This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.
|Publisher:||Springer International Publishing|
|Series:||Modeling and Optimization in Science and Technologies , #4|
|Edition description:||Softcover reprint of the original 1st ed. 2015|
|Product dimensions:||6.10(w) x 9.25(h) x 0.04(d)|
About the Author
Prof. Dr. Fatos Xhafa is Hab. Full Professor and holds a permanent position of Professor Titular in the Software Department (LSI) at the Technical University of Catalonia (UPC).His research interests include: parallel and distributed algorithms, combinatorial optimization, approximation and meta-heuristics, networking systems, distributed programming as well as grid and P2P computing. Dr. Xhafa published about 100 papers in international refereed journals, 200 Papers in conference/workshops and 20 book chapters. He edited more than 20 conference proceedings and published more than 10 books with Springer.
Prof. Dr. Petraq Papajorgji is currently Dean Of Engineering at Canadian Institute of Technology, Tirana, Albania. He is currently developing modeling methodologies of complex information. He published a number of books and many papers in international journals as well.
Dr. Admir Barolli got a diploma degree from the Agricultural University of Tirana, Albania in 2008 and a doctor degree from Fukuoka Institute of Technology (FIT), Japan, in March 2012. He is currently lecturer at Canadian Institute of Technology, Tirana, Albania. His research interests include: genetic algorithms, intelligent algorithms, computer networks, wireless networks, ad hoc and mesh networks, P2P systems, optimization algorithms, climate change, global warming, as well as genetics and agricultural engineering.
Prof. Dr. Leonard Barolli is currently Full Professor in the Department of Information and Communication Engineering at Fukuoka Institute of Technology (FIT), Japan. He published more than 300 papers in refereed journals, books and international conference proceedings. His research interests include: high-speed networks, grid computing, P2P and ad hoc and sensor networks.
Table of ContentsExploring the Hamming distance in distributed infrastructures for similarity search.- Data Modeling for Socially-Based Routing in Opportunistic Networks.- Decision Tree Induction Methods and Their Application to Big Data.- Sensory Data Gathering for Road-Traffic Monitoring: Energy Efficiency, Reliability and Fault-tolerance.- Data aggregation and forwarding route control for efficient data gathering in dense mobile wireless sensor networks.- A socialized system for enabling the extraction of potential values from natural and social sensing.- Leveraging High Performance Computing Infrastructures to Web Data Analytic Applications by means of Message-Passing Interface.- ReHRS: A Hybrid Redundant System for Improving MapReduce Reliability and Availability.- Analysis and Visualization of Large Scale Time Series Network Data.- Parallel Coordinates Version of Time-tunnel (PCTT) and Its Combinatorial Use for Macro to Micro Level Visual Analytics of Multidimensional Data.- Towards a Big Data Analytics Framework for IoT and Smart City Applications.- How the big data is leading the evolution of ICT technologies and processes.- Big Data, Unstructured Data and the Cloud: Perspectives on Internal.- Future Human-Centric Smart Environments.- Automatic Configuration of Mobile Applications using Context-Aware Cloud Based Services.- Socialized system for enabling to extract potential ‘values' from natural and social sensing data.- Providing crowd-sourced and real-time media services through a NDN-based platform.- Linked Open Data for Smarter Cities.- Benchmarking Internet of Things Deployment: Frameworks, Best Practices and Experiences.