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This book presents a collection of contributions addressing recent advances and research in synergistic combinations of topics in the joint fields of intelligent computing and distributed computing. It focuses on the following specific topics: distributed data mining and machine learning, reasoning and decision-making in distributed environments, distributed evolutionary algorithms, trust and reputation models for distributed systems, scheduling and resource allocation in distributed systems, intelligent multi-agent systems, advanced agent-based and service-based architectures, and Smart Cloud and Internet of Things (IoT) environments.
The book represents the combined peer-reviewed proceedings of the 11th International Symposium on Intelligent Distributed Computing (IDC 2017) and the 7th International Workshop on Applications of Software Agents (WASA 2017), both of which were held in Belgrade, Serbia from October 11 to 13, 2017.
List of contents
Part I: Distributed Algorithms and Optimization.- A Performance Analysis of Self-* Evolutionary Algorithms on Networks with Correlated Failures.- Spatially Structured Evolutionary Algorithms: Graph Degree, Population Size and Convergence Speed.- Heuristic of Anticipation for Fair Scheduling and Resource Allocation in Grid VOs.- On the Applications of Dijkstra's Shortest Path Algorithm in Software Defined Networks.- Part II: Reasoning and Decision Making in Distributed Environments.- Towards a Paraconsistent Approach to Actions in Distributed Information-Rich Environments.- A Modified Vickrey Auction with Regret Minimization for Uniform Alliance Decisions.- Lightweight Cooperative Self-Localization as Support to Traffic Regulation for Autonomous Car Driving.- A New Approach for Vertical Handover between LTE and WLAN Based on Fuzzy Logic and Graph Theory.- Part III: Multi-agent Systems.- Programming the Interaction Space Effectively with ReSpecTX.- Multi-Agent System to Design Next Generation of Airborne Platform.- A Drone-based Building Inspection System using Software-Agents.- Part IV: Data Analysis, Mining and Integration.- Connecting Social Media Data with Observed Hybrid Data for Environment Monitoring.- EUStress: a Human Behaviour Analysis System for Monitoring and Assessing Stress during Exams.- Post Sharing-based Credibility Network for Social Network.- Ontological Hybrid Storage for Security Data.- Part V: Machine Learning.- Wind Power Production Forecasting using Ant Colony Optimization and Extreme Learning Machines.- Convolutional Neural Networks for Four-Class Motor Imagery Data Classification.- Binary Classification of Images for Applications in Intelligent 3D Scanning.- Part VI: Internet of Things and Cloud Computing.- Context Aware Resource and Service Provisioning Management in Fog Computing Systems.- An Argumentative Approach to Smart Home Office Ambient Lighting.- A Recommender System Based on Hierarchical Clustering for Cloud e-Learning.- A Taxonomy of Anomalies in Distributed Cloud Systems: The CRI-Model.- Modeling and Analysis of IoT Energy Resource Exhaustion Attacks.- Part VII: Service-based Distributed Systems.- Service Discovery in Megascale Distributed Systems.- Context-Aware Access Control Model for Services Provided from Cloud Computing.- Reference Architecture for Self-Adaptive Microservice Systems.- Part VIII: WASA 2017 (7th Workshop on Applications of Software Agents).- Agent-Based Computing in the Internet of Things: a Survey.- Teaching, Learning and Assessment of Agents and Robotics in a Computer Science Curriculum.
About the author
Many children dream of becoming dancers, musicians, actors, and artists, but few have the opportunity, the skill, and the determination to live out those dreams. Rachel Isadora is the exception. When she was young, she wanted to be a ballerina--and she became one. And now she has firmly established herself in a second career as an artist with an impressive string of picture books, including Ben's Trumpet, a Caldecott Honor Book.
Born and raised in New York City, Rachel studied at the School of American Ballet (associated with the New York City Ballet) as a Ford Foundation scholarship student. She danced with the Boston Ballet until a foot injury forced her to consider another career: book illustration. "I had always drawn for my own entertainment," says Rachel, "but I'd never had any instruction, and I wasn't sure how to proceed. So I just took a collection of sketches-odds and ends on bits of paper-to the first editor who would see me. She suggested I do a book about what I knew best." The result was Max, published in 1976 and named an ALA Notable Book.
Since Max, Rachel has written and illustrated many other books, and has illustrated three books by her editor, Elizabeth Shub. When Rachel begins a new book, she first imagines the story through the pictures. I 'see' each illustration separately," she says. "I write a description of what I envision on each page; then I go over it with my editor and make revisions. Next I do the actual drawing, and finally I write the text."
Rachel Isadora lives in New York City with her two children. When she is not busy with her family, she spends most of her spare time drawing. "Work like this is a dancer's fantasy," she says. "Because ballet is so demanding, dancers' stage careers are short. They can only dream of going on and on forever. With art, I can go on and on, and for me it's the only work that compares in intensity and joy."
Summary
Presents recent research on intelligent distributed computing
Includes the scientific outcome of the 11th International Symposium on Intelligent Distributed Computing (IDC 2017), held from October 11 to 13, 2017 in Belgrade, Serbia
Written by leading experts in the field
