grid computing research papers 86

grid computing research papers 86




Distributed indexing and aggregation techniques for peer-to-peer and grid computing
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With the pervasive use of computers and high-speed networks, Peer-to-Peer (P2P) systems and Grids are emerging as two novel approaches to wide-area resource sharing on the Internet. In contrast to the traditional client-server architecture, the P2P paradigm

Integrating grid with cryptographic computing
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Grid Computing Grid computing is concerned with coordinated resource sharing and problem solv- ing in dynamic, multi-institutional virtual organizations. The early grid efforts started as projects to link supercomputing sites.

A paradigm for allocating parallel application tasks to heterogeneous computing resources on the grid
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 Recently, there has been a proposal for using large-scale high-performance distributed computing resources through a new architecture, known as the computational Grid [4]. In order to construct a Grid computing environment, it is very important to have a Grid Resource

Running Smart Grid Control Software on Cloud Computing Architectures
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Page 1. 1 Running Smart Grid Control Software on Cloud Computing Architectures Kenneth P. Birman, Lakshmi Ganesh, and Robbert van Renesse1Abstract There are pressing economic as well as environmental arguments

Grid and Distributed Public Computing Schemes for Structural Proteomics: A Short Overview
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 of known protein structures goes on increasing the size of their corresponding databases (such as PDB) also increases and hence, the process of structure comparison requires more efficient algorithms, which could exploit the power of web and grid computing technologies to

Monitoring of Jobs and their Execution for the LHC Computing Grid
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 The system supports users with useful monitoring information, interactive visualisations and helps them to find the reasons for job failures. 1 Introduction A major challenge in Grid Computing is the processing of large amounts of data.

Integrating the IEKP Linux cluster as a Tier-2/3 prototype centre into the LHC Computing Grid
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Integrating the IEKP Linux cluster as a Tier-2/3 prototype centre into the LHC Computing Grid Volker Bge1,2, Ulrich Felzmann1, Christopher

Parallel Fish Landscape Model for Ecosystem Modeling on a Computing Grid
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 With practical speedup we can also begin to make available a broadening parameter field for scenario runs and increase remote accessibility for natural resource managers at various South Florida agencies, through web interfaced grid computing in a manageable time frame.

Scheduling and Management of Data Intensive Application Workflows in Grid and Cloud Computing Environments
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It finally concludes by giving an overview of its chapters, supported by publications. 1.1 Background The field of distributed computing has seen technologies rapidly grow from desktop com- puting, through Grid computing, and now to Cloud computing.

Storage Management and Access in WLHC Computing Grid
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 STORAGE MANAGEMENT AND ACCESS IN WLHC COMPUTING GRID by Dr. Flavia Donno Supervisors: Prof. Gigliola Vaglini Dr. Andrea Domenici Department of Computer Engineering One of the big challenges in Grid computing is storage management and access. Several

PC Grid Computing
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While the continued penetration of personal computers and the remarkable improvement of CPU processing speed, 80 to 90 percent of most PCs processing power is untapped, according to a study . This does not mean that many PCs remain turned off, but that the

Distributed Verification and Grid Computing
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ABSTRACT.the Dagstuhl Seminar 08332 Distributed Verification and Grid Computing was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their

Grid Computing Made Simple
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Figure 1. A set of methods describes the connectivity of the original problem cell (OPC) with its neighbors and specifies the calculations to be performed by the cell using local data. Groups of OPCs form collections, one or more of which define the variable problem

Grid computing in Earth Science
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• Multi-attribute and 4D (3D+ time) data sets• Exploration and visualization of distributed large volumes of data• Integration of large volume and/or large number data sets from distributed data resources• Distributed data analysis (HTC) of large data volumes ( 100s

Dynamic BSP: towards a flexible approach to parallel computing over the grid
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software. Originally developed for use with traditional supercomputers, it was later applied to networks of workstations. Following the emergence of grid computing, new program- ming models are needed to exploit its potential. We

Research and implementation of MODIS L1B data process based on grid computing
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ABSTRACT MODIS (Moderate Resolution Imaging Spectroradiometer, Moderate Resolution Imaging Spectroradiometer) is carrying on a major satellite remote sensing sensors of EOS series in the United States. MODIS remote sensing data is the new generation of satellite

Software Infrastructure for Grid Computing
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ABSTRACT Due to large data sets and accompanied large number of parameters being produced by high throughput techniques, it became necessary to develop high performance computers based on clustering technologies and high performance distributed platforms.

A neural network realization of scheduling in grid computing environment
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ABSTRACT The Computational Grids provide a promising platform for efficient execution of computational and data intensive applications. Scheduling in such environments is challenging because target resources are heterogeneous and their load and availability

An Integrated Software Development Environment for Grid-Computing
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SUMMARY Grid-Computing has become a popular concept in the last years. While in the beginning the driving force was metacomputing, the focus has now shifted towards resource management issues and concepts like ubiquitous computing. For the High Performance

An Enhanced Password-based User Authentication Scheme for Grid Computing
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ABSTRACT. Based upon Elliptic Curve Cryptosystem, a simple password user authentication scheme was proposed by Lu et al. for grid computing. In their scheme, Lu et al. not only kept the advantages of Yoon et al. s scheme, but enhanced the efficiency of mutual

DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing
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Abstract. We describe our project that marries data mining together with Grid computing.  We also describe a Grid service system that can deploy and manage multiple MINDS instances across a wide-area network. Keywords: Data mining, Grid Computing. 1 Introduction

Grid computing in real time
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Grid computing usually is understood to be the concurrence of four things: high computing power, large storage capacities, extensive networking, and integration of services. Often, the services are mentioned marginally only. However, they shall be in the focus of the present

Grid Computing: A Case Study in Hybrid GMRES Method
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Grid computing in general is a special type of parallel computing. It intends to deliver high- performance computing over distributed platforms for computation and data-intensive applications by making use of a very large amount of resources. The GMRES method is

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