Big Data & Cloud Computing
- Big data science and foundations, analytics, visualisation and semantics
- Software and tools for big data management
- Security, privacy and legal issues specific to big data
- Big data economy, QoS and business models
- Intelligence and scientific discovery
- Software, hardware and algorithm co-design, high-performance computing
- Large-scale recommendation systems and graph analysis
- Algorithmic, experimental, prototyping and implementation
- Data-driven innovation, computational modelling and data integration
- Data intensive computing theorems and technologies
- Modelling, simulation and performance evaluation
- Hardware and infrastructure, green data centres/environmental-friendly perspectives
- Computing, scheduling and resource management for sustainability
- Complex applications in areas where massive data is generated
- Architecting cloud computing with enabling technologies, such as Web services and semantic Web
- Cloud based industry applications, such as cloud based search, cloud based e-business and mobile commerce, wireless cloud
- Cloud computing economics including ROI, TCO, purchasing models, pricing models of cloud computing
- Cloud computing standards (such as those derived from OVF,)
- Cloud middleware and toolkits
- Cloud programming models, such as MapReduce/e.g., Hadoop, coordination for distributed computing/e.g., ZooKeeper, Web scale NOSQL database/e.g., Cassandra
- Cloud reference architectures and service models
- Cloud service management
- IaaS technologies, especially virtual technologies and their application in dynamic resource provisioning
- Interoperability among format of different virtual machines (e.g., VMware, Xen, KVM)
- Key characteristics of cloud programming, such as agility, cost, device and location independence, reliability, security, sustainability, scalability, and maintenance
- Method, model, and process for creating and deploying virtual images, defining the patterns and parts for application middleware and applications
- Monitoring and automatic scaling of cloud computing resources
- Open API and service orchestration on cloud platform
- Optimization, dynamic sharing and provisioning of virtual resources such as virtual machines, virtual storage, and VLAN
- Other cloud services (connectivity services, and persistence services, including NOSQL technologies)
- PaaS technologies, especially cloud platform management technologies including fast provisioning of complex topologies
- Practice of using open source cloud computing technologies
- SaaS technologies (such as multi-tenancy, management of applications and tenants in multi-tenant environment)
- Scientific, industrial and social implications of cloud computing
- Standards
- Technologies for green data centers (e.g., algorithms and technologies that could help save power in data centers)
- Technologies to support high availability, scalability, and caching to enhance runtime in cloud platform
- Theoretical model of cloud computing
- Workload characters and performance evaluation and modeling of cloud computing
Soft Computing & Machine Learning
- Fuzzy, Stochastic and Probabilistic computing
- Multi objective optimization
- Data Mining
- Neural computing
- Pattern recognition
- Expert Systems
- Soft Computing Fundamental and Optimization
- Soft Computing for Big Data Era
- GPU Computing for Machine Learning
- Soft Computing Modeling for Perception and Spiritual Intelligence
- Soft Computing and Agents Technology
- Soft Computing in Computer Graphics
- Soft Computing and Pattern Recognition
- Soft Computing in Biomimetic Pattern Recognition
- Data mining for Social Network Data
- Spatial Data Mining & Information Retrieva
- Intelligent Software Agent Systems and Architectures :: Advanced Soft Computing and Multi-Objective Evolutionary Computation
- Perception-Based Intelligent Decision Systems
- Spiritual-Based Intelligent Systems
- Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications
Digital Applications
- Computer applications in engineering and technology
- Computer control system design
- CAD/CAM, CAE, CIM and robotics
- Computer applications in knowledge-based and expert systems
- Computer applications in information technology and communication
- Computer-integrated material processing (CIMP)
- Computer-aided learning (CAL)
- Computer modelling and simulation
- Synthetic approach for engineering
- Man-machine interface
- Software engineering and management
- Management techniques and methods
- Human computer interaction
- Real-time systems
