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Intelligent Distributed Computing X : Proceedings of the 10th International Symposium on Intelligent Distributed Computing - IDC 2016, Paris, France, October 10-12 2016 - Costin Badica

Intelligent Distributed Computing X

Proceedings of the 10th International Symposium on Intelligent Distributed Computing - IDC 2016, Paris, France, October 10-12 2016

By: Costin Badica (Editor), Amal El Fallah Seghrouchni (Editor), Aurélie Beynier (Editor)

Hardcover | 8 October 2016

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Adaptive Scaling Up/Down for Elastic Clouds.-A Dynamic Model to enhance the Distributed Discovery of SWs in P2P Overlay Networks.- Simulation of Dynamic Systems Using BDI Agents: Initial Steps.-A Multi-Agent Middleware for the Deployment of Distributed Applications in Smart Environments.-

A Guidance of Ambient Agents Adapted to Opportunistic Situations Extended Context Patterns - A Visual Language for Context-Aware Applications.-MDE4IoT: Supporting the Internet of Things with Model-Driven Engineering.-Detection of traffic anomalies in multi-service networks based on a fuzzy logical inference.-Reconfiguration of RBAC schemes by genetic algorithms.-String-based Malware Detection for Android Environments.- Optimal Configuration Model of a Fleet of Unmanned Vehicles for Interoperable Missions .-Spatial Tuples: Augmenting Physical Reality with Tuple Spaces.- Exploring unknown environments with multi-modal locomotion swarm.- Group Trust: Finding Trust-based Group Structures in Social Communities .- Non-intrusive Monitoring of Attentional Behavior in Teams.- A Speculative Computation Approach for Conflict Styles Assessment with Incomplete Information.- Forming Classes in an e-Learning Social Network Scenario.-Scheduling Optimization in Grid with VO Stakeholders' Preferences.- On the Application of Bio-inspired Heuristics for Network Routing with Multiple QoS Constraints.-Dealing with the Best Attachment Problem via Heuristics.-Towards Collaborative Sensing using Dynamic Intelligent Virtual Sensors .-Intelligent Data Metrics for Urban Driving with Data Fusion and Distributed Machine Learning.-A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept.-Author Index.


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