Preface

Abstract

Intelligent computing is usually defined as advanced computing methods and techniques based on classical computational intelligence, artificial intelligence, and intelligent agents. On the other hand, large-scale distributed systems such as grids, peer-to-peer and ad hoc networks, and clouds enable the aggregation and sharing of geographically-distributed resources from different organization with distinct owners, administrators, and policies. With the advent of large-scale distributed systems, where efficient inter-domain operation is one of the most important features, it is arguably required to investigate novel methods and techniques to enable secure access to data and resources, personalization of the distributed and gathered information, efficient scheduling, self-adaptation, decentralization, and self-organization. The concepts of computing, data and information processing and multichannel visualization in intelligent large-scale distributed systems bring together the results from various research and application areas, making a positive impact on the development of new system architectures, routing and communication protocols and system management technologies. This issue encompass eleven research papers reporting the recent findings, applications and developments of intelligent models and management, optimization and visualization techniques in modern large-scale scalable distributed environments. (...)