Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the
"This book explores membrane computing in the context of the fast developing field of robotics and presents the fundamental concepts of decentralized control, local interaction, stigmergy, and emergin
This book focuses on computing devices and their design at various levels to combat variability. The authors provide a review of key concepts with particular emphasis on timing errors caused by
This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used&
This work examines the challenges of distributed map merging and localization in multi-robot systems, which enables robots to acquire the knowledge of their surroundings needed to carry out coordinate
With a focus on multicore machines and clusters as well as GPU computing, this book covers parallel R in the broad context of the general principles of parallel computing. It gives concrete technical
This book is concentrated on the synergy between computer science and numerical analysis. It is written to provide a firm understanding of the described approaches to computer scientists, engineers or
This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book present
This proceedings volume contains selected papers presented at the 2014 International Conference on Informatics, Networking and Intelligent Computing, held in Shenzhen, China. Contributions cover the l
Parallel and Distributed Processing Techniques and Applications is a compendium of articles and papers that were presented at PDPTA '14, an international conference that serves researchers, scholars,
