TAILIEUCHUNG - Grid Computing P6

The term ‘the Grid’ was coined in the mid-1990s to denote a proposed distributed computing infrastructure for advanced science and engineering [1]. Considerable progress has since been made on the construction of such an infrastructure (., [2–5]), but the term ‘Grid’ has also been conflated, at least in | PART B Grid architecture and technologies Reprint from International Journal of High Performance Computing Applications 2001 Sage Publications Inc. USA . Minor changes to the original have been made to conform with house style. 6 The anatomy of the Grid Enabling Scalable Virtual Organizations Ian Foster 1 2 Carl Kesselman 3 and Steven Tuecke1 1 Mathematics and Computer Science Division Argonne National Laboratory Argonne Illinois United States 2Department of Computer Science The University of Chicago Chicago Illinois United States 3Information Sciences Institute The University of Southern California California United States INTRODUCTION The term the Grid was coined in the mid-1990s to denote a proposed distributed computing infrastructure for advanced science and engineering 1 . Considerable progress has since been made on the construction of such an infrastructure . 2-5 but the term Grid has also been conflated at least in popular perception to embrace everything from advanced networking to artificial intelligence. One might wonder whether the term has any real substance and meaning. Is there really a distinct Grid problem and hence a need for new Grid technologies If so what is the nature of these technologies and what is their domain of applicability While numerous groups have interest in Grid concepts To appear Intl J. Supercomputer Applications 2001. Grid Computing - Making the Global Infrastructure a Reality. Edited by F. Berman A. Hey and G. Fox 2003 John Wiley Sons Ltd ISBN 0-470-85319-0 172 IAN FOSTER CARL KESSELMAN AND STEVEN TUECKE and share to a significant extent a common vision of Grid architecture we do not see consensus on the answers to these questions. Our purpose in this article is to argue that the Grid concept is indeed motivated by a real and specific problem and that there is an emerging well-defined Grid technology base that addresses significant aspects of this problem. In the process we develop a detailed architecture and roadmap .

• 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
• Ứng dụng Grid
• Toán ứng dụng
• Hiệu suất bài toán với Alchemi
• Công nghệ thông tin
• Market Oriented Grid
• Utility Computing
• Wiley Series on Parallel
• Distributed Computing
• market oriented
• Grid Software Process
• User Environments and Tools
• Grid Portal
• Framework for Loosely
• Coupled ApplicationsBuild Grid
• luận văn
• công nghệ Grid
• hệ thống Grid
• phần mềm Globus
• phương trình tuyến tính
• Grid Systems
• Monitoring and Program Analysis Activities with DeWiz
• Grid Service
• Cluster Technology
• Graphical Design
• Programming Tools
• Bài toán quản trị mạng
• Luận văn quản trị mạng
• Bộ Globus Toolkit
• Integrated Research
• scientific technological
• Peer to Peer technologies
• Programming Models
• System Architecture
• Resource Management
• Computational fluid dynamics
• Structured grid generation
• Unstructured grid generation
• Adaptive methods
• Computing techniques