Introduction

Following the success of past CANDAR symposiums 2013 in Matsuyama, 2014 in Shizuoka, 2015 in Sapporo, 2016 in Hiroshima, 2017 in Aomori, 2018 in Takayama, 2019 in Nagasaki, 2020 in virtual, CANDAR 2021 will be held in Matsue, Japan. CANDAR 2021 will serve as a forum for exchanging the latest findings and experiences ranging from theoretical research to practical system development in all aspects of computing and networking including parallel and distributed systems, algorithms, architectures, and applications. In addition to technical sessions consisting of contributed papers, the symposium will include invited presentations, poster sessions, tutorials, and workshops. We believe that participants will get new ideas and insight of computing and networking. CANDAR'21　will be held in Matsue, Shimane, Japan, from November 23-26, 2021.

Publication

The main symposium Proceedings (CANDAR) and workshop Proceedings (CANDARW) will be published by Conference Publishing Services (CPS) and submitted to IEEE Xplore and CSDL digital libraries. Also they are submitted for indexing through INSPEC, EI (Compendex), Thomson ISI, and other indexing services. They are published in two separated volumes: CANDAR main symposium (CANDAR) and CANDAR Workshops (CANDARW).

Tracks

Track1: Algorithms and Applications

    Randomized Algorithms and Probabilistic Methods
    Scientific Computing and Numeric Algorithms
    Approximation and Optimization Algorithms
    Image Processing and Computer Graphics
    Dependable Computing and Reliability
    Data Mining and Information Retrieval
    Real-time Systems and Applications
    Parallel and Distributed Algorithms
    Green Computing and Networking
    Stochastic Modeling and Analysis
    Software and System Verification
    Wired and Wireless Networking
    Performance Evaluation
    Multicore and Multithreaded Computing
    Scheduling and Load Balancing
    Theoretical Foundations for Big Data
    Cellular automata
    Unconventional computing (natural computing, complex systems, artificial life)

Track 2:Architecture and Computer System

    Processor Architectures
    Instruction, Thread, and Data-level Parallelism
    Multi/Many-core Architectures
    Power Efficient Architectures
    Accelerators
    Reconfigurable Architectures
    CUDA/GPGPU
    Network-on-chip
    Emerging Devices and Their Effect
    Embedded Systems
    Dependable Systems
    Parallel/High-performance Systems
    Application Specific Systems
    Storage Systems
    Architectures/Systems for Emerging Applications
    Edge Computing
    Near Data Processing
    Machine Learning Acceleration
    Software/Hardware Co-Design

Track 3: Networking and Grid

    Interconnection networks
    Ubiquitous computing systems
    Grid computing systems
    Resource allocation and management
    Cloud computing
    P2P networks
    Content delivery networks
    Wireless networks and mobile computing
    Ad-hoc and sensor networks
    Optical networks
    Access control and authorization
    Security protocols
    Cognitive Computing and Networking
    Opportunist Spectrum Allocation and Sensing
    QoS and Multimedia Computing
    Green Communications and Networking
    Vehicle Communications
    Network Architecture
    Network Algorithms and Performance Evaluation
    Network Software
    Future Internet and Internet of Things
    Self-Organizing Networks

Track 4: Artificial Intelligence and Software Engineering

    AI related topics
    Agent: Human agent interaction,Multiagent learning, Multiagent systems
    AI foundations and theories: Constraint satisfaction and optimization,Decision theory, Planning and scheduling, Reasoning
    Applications of AI: Economic/financial, Education and tutoring systems, Information filtering and recommendation
    Knowledge Engineering: Explainable AI, Knowledge based system, Knowledge representation, Ontology
    Machine Learning and Data Mining: Advanced learning methods including active/ensemble/evolutionary/semi-supervised learning, Classification, Clustering, Deep learning and neural networks, Reinforcement Learning, Time-series/stream data mining
    Natural Language Processing: Question answering, Speech and dialogue systems, Text summarization
    Web and networks: Semantic Web, Social network analysis, Web search and information retrieval
    Software Engineering related topics
    Service Engineering: Service Architecture, Web Engineering, CDN, Edge Computing and New Service Models
    Software Engineering: Software Development Models and Tools, Software Testing, Validation and Verification, Performance Evaluation
    Distributed Environment: Algorithms and Data Structures for Distributed Computing, Internet Engineering, IoT/Sensor-based Services, Blockchains
    System Software: Operating Systems, Virtual Machines, Frameworks, Software Tools, SDN
    Programming Language Systems: Programming Language Design, Script Languages Design and Implementation, Optimizations

Track 5: Information and Communication Security

    Authentication
    Block and Stream Ciphers
    Biometrics
    Cryptanalysis
    Cryptographic Protocols
    Digital Signatures
    Efficient Implementations
    Hash Functions
    Network Security
    Privacy Enhancement
    Public Key Cryptosystems
    System Security
    Usable Security