Xem 1-20 trên 20 kết quả Grid architectures
  • 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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  • 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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  • Service Oriented Architecture is an Application Architecture that is designed to achieve loose coupling among interacting software applications. SOA provides greater flexibility in developing, integrating, and managing Enterprise Applications.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...

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  • Grid Networks describes the convergence of advanced networking technologies and Grid technologies, with special focus on their symbiotic relationship and the resulting new opportunities. Grid technology is applicable to many implementations, Computational Grids, Data Grids, Service Grids, and Instrumentation Grids. The authors cover a breadth of topics including recent research, featuring both theoretical concepts and empirical results. Beginning with an overview of Grid technologies, an analysis of distinguishing use cases and architectural attributes, and emerging standards.

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  • During the last decades we have been experiencing the historic evolution of Information and Communication Technology’s integration into our society to the point that many times people use it transparently. As we become able to do more and more with our advanced technologies, and as we hide them and their complexities completely from their users, we will have accomplished the envisioned “magic” desideratum that any advanced technology must fulfi ll in Arthur Clarke’s vision.

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  • This chapter presents aspects of the UK e-Science communities’ plans for generic Grid middleware. In particular, it derives from the discussions of the UK Architecture Task Force [1]. The UK e-Science Core Programme will focus on architecture and middleware development in order to contribute significantly to the emerging Open Grid Services Architecture (OGSA) [2]. This architecture views Grid technology as a generic integration mechanism assembled from Grid Services (GS), which are an extension of Web Services (WS) to comply with additional Grid requirements. ...

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  • The aim of CoreGRID is to strengthen and advance scientific and technological excellence in the area of Grid and Peer-to-Peer technologies in order to overcome the current fragmentation and duplication of effort in this area. To achieve this objective, the workshop brought together a critical mass of well-established researchers from a number of institutions which have all constructed an ambitious joint program of activities.

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  • In this chapter, we discuss the development, architecture, and functionality of the National Partnership for Advanced Computational Infrastructure NPACI Grid Portals project. The emphasis of this paper is on the NPACI Grid Portal Toolkit (GridPort); we also discuss several Grid portals built using GridPort including the NPACI HotPage.

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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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  • Learn Revit Architecture step by step with this project-based tutorial Revit Architecture is the leading Building Information Modeling (BIM) software for architects and others in related fields. Written by renowned Revit trainer Eric Wing, this simple, yet engaging tutorial teaches you the program's basics. You'll find concise explanations, focused examples, step-by-step instructions, and an engaging hands-on tutorial project that will take you from an introduction to the interface and Revit conventions right in to modeling a four-story office building.

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  • Virtually every computing system today is part of a distributed system. Programmers, developers, and engineers need to understand the underlying principles and paradigms as well as the real-world application of those principles. Now, internationally renowned expert Andrew S. Tanenbaum – with colleague Martin van Steen – presents a complete introduction that identifies the seven key principles of distributed systems, with extensive examples of each. Adds a completely new chapter on architecture to address the principle of organizing distributed systems.

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  • To transcend these limitations, Greenplum assembled a team of the world’s leading database experts and built a shared-nothing massively parallel processing database, designed from the ground up to achieve the highest levels of parallelism and efficiency for complex BI and analytical processing. In this architecture, each unit acts as a self-containe database management system that owns and manages a distinct portion of the overall data. The system automatically distributes data and parallelizes query workloads across all available hardware.

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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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  • The SAS In-Database technology described in this paper relates to a variety of environments, including grid, blade servers, and event management containers. The focus here is on its application to database management systems. The goal of the SAS In-Database initiative is not only to achieve deeper technical integration with database providers, but to also extend this integration to a unique and differentiated value proposition that blends the best SAS data integration and analytics with the core strengths of databases.

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  • In this chapter students will be able to: Describe the business value in deploying a service oriented architecture, explain the need for interoperability and loose coupling in building today’s IT systems, identify the logical functions used in a virtualized environment, explain the business benefits of grid computing.

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  • We believe that it is interesting to study the system and software architecture of environments which integrate the evolving ideas of computational grids, distributed objects, web services, peer-to-peer networks and message oriented middleware. Such peer-to-peer (P2P) Grids should seamlessly integrate users to themselves and to resources which are also linked to each other. We can abstract such environments as a distributed system of “clients” which consist either of “users” or “resources” or proxies thereto.

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  • LSI’s CAM content is based upon the unique and proprietary Alternative Health Grid Matrix Technology. The uniqueness of this matrix is the horizontal human anatomy; each organ is virtually integrated horizontally from one single button to each of the 15 alternative healing modalities. In addition, each modality is supported by references from leading medical literature, not eastern philosophy. LSI has taken the above system and then using the body-organ to disease-organ architecture, has created a duplicable, repeatable engine for every other modality.

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  • Computational Fluid Dynamics, broadly encompassing fluid flows in engineering, atmospheric and ocean sciences, geophysics, physics and astrophysics, has seen calculations of great fidelity performed routinely that were only imagined at the inception of this conference series in 1989. These advances have not only been made with the available horsepower of increasingly more powerful parallel computers, but in tandem with advances in implementations of core and of entirely new algorithms, including multi-scale and adaptive methods....

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