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活动简介

ICA3PP 2017 is the 17th 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, and Granada, ICA3PP 2017 will be held in Helsinki, Finland. The objective of ICA3PP 2017 is to bring together researchers and practitioners from academia, industry and governments to advance the theories and technologies in parallel and distributed computing. ICA3PP 2017 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 2017 will be co-organized by Aalto University, Finlan and Xidian University, China.

征稿信息

重要日期

2017-04-15
初稿截稿日期
2017-06-01
初稿录用日期
2017-06-15
终稿截稿日期

征稿范围

Topics of interest include but are not limited to:

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

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重要日期
  • 会议日期

    08月21日

    2017

    08月23日

    2017

  • 04月15日 2017

    初稿截稿日期

  • 06月01日 2017

    初稿录用通知日期

  • 06月15日 2017

    终稿截稿日期

  • 08月23日 2017

    注册截止日期

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