TAILIEUCHUNG - Grid Computing P16

The management of data within Grids is a challenging problem. It requires providing easy access to distributed, heterogeneous data that may reside in different ‘administrative domains’ and may be represented by heterogeneous data formats, and/or have different semantic meaning. Since applications may access data from a variety of storage repositories, for example, file systems, database systems, Web sites, document management systems, scientific databases, and so on, there is a need to define a higher-level abstraction for data organization. This is generally referred to as a data collection. A data collection contains named entities that may in actuality be stored in. | 16 Virtualization services for Data Grids Reagan W. Moore and Chaitan Baru University of California San Diego California United States INTRODUCTION The management of data within Grids is a challenging problem. It requires providing easy access to distributed heterogeneous data that may reside in different administrative domains and may be represented by heterogeneous data formats and or have different semantic meaning. Since applications may access data from a variety of storage repositories for example file systems database systems Web sites document management systems scientific databases and so on there is a need to define a higher-level abstraction for data organization. This is generally referred to as a data collection. A data collection contains named entities that may in actuality be stored in any of the repositories mentioned above. Data collections can be organized hierarchically so that a collection may contain subcollections and so on. An important issue in building collections is naming. Typically the naming conventions are dependent upon the type of digital entities. While there are technologies to build uniform namespaces they are typically different for each type of digital entity. For example a Geographic Information System may use one approach to organize and name spatial data database systems may use another approach for structured Grid Computing - Making the Global Infrastructure a Reality. Edited by F. Berman A. Hey and G. Fox 2003 John Wiley Sons Ltd ISBN 0-470-85319-0 410 REAGAN W. MOORE AND CHAITAN BARU data and file systems may use yet another for files. Data Grids must provide the capability to assemble and further integrate such disparate data into coherent collections. This problem is further exacerbated owing to the fact that data collections can persist longer than their supporting software systems. Thus the organization of data collections may need to be preserved across multiple generations of supporting infrastructure. There is

• Kĩ thuật Viễn thông
• Grid Computing
• dữ liệu gird
• nền tảng gird
• mô hình tính toán
• tài nguyên điện toán
• Introduction to Grid Computing
• Grid Generations
• Types of Grid
• The Grid We are Building
• Grid Characteristics
• Grid applications
• Grid vs
• Cluster computing from application view
• Types of Grid applications
• Grid in the world
• Grid in Viet Nam
• Seminar Review
• Grid Computing Middleware
• Grid Resource Management
• Grid Computing Security
• Applications of SOA
• Grid Architecture
• Grid Layer Architecture
• Open Grid Service Architecture
• OGSA Capabilities
• Service centric View of the Grid
• Quản trị mạng
• Luận văn cử nhân tin học
• Công nghệ Grid Computing
• Ứng dụng công nghệ Grid Computing
• Lĩnh vực điện toán
• Khả năng lưu trữ
• Heuristic algorithm
• Resource utilization
• Sort Mid tasks scheduling algorithm
• Đại học Khoa học Tự nhiên TP
• HCM
• tài nguyên trên Grid
• tổ chức ảo
• quản lý toàn cục
• Data Management
• Based Scheduling
• Network Aware
• Data Transfers
• Grid Architectures
• Nền tảng Alchemi
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• Wiley Series on Parallel
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