Grid and Cloud Database Management

  • Sandro Fiore
  • Giovanni Aloisio

Table of contents

  1. Front Matter
    Pages i-x
  2. Open Standards and Specifications

    1. Front Matter
      Pages 1-1
    2. Steven Lynden, Oscar Corcho, Isao Kojima, Mario Antonioletti, Carlos Buil-Aranda
      Pages 3-21
    3. Andrew Edmonds, Thijs Metsch, Alexander Papaspyrou
      Pages 23-48
  3. Research Efforts on Grid Database Management

    1. Front Matter
      Pages 49-49
    2. Sandro Fiore, Alessandro Negro, Giovanni Aloisio
      Pages 51-62
    3. Michael J. Jackson, Mario Antonioletti, Bartosz Dobrzelecki, Neil Chue Hong
      Pages 63-86
    4. Jon Olav Hauglid, Norvald H. Ryeng, Kjetil Nørvåg
      Pages 87-106
  4. Cloud Data Management

    1. Front Matter
      Pages 107-107
    2. Hongzhi Wang, Jianzhong Li, Jinbao Wang, Hong Gao
      Pages 133-150
    3. Ilia Petrov, Vyacheslav Polonskyy, Alejandro Buchmann
      Pages 151-167
    4. Steven Johnston, Simon Cox, Kenji Takeda
      Pages 169-192
    5. Andrzej Goscinski, Ivan Janciak, Yuzhang Han, Peter Brezany
      Pages 193-213
    6. Fakhri Alam Khan, Peter Brezany
      Pages 215-234
    7. R. Mian, P. Martin, A. Brown, M. Zhang
      Pages 235-258
  5. Scientific Case Studies

    1. Front Matter
      Pages 259-259
    2. Bartosz Dobrzelecki, Amrey Krause, Michal Piotrowski, Neil Chue Hong
      Pages 261-277
    3. Mikhail Zhizhin, Dmitry Medvedev, Dmitry Mishin, Alexei Poyda, Alexander Novikov
      Pages 307-330
    4. Haimonti Dutta, Alex Kamil, Manoj Pooleery, Simha Sethumadhavan, John Demme
      Pages 331-347
  6. Back Matter
    Pages 349-353

About this book


Since the 1990s Grid Computing has emerged as a paradigm for accessing and managing distributed, heterogeneous and geographically spread resources, promising that we will be able to access computer power as easily as we can access the electric power grid. Later on, Cloud Computing brought the promise of providing easy and inexpensive access to remote hardware and storage resources. Exploiting pay-per-use models and virtualization for resource provisioning, cloud computing has been rapidly accepted and used by researchers, scientists and industries.

In this volume, contributions from internationally recognized experts describe the latest findings on challenging topics related to grid and cloud database management. By exploring current and future developments, they provide a thorough understanding of the principles and techniques involved in these fields. The presented topics are well balanced and complementary, and they range from well-known research projects and real case studies to standards and specifications, and non-functional aspects such as security, performance and scalability. Following an initial introduction by the editors, the contributions are organized into four sections: Open Standards and Specifications, Research Efforts in Grid Database Management, Cloud Data Management, and Scientific Case Studies.

With this presentation, the book serves mostly researchers and graduate students, both as an introduction to and as a technical reference for grid and cloud database management. The detailed descriptions of research prototypes dealing with spatiotemporal or genomic data will also be useful for application engineers in these fields.


Cloud Computing Column-Oriented Database Systems Distributed Databases Grid Computing Scientific Data Bases Scientific Workflows

Editors and affiliations

  • Sandro Fiore
    • 1
  • Giovanni Aloisio
    • 2
  1. 1.Faculty of Engineering, Dept. of Innovation EngineeringUniversity of SalentoLecceItaly
  2. 2.Faculty of Engineering, Dept. of Innovation EngineeringUniversity of SalentoLecceItaly

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-20044-1
  • Online ISBN 978-3-642-20045-8
  • Buy this book on publisher's site