© 2009

Higher-Order Components for Grid Programming

Making Grids More Usable


Table of contents

  1. Front Matter
    Pages i-xii
  2. Jan Dünnweber, Sergei Gorlatch
    Pages 1-17
  3. Jan Dünnweber, Sergei Gorlatch
    Pages 19-61
  4. Jan Dünnweber, Sergei Gorlatch
    Pages 63-108
  5. Jan Dünnweber, Sergei Gorlatch
    Pages 109-130
  6. Jan Dünnweber, Sergei Gorlatch
    Pages 131-159
  7. Jan Dünnweber, Sergei Gorlatch
    Pages 161-170
  8. Back Matter
    Pages 1-16

About this book


A major challenge in grid computing remains the application software development for this new kind of infrastructure. Grid application programmers have to take into account several complicated aspects: distribution of data and computations, parallel computations on different sites and processors, heterogeneity of the involved computers, load balancing, etc. Grid programmers thus demand novel programming methodologies that abstract over such technical details while preserving the beneficial features of modern grid middleware.

For this purpose, the authors introduce Higher-Order Components (HOCs). HOCs implement generic parallel/distributed processing patterns, together with the required middleware support, and they are offered to users via a high-level service interface. Users only have to provide the application-specific pieces of their programs as parameters, while low-level implementation details, such as the transfer of data across the grid, are handled by the HOCs. HOCs were developed within the CoreGRID European Network of Excellence and have become an optional extension of the popular Globus middleware. The book provides the reader with hands-on experience, describing a broad collection of example applications from various fields of science and engineering, including biology, physics, etc. The Java code for these examples is provided online, complementing the book. The expected application performance is studied and reported for extensive performance experiments on different testbeds, including grids with worldwide distribution.

The book is targeted at graduate students, advanced professionals, and researchers in both academia and industry. Readers can raise their level of knowledge about methodologies for programming contemporary parallel and distributed systems, and, furthermore, they can gain practical experience in using distributed software. Practical examples show how the complementary online material can easily be adopted in various new projects.


Component-Based Development Distributed Computing Distributed Resource Management and Scheduling Globus Grid and Cloud Computing Java Middleware Web Services distributed systems grid computing load balancing programming

Authors and affiliations

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About the authors

Jan Dünnweber has been working as a reasearcher in grid computing at the University of Münster since 2003. His work focuses on programming methodologies for grid platforms.

Sergei Gorlatch is a professor in computer science at the University of Münster, Germany. His areas of expertise include high-performance computing, program calculi, as well as performance modeling, prediction and MPI programming.

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From the reviews:

“Dünnweber and Gorlatch’s book provides an in-depth view of grid computing – the technology allowing for sharing and accessing various resources located over the Internet. The authors successfully present the challenges of software development in grid environments … . For beginners, this book provides a necessary introduction to the grid programming issues. For professionals, it provides solutions to particular, important problems. … a proper reference in the area of grid programming for students, researchers, as well as distributed software developers for the years to come.” (Józef Woźniak, Zentralblatt MATH, Vol. 1179, 2010)