grid computing research papers 43

grid computing research papers 43




Experiments with distributed component computing across grid boundaries
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There is a number of specific component models which have received much attention from the High Perfor- mance and Grid computing community [5]. In addition to specifying components and their interactions, these models also aim to support parallel programming constructs

UNICORE and EUROGRID: Grid Computing in Europe
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Forschungszentrum Jlich UNICORE and EUROGRID: Grid Computing in EUROPE Dietmar Erwin Forschungszentrum Jlich GmbH  Forschungszentrum Jlich The vision of the Grid The challenges of Grid Computing Two projects: UNICORE and EUROGRID Quo vadis clathri?

Standards-Based Processing of Digital Elevation Models in Grid Computing Environments
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In 2007 the European Commission passes a directive on the validation and management of flood risks. The objective of this directive is to calculate and reduce flood-conditioned risks to human health, the environment, cultural heritage and economic activity. For this purpose

A qos model for grid computing based on diffserv protocol
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Because Grid comprises various kinds of dynamic and heterogeneous resources and provides the users with transparent services, how to achieve the quality of services for Grid Computing will be in face of more challenges. A QoS Model for Grid Computing based on

Multi-voxel non-linear fMRI analysis: a Grid computing approach
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 15 Summary ? Non-parametric analysis time can be substantially reduced using Grid resources ? Pair-wise analysis is ideal to Grid computing because it can be easily parallelised ? Towards a virtual lab Page 16. Multi-voxel non-linear fMRI analysis: a Grid

Role of grid computing in Indian education
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ABSTRACT A grid is a collection of distributed computing resources available over a local or wide area network that appear to an end user or application as one large virtual computing system. Grid computing has serious social consequences and is going revolutionize the

Ultrasound computer tomography, distributed volume reconstruction and grid computing
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At Forschungszentrum Karlsruhe the demonstrator of a new medical imaging system based on 3D ultrasound computer tomography will be available at the beginning of 2005. This system requires not only the recording but also the processing of very large datasets of

Is Oracle Database Moving Toward Grid Computing?
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Over the past year Oracle has been promoting Grid computing as the next major revolution in information technology after the advent of the Internet. The Grid computing campaign started simultaneously with the announcement of their new software infrastructure which is

Using Grid Computing in Parallel Electronic Circuit Simulation
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This paper presents the concept of a parallel electronic circuit simulator running in the Grid infrastructure. The simulator implements new algorithm that parallelizes equation formulation for nonlinear analog elements to reduce long simulation runtimes of complex

QoS-Aware Fault Tolerance in Grid Computing
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Scuola Superiore Sant Anna and CNIT Pisa, Italy Workshop on Reliability and Robustness in Grid Computing Systems GGF16 Feb.  Tolerance • Assumption – Grid computing services requiring communication QoS guarantees (eg, collaborative visualization) – QoS parameter

Extending the Linux operating system for grid computing
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ABSTRACT The emergence of metacomputing and grid technologies as a new trend in high performance computing has opened up many interesting problems in the implementation of resource-sharing and efficient scheduling of compute-intensive processes. While much

Enhanced ANT Algorithm Based Load Balanced Task Scheduling in GRID Computing
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ABSTRACT Load balanced task scheduling is very important problem in complex grid environment. Finding optimal schedules for such an environment is an NP-hard problem, and so heuristic approaches must be used. Antalgorithm is a heuristic task scheduling

A scheduling approach with respect to overlap of computing and data transferring in grid computing
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In this paper, we present a two-level distributed schedule model, and propose a scheduling approach with respect to overlap of computing and data transferring. On the basis of network status, node load, and the relation between task execution and task data access, data

A grid computing tool for engineering simulations
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ABSTRACT There has been steady and notable rise in the use of numerical simulation packages for predicting behavior of engineering systems. The numerical simulations have become an important design tool. However, experimental tests have not been replaced by

Biomedical Text Mining Using a Grid Computing Approach
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Extracting useful information from a very large amount of biomedical texts is an important and difficult activity in biomedicine field. Data to be examined are generally unstructured and the available computational resources do not still provide adequate mechanisms for

Grid computing and bioinformatics development. A case study on the Oryza sativa (rice) genome
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ABSTRACT The bioinformatics research area is now faced with a mountain of ever-increasing and distributed information. For example, finding a single gene of the Oryza sativa (rice) genome one must spend weeks, if not months, wandering through approximately 40

Business Grid Computing Project Activities
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The recent global diffusion of the Internet has increased the importance of e-business and created new opportunities and challenges. One effect is that the business cycle, from planning to development to operation, is becoming shorter and shorter. Therefore, there is

Perspectives on grid: Grid computing:next-generation distributed computing
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Two major needs have dramatically increased the value of the concept of grid computing in the last few years. A lean economy has forced those with a limited IT budget to more fully utilize their existing computing assets and to become more flexible to respond to rapidly

Failure Prediction and Scalable Checkpointing for Reliable Large-Scale Grid Computing
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ABSTRACT Computational clusters, the grids that federate them, and the applications that utilize their significant computing potential, all continue to grow with advances in hardware technology, cluster management, and grid middleware solutions. As they do, the

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