The grid

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  • Find out which technologies enable the Grid and how to employ them successfully! This invaluable text provides a complete, clear, systematic, and practical understanding of the technologies that enable the Grid. The authors outline all the components necessary to create a Grid infrastructure that enables support for a range of wide–area distributed applications. The Grid: Core Technologies takes a pragmatic approach with numerous practical examples of software in context.

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  • Grid Computing: Lecture 1 - Introduction to Grid Computing such as A Bit of History, Definitions, Grid Generations, Types of Grid, The GRID today -1, The GRID today - 2, “Grid” vs. cluster computing, Computing Grid, The Grid We are Building, Grid Characteristics.

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  • Grid Computing: Lecture 2 - Grid Architecture includes Grid Characteristics, API and SDK, Grid Layer Architecture, Protocols, services and interfaces, Open Grid Service Architecture, OGSA Capabilities, Service-centric View of the Grid.

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  • Tham khảo tài liệu 'the grid question practice', ngoại ngữ, anh văn giao tiếp phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • The Grid is the computing and data management infrastructure that will provide the electronic underpinning for a global society in business, government, research, science and entertainment [1–5]. Grids, illustrated in Figure 1.1, integrate networking, communication, computation and information to provide a virtual platform for computation and data management in the same way that the Internet integrates resources to form a virtual platform for information.

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  • Grid-connected photovoltaic power systems are power systems energised by photovoltaic panels which are connected to the utility grid. Grid-connected photovoltaic power systems comprise of Photovoltaic panels, MPPT, solar inverters, power conditioning units and grid connection equipments. Unlike Stand-alone photovoltaic power systems these systems do not have batteries. When conditions are right, the grid-connected PV system supplies the excess power, beyond consumption by the connected load, to the utility grid.[1]...

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  • Recent developments in high-speed networking enables collective use of globally distributed computing resources as a huge single problem-solving environment, also known as the Grid. The Grid not only presents a new, more difficult degree of inherent challenges in distributed computing such as heterogeneity, security, and instability, but will also require the constituent software substrates to be seamlessly interoperable across the network

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  • 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 (e.g., [2–5]), but the term ‘Grid’ has also been conflated, at least in

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  • Computational biology is undergoing a revolution from a traditionally compute-intensive science conducted by individuals and small research groups to a high-throughput, datadriven science conducted by teams working in both academia and industry. It is this new biology as a data-driven science in the era of Grid Computing that is the subject of this chapter.

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  • Grid research, rooted in distributed and high performance computing, started in midto- late 1990s when scientists around the world acknowledged the need to establish an infrastructure to support their collaborative research on compute and data intensive experiments. Soon afterwards, national and international research and development authorities realized the importance of the Grid and gave it a primary position on their research and development agenda.

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  • This short chapter summarizes the current status of Grid Computational and Programming environments. It puts the corresponding section of this book in context and integrates a survey of a set of 28 chapters gathered together by the Grid Computing Environment (GCE) group of the Global Grid Forum, which is being published in 2002 as a special issue of Concurrency and Computation: Practice and Experience. Several of the chapters here are extensions or reprints of those papers.

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  • A Grid can be defined as a layer of networked services that allow users single sign-on access to a distributed collection of compute, data, and application resources. The Grid services allow the entire collection to be seen as a seamless information processing system that the user can access from any location. Unfortunately, for application developers, this Grid vision has been a rather elusive goal. The problem is that while there are several good frameworks for Grid architectures (Globus [1] and Legion/Avaki [18]), the task of application development and deployment has not become easier....

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  • Data Grids address computational and data intensive applications that combine very large datasets and a wide geographical distribution of users and resources [1, 2]. In addition to computing resource scheduling, Data Grids address the problems of storage and data management, network-intensive data transfers and data access optimization, while maintaining high reliability and availability of the data (see References [2, 3] and references therein).

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  • Built upon a foundation of Simple Object Access Protocol (SOAP), Web Services Description Language (WSDL) and Universal Description Discovery and Integration (UDDI) technologies, Web services have become a widely accepted industry standard in the last few years [1, 2]. Because of their platform independence, universal compatibility, and network accessibility, Web services will be at the heart of the next generation of distributed systems. As more vendors offer SOAP tools and services, the advantages of using SOAP and Web services as an integration point will become even more pronounced.

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  • This chapter examines how databases can be integrated into the Grid [1]. Almost all early Grid applications are file-based, and so, to date, there has been relatively little effort applied to integrating databases into the Grid. However, if the Grid is to support a wider range of applications, both scientific and otherwise, then database integration into the Grid will become important. For example, many applications in the life and earth sciences and many business applications are heavily dependent on databases.

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  • This book, Grid Computing: Making the Global Infrastructure a Reality, is divided into four parts. This short chapter introduces the last part, Part D, on applications for the Grid. All the chapters in the book contain material relevant for Grid applications, but in this part the focus is the applications themselves. Some of the previous chapters also cover applications as part of an overview or to illustrate a technological issue.

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  • A Great Sketch Results in a Great Painting How to use the Grid Method to Achieve Accurate Shape and Perspective in Art Failure to achieve accurate shape and perspective in a finished work of art is why many of us give-up and declare ourselves "non-artists." There's nothing worse for a student's artistic selfconfidence than having a painting of a horse turn-out looking more like a dog. Yet there is a simple method of ensuring that the finished work will have proper shape and perspective. Artists dating back to the ancient Egyptians knew of a technique to break down a...

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  • This chapter describes a GridService demonstrator built around the Unicore Grid environment, its architectural design and implementation [1]. It then examines some lessons learned from the process of developing an implementation of a family of GridServices that conforms to the Open Grid Services Architecture (OGSA) [2] and the Grid Service Specification [3]. The goals of this project were two fold. Primarily, it is only through implementation that complexities such as those that arise in OGSA can be fully understood and analyzed....

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  • Grid computing architecture was defined to be a complete physical layer. Based on the grid computing architecture, we divided grid nodes into supervisor grid node and execute grid nod. The data transfer in network must be in secure. In this study, we propose the encryption and decryption algorithm in each grid node to keep information processing in security. We create user information database both in supervisor and execute grid nodes. We use them to verify user processing in system.

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  • The grid method is an inexpensive, low-tech way to reproduce and/or enlarge an image that you want to paint or draw. The grid method can be a fairly time-intensive process, depending on how large and detailed your painting will be. While the process is not as quick as using a projector or transfer paper, it does have the added benefit of helping to improve your drawing and observational skills. Contents of this book: Tools you will need, selecting an image, computer work, drawing, basic color theory, painting.

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