, Verification and Validation
Tools and Environments for Parallel & Distributed Software Development
Optimization, Modeling and Simulation
Stochastic Analysis, Statistical Analysis and Simulation
Data Collection and Analysis
Planning, Scheduling and Quality-of-Service
Game theory, Economics and Control Theory