Grid technology offers the potential for providing secure access to remote services, thereby promoting scientific collaborations in an unprecedented scale. Grid Resource Management: Toward Virtual and Services Compliant Grid Computing presents a comprehensive account of the architectural issues of grid technology, such as security, data management, logging, and aggregation of services, as well as related technologies.
After covering grid usages, grid systems, and the evolution of grid computing, the book discusses operational issues associated with web services and service-oriented architecture. It also explores technical and business topics relevant to data management, the development and characteristics of P2P systems, and a grid-enabled virtual file system (GRAVY) that integrates underlying heterogeneous file systems into a unified location-transparent file system of the grid. The book covers scheduling algorithms, strategies, problems, and architectures as well as workflow management systems and semantic technologies. In addition, the authors describe how to deploy scientific applications into a grid environment. They also explain grid engineering and grid service programming.
Examining both data and execution management in grid computing, this book chronicles the current trend of grid developments toward a more service-oriented approach that exposes grid protocols using web services standards.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Professional
Illustrationen
55 s/w Abbildungen
55 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
ISBN-13
978-1-4200-7404-8 (9781420074048)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Frederic Magoules, Thi-Mai-Huong Nguyen, Lei Yu
Autor*in
Universite Paris-Saclay, France
Ecole Centrale Paris, Chatenay Malabry, France
Ecole Centrale Paris, Chatenay Malabry, France
An Overview of Grid Computing. Grid Computing and Web Services. Data Management in Grid Environments. Peer-to-Peer Data Management. Grid-Enabled Virtual File Systems. Scheduling Grid Services. Workflow Design and Portal. Semantic Web. Integration of Scientific Applications. Potential for Engineering and Scientific Computations. Conclusions. Glossary. Index.