Data Analysis in the Cloud

Models, Techniques and Applications

AvDomenico Talia,Paolo Trunfio

Häftad, Engelska, 2015

Del i serien Computer Science Reviews and Trends

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Beskrivning

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud.

Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis.

Introduces data analysis techniques and cloud computing concepts
Describes cloud-based models and systems for Big Data analytics
Provides examples of the state-of-the-art in cloud data analysis
Explains how to develop large-scale data mining applications on clouds
Outlines the main research trends in the area of scalable Big Data analysis

Produktinformation

Utgivningsdatum:2015-09-28
Mått:152 x 229 x 9 mm
Vikt:230 g
Format:Häftad
Språk:Engelska
Serie:Computer Science Reviews and Trends
Antal sidor:150
Förlag:Elsevier Science
ISBN:9780128028810

Utforska kategorier

Databaser inom Data och IT
Nätverk och kommunikation inom Data och IT

Mer om författaren

Domenico Talia is a professor of computer engineering at University of Calabria and partner of two startups: DtoK Lab and Exeura. His research interests include parallel and distributed data mining algorithms, cloud computing, social data analysis, distributed knowledge discovery, mobile computing, green computing systems, peer-to-peer systems, and parallel programming. He is the author of several books including Service-Oriented Distributed Knowledge Discovery (CRC 2012) and Grid Middleware and Services: Challenges and Solutions (Springer 2010), and more than 300 papers in archival journals such as CACM, IEEE TKDE, ACM Computing Surveys, FGCS, Parallel Computing, IEEE Internet Computing and international conference proceedings. He is a member of the editorial boards of many journals including IEEE Transactions on Cloud Computing, the Future Generation Computer Systems journal, Journal of Cloud Computing, and The International Journal on Web and Grid Services. Paolo Trunfio is an associate professor of computer engineering at University of Calabria, Italy. He has been a visiting researcher at the Swedish Institute of Computer Science (SICS) in Stockholm and a research collaborator at the Institute of Systems and Computer Science of the Italian National Research Council (ISI-CNR). His current research focuses on cloud computing, distributed data mining, service-oriented architectures, social data analysis, energy-efficiency in distributed systems, and peer-to-peer networks. He published three books, Data Analysis in the Cloud (Elsevier 2015), Service-Oriented Distributed Knowledge Discovery (CRC 2012) and The Internet of Things Based on Smart Objects (Springer 2014), and many scientific papers in conference proceedings, edited books and international journals. Fabrizio Marozzo received a Laurea degree in computer engineering and a Ph.D. in systems and computer engineering from University of Calabria, where he currently works as a Research Technician. In 2011-2012 he visited the Barcelona SuperComputing Center (BSC) for a research internship. His research interests include distributed systems, software engineering, cloud computing, data mining, social data analysis, and peer-to-peer networks. He co-authored several papers in conference proceedings, edited books and international journals. He has been a member of the program committee of several scientific conferences and reviewer for international journals. He was the recipient of two Italian awards for best master thesis in the ICT area: Javaday award 2010 and AICA/Confindustria thesis award 2010.

Innehållsförteckning

Introduction to Data Mining and Cloud ComputingIntroduction to Cloud ComputingModels and Techniques for Cloud-based Data AnalysisDesigning and Supporting Scalable Data AnalyticsResearch Trends in Big Data Analysis