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
