8th International Symposium on Intelligent Distributed Computing, IDC’2014
The emergent field of Intelligent Distributed Computing focuses on the development of a new generation of intelligent distributed systems. It faces the challenges of adapting and combining research in the fields of Intelligent Computing and Distributed Computing. Intelligent Computing develops methods and technology ranging from classical artificial intelligence, computational intelligence and multi-agent systems to game theory. The field of Distributed Computing develops methods and technology to build systems that are composed of interacting and collaborating components. The symposium welcomes submissions of original papers on all aspects of intelligent distributed computing ranging from concepts and theoretical developments to advanced technologies and innovative applications.
The 8th International Symposium on Intelligent Distributed Computing has a special interest in (but will not be limited to) novel architectures, systems and methods that facilitate distributed / parallel / multi-agent biocomputing for solving complex computational and real-life problems.
Symposium topics include, but are not limited to:
Intelligent Distributed and High-Performance Architectures
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 heterogeneous 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
