The Eighth International Symposium on Computing and Networking

Naha, Okinawa, Japan, November 24-27, 2020

Special announcement regarding COVID-19 situation

  • Due to the COVID-19 situation, CANDAR 2020 will be held virtually this year.
  • The review process will be conducted as in previous editions.
  • All accepted papers will be published on IEEE CPS as previous years.


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 CANDAR 2020 will be held in Naha, Okinawa, Japan. CANDAR 2020 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'20 will be held in Okinawa, Japan, from November 24-27, 2020.


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).


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
  • 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


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