IDC 2012

Intelligent computing covers a hybrid palette of methods and techniques derived from classical artificial intelligence, computational intelligence, multi-agent systems a.o. Distributed computing studies systems that contain loosely-coupled components running on different networked computers and that communicate and coordinate their actions by message transfer. The emergent field of intelligent distributed computing is expected to pose special challenges of adaptation and fruitful combination of results of both areas with a great impact on the development of new generation intelligent distributed information systems. The aim of this symposium is to bring together researchers involved in intelligent distributed computing to allow cross-fertilization and synergy of ideas and to enable advancement of researches in the field.
The symposium welcomes submissions of original papers concerning all aspects of intelligent distributed computing ranging from concepts and theoretical developments to advanced technologies and innovative applications. Papers acceptance and publication will be judged based on their relevance to the symposium theme, clarity of presentation, originality and accuracy of results and proposed solutions.

• Intelligent Distributed and High-Perfomance Architecture
  • Hybrid systems involving software agents and human actors 
  • Intelligent cloud infrastructures 
  • Agent-based wireless sensor networks 
  • Distributed frameworks and middleware for the Internet of Things 
  • GPU, multicore, and many-core intelligent computing 
  • Intelligent grid 
  • Intelligent high-performance architectures 
  • Context-aware intelligent computing 
  • Virtualization infrastructures for intelligent computing 
• Organization and Management
  • Autonomic and adaptive distributed computing 
  • Intelligent service composition and orchestration 
  • Self-organizing and adaptive distributed systems 
  • Emerging behaviors in complex distributed systems 
  • Intelligent integration of heterogenous data and processes 
  • Methodologies for development of intelligent distributed systems and applications 
• Intelligent Distributed Knowledge Representation and Processing
  • Information extraction and retrieval in distributed environments 
  • Knowledge integration and fusion from distributed sources 
  • Data mining and knowledge discovery in distributed environments 
  • Semantic and knowledge grids 
  • Ontologies and meta-data for describing heterogeneous resources and services 
  • Distributed fusion of sensor data streams 
• Networked Intelligence
  • E-service and web intelligence 
  • Intelligence in mobile and ubiquitous computing 
  • Intelligence in Peer-to-Peer systems 
  • Intelligence in distributed multimedia systems 
  • Security, privacy, trust and reputation 
• Intelligent Distributed Applications
  • Distributed problem solving and decision making 
  • Intelligent applications in e-business/e-commerce, e-learning, e-health, e-science, e-government, crisis management 
  • Modeling and simulation of intelligent distributed systems 
  • Simulations of groups and crowds 
  • Intelligent data processing 
  • Intelligent robots