Introduction

Building on the success of past CANDAR symposiums held in various cities across Japan, including Matsuyama in 2013, Shizuoka in 2014, Sapporo in 2015, Hiroshima in 2016, Aomori in 2017, Takayama in 2018, Nagasaki in 2019, and virtual events in 2020 and 2021, as well as Himeji in 2022 and Matsue in 2023, CANDAR 2024 will take place in Naha, Okinawa, Japan. The CANDAR 2024 symposium aims to provide a platform for researchers and practitioners to share their latest findings and experiences in all aspects of computing and networking, ranging from theoretical research to practical system development, including parallel and distributed systems, algorithms, architectures, and applications. In addition to technical sessions featuring contributed papers, the symposium will also offer invited presentations, poster sessions, tutorials, and workshops. We are confident that participants will gain new insights and ideas related to computing and networking. CANDAR'24 will be held in Naha, Okinawa, Japan, from November 26 to 29, 2024.

We are delighted to announce that CANDAR 2024 will be held in person. Join us for stimulating discussions, networking opportunities, and the chance to present your latest research in the beautiful setting of Okinawa, Japan. We look forward to welcoming you to this engaging event where scholars from around the world will convene to exchange ideas and insights.

Publication

The main symposium Proceedings (CANDAR) and workshop Proceedings (CANDARW) will be published by the Conference Publishing Services (CPS) and will be submitted to IEEE Xplore and CSDL digital libraries for online publication. The papers will also be submitted for indexing by INSPEC, EI (Compendex), Thomson ISI, and other indexing services. The proceedings will be published in two separate volumes: CANDAR main symposium (CANDAR) and CANDAR workshops (CANDARW).

Tracks

Track A: 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 B: Computer Systems and Networks

    Computer System Related Topics
    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
    Computer Network Related Topics
    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 C: 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 D: 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