International Conference on Algorithms and Architectures for Parallel Processing, Melbourne, Australien

Abbrevation

ICA3PP

Link

http://nsclab.org/ica3pp2019/

City

Melbourne

Country

Australia

Deadline Paper

2019-06-24

Start Date

2019-12-09

End Date

2019-12-11

Abstract

19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2019) Melbourne, Australia, 9–11 Dec 2019 http://nsclab.org/ica3pp2019/ INTRODUCTION ============ I… 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. SCOPE AND TOPICS ================ 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