Conference Information
ICPADS 2020: International Conference on Parallel and Distributed Systems
https://icpads2020.comp.polyu.edu.hk/
Submission Date:
2020-07-15
Notification Date:
2020-09-15
Conference Date:
2020-12-02
Location:
Hong Kong, China
Years:
26
CCF: c   CORE: b   QUALIS: b1   Viewed: 63282   Tracked: 173   Attend: 42

Conference Location
Call For Papers
ICPADS 2020 provides an international forum for scientists, engineers and users to exchange and share their experiences, new ideas, and latest research results on all aspects of parallel and distributed systems. Contributions are solicited in all areas of parallel and distributed systems research and applications.

Tracks and Topics

Algorithm Track

    Algorithms for resource allocation
    Algorithms for network optimization
    Algorithms for parallel and distributed computing systems
    Algorithms for distributed control systems
    Algorithms for information security and privacy
    Algorithms for artificial intelligence
    Algorithms for energy efficient computing and communications
    Algorithms for big data
    Algorithms for cloud computing
    Algorithms for databases and information retrieval
    Algorithms for quantum computing
    Algorithm analysis
    Experimental algorithmics
    Distributed/parallel algorithms and applicatio
    High-performance Computing

Application Track

    Edge Intelligence Applications
    Big Data Applications
    Smart City Applications
    High Performance Computational Biology and Bioinformatics
    Collective intelligence emerged from distributed systems
    Internet of Things Applications
    Distributed human-cyber-physical applications
    Distributed and Federated Machine Learning
    Blockchain applications
    Data Analytics
    Large-scale complex software systems
    Distributed Autonomous Robotic Systems
    Multi-agent learning algorithms and applications

Architecture Track

    Multi-core and Massively Parallel Computing Architectures
    Data Intensive Computing Architectures
    IoT, Mobile and Embedded Architectures
    Accelerator-based and Application-specific Architectures
    Architecture Support for Dependability, Reliability and Security

Performance Track

    Performance Modeling and analysis of Parallel or Distributed Computing
    Design and experimental evaluation of Parallel or Distributed Systems
    Simulation Models
    Analytical Models
    Measurement based Evaluation
    Experimental Study of Large-scale Infrastructure
    Innovations made in support of Performance Modeling and Evaluation

Security Track

    Access control
    Accounting and audit
    Applied cryptography
    Authentication
    Big data security and privacy
    Biometrics security
    Blockchain security and privacy
    Cloud computing security
    Computer forensics
    Cyber-physical system security
    Data and application security
    Embedded systems security
    Formal methods for security
    Hardware-based security and applications
    IoT security and privacy
    Key management
    Malware and botnets
    Mobile computing security
    Network security
    Operating system security
    Practical post-quantum security
    Privacy-enhancing technology
    Runtime attacks and defenses
    Secure computation
    Security architectures
    Security of critical infrastructures
    Security metrics
    Software security
    Threat modeling
    Trusted computing
    Usable security and privacy
    Web security
    Wireless security and privacy

System Track

    Distributed operating systems and middleware
    Distributed fault tolerance and dependability
    Cloud computing systems and data centers
    Edge computing systems
    Distributed big data systems and analytics
    Parallel and distributed file and storage systems
    Algorithms and theory for parallel and distributed systems
    Formal verification of distributed systems
    Blockchain systems
    Distributed and federated machine learning systems
Last updated by Dou Sun in 2020-05-13
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20122948729.6%
20093059129.8%
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