International Conference on Algorithms and Architectures for Parallel Processing, Guangzhou, China

Abbrevation

ICA3PP

Link

http://nsclab.org/ica3pp2018/index.html

City

Guangzhou

Country

China

Deadline Paper

2018-05-30

Start Date

2018-11-15

End Date

2018-11-17

Abstract

ICA3PP 2018 is the 18th 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 aspects 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, and Helsinki, ICA3PP 2018 will be held in Guangzhou, China. The objective of ICA3PP 2018 is to bring together researchers and practitioners from academia, industry and governments to advance the theories and technologies in parallel and distributed computing. ICA3PP 2018 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 2018 will be organized by Guangzhou University, China. 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 Workshop 1: Intelligent Algorithms for Large–scale Complex Optimization Problems – Theory And Practice Of Large–scale Optimization – Large–scale Networks And Optimization Problems – Real–world Large–scale Optimization and Design – Large–scale Structural Optimization – Multi/Many–objective Optimization – Large–scale Complex Optimizations and Parallel Implementations Workshop 2: Security and Privacy in Data Processing – Big Data Security and Privacy – Security and Privacy in Parallel and Distributed Computing Architecture – Privacy Preserving in Outsourced and Distributed Computing – Data Provenance – Securing and Privacy in Real Time Data Processing – Secure Distributed Data Processing Framework – Granular Access Control And Auditing – Privacy Protection For Non–Rational Data