Grid Resource Management Toward Virtual and Services Compliant Grid Computing
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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.
An Overview of Grid Computing
Classifying grid usages
Classifying grid systems
Evolution of grid computing
Grid Computing and Web Services
Web services protocols and technology
Data Management in Grid Environments
The scientific challenges
Major data grid efforts today
Data management challenges in grid environments
Overview of existing solutions
Peer-to-Peer Data Management
Data location and routing algorithms
Shortcomings and improvements of P2P systems
Grid-Enabled Virtual File Systems
Data access problems in the grid
GRAVY: GRid-enAbled Virtual file sYstem
Scheduling Grid Services
Scheduling algorithms and strategies
Data-intensive service scheduling
Workflow Design and Portal
Workflow specification languages
Scheduling and rescheduling
A case study on the use of workflow technologies for scientific analysis
Semantic web services
Semantic matching of web services
Integration of Scientific Applications
Potential for Engineering and Scientific Computations
Grid service programming
Future for grid computing
Concluding Remarks and References appear at the end of each chapter.
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