Grid environment

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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 main goal of Grid programming is the study of programming models, tools, and methods that support the effective development of portable and high-performance algorithms and applications on Grid environments. Grid programming will require capabilities and properties beyond that of simple sequential programming or even parallel and distributed programming.

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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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  • Chương 3. Giới thiệu bộ Globus Toolkit phiên bản 3.2 cách ứng dụng với các cấu hình môi trường thực thi cụ thể. Container cũng điều khiển chu kỳ sống của các Grid service, và phân phối các yêu cầu đến các service instance. Container mở rộng cũng như bao gồm các interface chuẩn của một Web Service Engine (WSE), WSE chịu trách nhiệm xử lý các thông điệp XML.

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  • Over the past several years there have been a number of projects aimed at building ‘production’ Grids. These Grids are intended to provide identified user communities with a rich, stable, and standard distributed computing environment. By ‘standard’ and ‘Grids’, we specifically mean Grids based on the common practice and standards coming out of the Global Grid Forum (GGF) (

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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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  • 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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  • Grid computing combines aspects from parallel computing, distributed computing and data management, and has been playing an important role in pushing forward the state-of-the-art in computer science and information technologies. There is considerable interest in Grid computing at present, with a significant number of Grid projects being launched across the world.

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  • Recent developments in high-performance networks, computers, information servers, and display technologies make it feasible to design network-enabled tools that incorporate remote compute and information resources into local computational environments and collaborative environments that link people, computers, and databases into collaborative sessions.

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  • The goal of autonomic computing is the reduction of complexity in the management of large computing systems. The evolution of computing systems faces a continuous growth in the number of degrees of freedom the system must manage in order to be efficient. Two major factors contribute to the increase in the number of degrees of freedom: Historically, computing elements, such as CPU, memory, disks, network and so on, have nonuniform advancement.

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  • Until recently, application developers could often assume a target environment that was (to a useful extent) homogeneous, reliable, secure, and centrally managed. Increasingly, however, computing is concerned with collaboration, data sharing, and other new modes of interaction that involve distributed resources. The result is an increased focus on the interconnection of systems both within and across enterprises, whether in the form of intelligent networks, switching devices,

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  • The peer-to-peer (P2P) style interaction [1] model facilitates sophisticated resource sharing environments between ‘consenting’ peers over the ‘edges’ of the Internet; the ‘disruptive’ [2] impact of which has resulted in a slew of powerful applications built around this model. Resources shared could be anything – from CPU cycles, exemplified by SETI@home (extraterrestrial life) [3] and Folding@home (protein folding) [4] to files (Napster and Gnutella [5]).

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  • This book presents the first integrated, single-source reference on market-oriented grid and utility computing. Divided into four main parts—and with contributions from a panel of experts in the field—it systematically and carefully explores: Foundations—presents the fundamental concepts of market-oriented computing and the issues and challenges in allocating resources in a decentralized computing environment.

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  • Tham khảo sách 'an event service to support grid computational environments', kinh doanh - tiếp thị, tổ chức sự kiện phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Adaptive filtering can be used to characterize unknown systems in time-variant environments. The main objective of this approach is to meet a difficult comprise: maximum convergence speed with maximum accuracy. Each application requires a certain approach which determines the filter structure, the cost function to minimize the estimation error, the adaptive algorithm, and other parameters; and each selection involves certain cost in computational terms, that in any case should consume less time than the time required by the application working in real-time....

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  • This paper presents the experiences gained from ongoing research collaboration between the School of Computer Engineering at Nanyang Technological University and the Southampton e-Science centre at the University of Southampton using a serviceoriented approach for complex engineering design optimization. The service-oriented approach enables programmatic collaboration to be realized while maintaining the autonomy of individual codes at the different institutes and organizations. In the current work, a Genetic algorithm optimization logic implemented as a Grid...

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  • At this point in our industry’s evolution, it’s important to have government involvement. Incumbent technologies, such as internal combustion engines for transportation and the electrical power grid, have a huge head start and, in many cases, the rules of the game are written to support their continuation. Our society is comfortable with these technologies and has depended on them for many generations. Because we are not yet producing products at high volume, we are often faced with an initial cost disadvantage compared to traditional, less sustainable power generation methods.

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  • Climate change can also be expected to have serious consequences on water resources. Melting glaciers, higher intensity and more variable rainfall events, and increasing temperatures will contribute to increased inland flooding, water scarcity and decreasing water quality. Overall, the greatest human requirement for freshwater resources is for crop irrigation, particularly for farming in arid regions and in the great paddy fields of Asia.

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  • Oracle Real Application Clusters (RAC)1 is an option to the award-winning Oracle Database Enterprise Edition. Oracle RAC is a cluster database with a shared cache architecture that overcomes the limitations of traditional shared-nothing and shared-disk approaches to provide highly scalable and available database solutions for all your business applications. Oracle RAC is a key component of Oracle’s enterprise grid architecture and cloud foundation.

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  • Running today’s non-critical business applications in virtualized environments has shown to be efficient and cost saving. More sophisticated or highly available applications on the other hand were most likely incompatible with commonly used software based virtualization solutions. The availability of Oracle VM overcomes this obstacle.

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