Grid Computing: Techniques and Future Prospects

Jorge G. Barbosa, PhD (Editor)
LIACC, Departamento de Engenharia Informática, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

Inês Dutra, PhD (Editor)
Faculdade de Ciencias, Universidade do Porto, Porto, Portugal

Series: Computer Science, Technology and Applications
BISAC: COM032000




Digitally watermarked, DRM-free.
Immediate eBook download after purchase.

Product price
Additional options total:
Order total:



In the past two decades, grid computing have fostered advances in several scientific domains by making resources available to a wide community and bridging scientific gaps. Grid infrastructures have been harnessing computational resources all around the world allowing all kinds of parallelisms to be explored. Other approaches to parallel and distributed computing still exist like the use of dedicated high-performance (HPC) infrastructures, and the use of clouds for computing and storage, but grid computing continues to be the predominant technology used for scientific computing in Europe, through the European Grid Infrastructure (EGI) and the European Middleware Initiative (EMI).

Currently, there is a trend towards the use of cloud technologies for computing and storage. In Europe, this trend is being followed by taking advantage of all the experiences gained from building grid infrastructures and the technologies developed around them (resource management orchestration, unified job description languages, security, user interfaces, programming models, and scheduling policies, among others). As a result, the European Grid Infrastructure Federated Cloud is being built on top of the grid infrastructure already available. After almost two decades of the development of grid software and components and the emergence of competing technologies, now is the time to discuss current trends and to assess future prospects.

When organizing this book, the authors considered contributions that would review the current grid computing scenario as well as contributions that would summarize the main tools and technologies used so far. The chapters in this book provide reviews for the following topics: a) performance prediction for parallel and distributed computing systems, b) resource sharing on computational grids, c) economic models for resource management, and d) programming frameworks. The chapters address grid issues such as a) the challenges of designing efficient job schedulers for production grids, b) scalability analysis of bag-of-tasks applications, c) the energy efficiency of resource reservation-based scheduling, and d) the development of parallel applications using the grid environment. Additionally, the following tools are presented: a) a programming framework based on the concept of a pluggable grid service that avoids explicit calls to grid services in scientific code and b) a desktop grid framework that runs on top of a cloud and can be deployed on the fly.

The authors were each invited to contribute a chapter to this book, which were carefully revised and selected based on their originality and the value of their contribution to the overall discussion on grid computing and its future prospects. (Imprint: Nova)


A Taxonomy of Performance Prediction Systems for Parallel and Distributed Computing Systems
(Sena Seneviratne, David C. Levy, Rajkumar Buyya, Computer Engineering Lab, School of Electrical and Information Engineering, The University of Sydney, Australia, and other)

Resource Sharing for Scientific Workflows on Computational Grids
(Jorge G. Barbosa, Christos Michalakelis and Hamid Arabnejad, LIACC, Departamento de Engenharia Informática, Faculdade de Engenharia, Universidade do Porto, Portugal, and others)

On the Challenges in the Design of Efficient Job Scheduling Policies for Production HPC and Grid Environments
(Dalibor Klusacek and Simon Toth, CESNET a.l.e., Prague, Czech Republic)

Scalability Analysis of BoT Applications on Large Distributed Computing Systems
(Fabricio A. B. Silva, Hermes Senger, Oswaldo Cruz Foundation - FIOCRUZ, Scientific Computing Department, Rio de Janeiro - RJ, Brazil, and others)

Parallel Grid Applications
(E. Atanassov, T. Gurov, and A. Karaivanova, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria)

Grid Programming Frameworks
(B. Medeiros, R . Silva, J. L. Sobral, Universidade do Minho, Braga, Portugal)

Desktop Grid in the Era of Cloud Computing
(Peter Kacsuk, Zoltan Farkas, Jozsef Kovacs, Adam Visegradi, Attila Marosi, Robert Lovas, Gabor Kecskemeti, Zsolt Nemeth, Mark Gergely, MTA SZTAKI, Institute for Computer Science and Control of the Hungarian Academy of Sciences, Hungary, and others)


Audience: For researchers and all working in the area of grid computing. This book can be used in courses on High Performance Computing and alike and by readers interested in a review of recent grid computing projects.

You have not viewed any product yet.