Conference Information
IDC' 2018: International Symposium on Intelligent Distributed Computing
Submission Date:
2018-05-01 Extended
Notification Date:
Conference Date:
Bilbao, Spain
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Call For Papers
The 12th International Symposium on Intelligent Distributed Computing (IDC 2018) will be held in October 2018 in Bilbao, Spain. The main goal of these series of symposiums is to gather researchers and practitioners to foster and ease rich discussions around the latest findings, research achievements and ideas in the area of Intelligent Distributed Computing. The IDC provides an open forum for enhancing the collaboration between researchers, lecturers, and students from Intelligent Computing and Distributing Computing communities. Intelligent Computing covers a hybrid palette of methods and techniques ranging from classical artificial intelligence, information sciences or computational intelligence to more recent trends such as swarm intelligence, bio-inspired computation, cloud computing or machine learning. Distributed Computing develops technologies and methods to build complex computational systems composed of collaborating software components spread over different computational elements. Recent trends on this field are Ephemeral Computing, Federated Learning or Swarm Robotics. Thus, the field of Intelligent Distributed Computing seeks for the design and implementation of new generation of intelligent distributed systems, adapting or hybridizing researches in both Intelligent Computing and Distributed Computing. IDC 2018 welcomes research works centered on all aspects of intelligent distributed computing, with an intention to balance between theoretical research ideas and their practicability as well as industrial applicability. To this end, scholars and practitioners from academia and industrial fields are invited to submit high-quality original contributions to IDC 2018. The structure of the symposium consists of regular sessions with technical contributions reviewed and selected by an international program committee, as well as of special sessions focused on multi-disciplinary and cutting-edge topics.

IDC 2018 has a special interest in novel architectures, systems and methods that facilitate distributed / parallel / multi-agent biocomputing for solving complex computational and real-life problems. The scope of this edition spans further to embrace recent paradigms in Distributed Computation. Symposium topics include, but are not limited to:
Intelligent Distributed and High-Performance Architectures

    Hybrid distributed systems involving software agents and human actors
    Intelligent grid and cloud infrastructures
    Agent-based wireless sensor networks
    Distributed frameworks and middleware for the Internet of Things
    GPU, multicore, and many-core intelligent computing
    Intelligent high-performance architectures
    Context-aware intelligent computing
    Virtualization infrastructures for intelligent computing
    Bio-inspired and nature-inspired distributed 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

Ehemeral and Unreliable computing

    Theory and applications of complex ephemeral or unreliable environments
    Design and deployment of ephemeral computing systems
    Application of Soft Computing methods on computational environments featuring ephemeral behavior (unreliability, dynamicity, and/or heterogeneity)
    Meta-heuristics for modeling and analyzing systems with ephemeral properties, such as social network dynamics, ephemeral clustering and pattern mining, ephemeral computational creativity or content generation.

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
    Big Data Processing

Networked Intelligence

    E-service and web intelligence
    Intelligence in mobile, ubiquitous and wearable computing
    Intelligence in peer-to-peer systems
    Intelligence in distributed and networked multimedia systems
    Security, privacy, trust and reputation

Parallel metaheuristics for optimization

    Global single-population master-slave, panmictic population GAs
    Single-population fine-grained GAs
    Multiple-population, multiple-deme, distributed, island based, coarse grained, GAs
    Evolutionary simulated annealing, Distributed Tabu Search
    Parallel Variable Neighborhood Search
    Swarm intelligence methods based on distributed knowledge sharing: bat algorithm, firefly algorithm, imperialist competitive algorithm, particle swarm optimization, ant colony optimization, artificial bee colony, golden ball, coral reefs optimization, water cycle algorithm, cuckoo search, harmony search...
    Hybridization of Swarm Intelligence techniques, Memetic Computing, Adaptive Swarm Intelligence methods
    Distributed Evolutionary Techniques, Cellular Evolutionary Algorithm, Hyper Heuristics
    Applications of swarm intelligence techniques for distributed or cooperative environments

Distributed swarm robotics systems

    Recent advances on Soft Computing methods for Robotics
    Novel applications of Swarm Robotics, with a priority on real-world scenarios
    New synergies between Swarm Intelligence and Swarm Robotics
    Coordination and control of Swarm Robotic Systems
    Applications of Swarm Intelligence for collaborative positioning and route optimization in robotic swarms
    Distributed inference in Swarm Robotics
    Self-organization in robotics enabled by Swarm Intelligence
    Nature inspired methods for data science and machine learning
    Recent advances on nature inspired methods for data science
    Novel applications of bio-inspired methods to data mining, with priority on real-world scenarios

Nature-inspired methods for supervised and unsupervised data mining

    Hybridizing bio-inspired methods with machine learning and data mining techniques
    Nature-inspired methods for feature selection and/or instance generation/selection
    Implementation of bio-inspired methods using Big Data technologies
    Federated learning: theory and applications

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, smart grid
    Modeling, simulation and development of intelligent distributed systems
    Simulation of groups and crowds
    Intelligent data processing
    Intelligent robots

Evaluation and Publication of Papers

The acceptance and publication of the submitted paper will be judged based on some aspects such the originality, relevance, clarity of presentation, accuracy of results and proposed solutions. Each paper will be reviewed by, at least, two members of the IDC 2018 international program committee. Every accepted paper will be included in the symposium proceedings, which will be published by Springer as part of their series Studies in Computational Intelligence, with a maximum extension of 10 pages. Submission and review processes will be done through the Easychair platform. At least one author of each accepted paper must be registered to the symposium. Additionally, each accepted paper must be presented during IDC 2018 by one of its authors. These two conditions are compulsory for the paper publication. Best papers presented in the conference will be selected for its extension and submission in SCI-indexed journals.
Last updated by Dou Sun in 2018-04-14
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