Grid and Cloud Database Management

Open Standards and Specifications.- 1. Open Standards for Service-based Database Access and Integration.- 2. Open Cloud Computing Interface in Data Management-related Setups.- Research Efforts on Grid Database Management.- 3. The GRelC Project from 2001 to 2011, Ten Years Working on Grid-DBMSs.- 4. Distributed Data Management with OGSA-DAI.- 5. The DASCOSA-DB Grid Database System.- Cloud Data Management.- 6. Access Control and Trustiness for Resource Management in Cloud Databases.- 7. Dirty Data Management in Cloud Database.- 8. Virtualization and Column-oriented Database Systems.- 9. Scientific Computation and Data Management using Microsoft Windows Azure.- 10. The Cloud Miner Moving Data Mining into Computational Clouds.- 11. Provenance Support for Data-Intensive Scientific Workflows.- 12. Managing Data-Intensive Workloads in a Cloud.- Scientific Case Studies.- 13. Managing and Analysing Genomic Data using HPC and Clouds.- 14. Grid Technologies for Satellite Data Processing and Management within International Disaster Monitoring Projects.- 15. Transparent Data Cube for Spatio-temporal Data Mining and Visualization.- 16. Distributed Storage of Large Scale Multidimensional Electroencephalogram Data using Hadoop and HBase.-

Sandro Fiore received his Ph.D. degree in Computer Engineering from the Istituto Superiore Universitario di Formazione Interdisciplinare (ISUFI) at the University of Lecce in 2004. His research activities focus on high-performance computing, distributed computing and grid computing, and in particular on distributed data management. Since 2001 he has been the Principal Investigator of the Grid Relational Catalog (GRelC) project (www.grelc.unile.it). In 2006 he joined the Scientific Computing and Operations Division of the Euro-Mediterranean Center for Climate Change (CMCC), leading the Data Management team. Sandro is a member of the ACM, he is an author or coauthor of more than 50 papers in refereed books, journals and proceedings on parallel and grid computing, and he holds a patent on advanced data management.

Giovanni Aloisio is Full Professor of Information Processing Systems at the Engineering Faculty of the University of Salento, Lecce, Italy. His research interests are in the areas of high-performance computing, grid computing and cloud computing. He was a cofounder of the European Grid Forum (Egrid), which merged into the Global Grid Forum (GGF) and is now the Open Grid Forum (OGF). He founded the SPACI (Southern Partnership for Advanced Computational Infrastructures) Consortium, and is now the Director of the Scientific Computing and Operations Division of the Euro-Mediterranean Center for Climate Change (CMCC). Giovanni is the author of more than 100 papers in refereed journals on parallel and grid computing.terranean Center for Climate Change (CMCC), leading the Data Management team. Sandro is a member of the ACM, he is an author or coauthor of more than 50 papers in refereed books, journals and proceedings on parallel and grid computing, and he holds a patent on advanced data management.

Giovanni Aloisio is Full Professor of Information Processing Systems at the Engineering Faculty of the University of Salento, Lecce, Italy. His research interests

From the reviews:

"This volume is a collection of contributions from international experts. It presents an overview of grid and cloud database management, with topics ranging from standards and specifications to research projects and case studies. ... I recommend this book not only as a technical reference for researchers, students, programmers, and systems engineers, but also as an introduction to cloud and grid computing database paradigms." (Diego Merani, ACM Computing Reviews, February, 2012)

From the reviews:

"This volume is a collection of contributions from international experts. It presents an overview of grid and cloud database management, with topics ranging from standards and specifications to research projects and case studies. ... I recommend this book not only as a technical reference for researchers, students, programmers, and systems engineers, but also as an introduction to cloud and grid computing database paradigms." (Diego Merani, ACM Computing Reviews, February, 2012)