International Conference on Algorithms and Architectures for Parallel Processing
摘要截稿:
全文截稿: 2019-06-24
开会时间: 2019-12-09
会议难度:
CCF分类: C类
会议地点: Melbourne, Australia
Overview
ICA3PP 2019 is the 19th in this series of conferences started in 1995 that are devoted to algorithms and architectures for parallel processing. ICA3PP is now recognized as the main regular event of the world that is covering the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated in every aspect of daily life, the power of computing system has become increasingly critical. This conference provides a forum for academics and practitioners from countries around the world to exchange ideas 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 Hangzhou, Brisbane, Singapore, Melbourne, Hong Kong, Beijing, Cyprus, Taipei, Busan, Melbourne, Fukuoka, Vietri sul Mare, Dalian, Japan, Zhangjiajie, Granada, Helsinki, and Guangzhou, ICA3PP 2019 will be held in Melbourne, Australia. The objective of ICA3PP 2019 is to bring together researchers and practitioners from academia, industry and governments to advance the theories and technologies in parallel and distributed computing. ICA3PP 2019 will focus on two broad areas of parallel and distributed computing, i.e. architectures, algorithms and networks, and systems and applications. The conference of ICA3PP 2019 will be organized by Swinburne University of Technology, Australia.
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 2018 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