'Replica location service' diaporamas de présentation

Chapter 4:- Introduction to Grid and its Evolution

Chapter 4:- Introduction to Grid and its Evolution. Prepared By:- NITIN PANDYA Assistant Professor SVBIT. Overview. Background: What is the Grid? Related technologies Grid applications Communities Grid Tools Case Studies. What is a Grid?.

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EGEE is a project funded by the European Union under contract IST-2003-508833

Grid Data Management Gabor Hermann o n the base of lecture of Simone Campana LCG Experiment Integration and Support CERN IT. www.eu-egee.org. EGEE is a project funded by the European Union under contract IST-2003-508833. Overview. Introduction on Data Management (DM) General Concepts

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Middleware components in EGEE Mike Mineter NeSC Training team mjm@nesc.ac.uk

Middleware components in EGEE Mike Mineter NeSC Training team mjm@nesc.ac.uk. http://egee-intranet.web.cern.ch. Acknowledgements. This presentation includes slides and information from many sources:

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Low Level Grid Services (Job Management, Data Management, Monitoring Services)

Low Level Grid Services (Job Management, Data Management, Monitoring Services). Ravi K Madduri Argonne National Laboratory University of Chicago. Services Overview. Installation Data Management GridFTP, RFT, RLS, DAIS Resource Management Schedulers, logs, sudo Information Services

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Grid Tools

Grid Tools. Jai Dayal & Casey Rathbone. Outline. Web Services Unicore BOINC Globus Condor. Web Services.

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Grid Computing Software Components of Globus 4.0

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Future Developments in EDG

Future Developments in EDG. The European DataGrid Project Team http://www.eu-datagrid.org. Overview. Where is the DataGRID project going? Future developments in the EDG middleware What you can expect to see in future releases of the software WebServices and Open Grid Services Architecture

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Pegasus: Mapping Scientific Workflows onto the Grid

Pegasus: Mapping Scientific Workflows onto the Grid . Ewa Deelman Center for Grid Technologies USC Information Sciences Institute. Pegasus Acknowledgements.

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ICGrid: Intensive Care Grid

ICGrid: Intensive Care Grid. Demetris Zeinalipour School of Pure and Applied Sciences, Open University of Cyprus, Cyprus Marios D. Dikaiakos, Harald Gjermundrod, Marios Papa, Nikolas Stylianides Dept. of Computer Science - University of Cyprus, Cyprus Theodoros Kyprianou and George Panayi

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Giggle: A Framework for Constructing Scalable Replica Location Services

Giggle: A Framework for Constructing Scalable Replica Location Services. Ann Chervenak, Ewa Deelman, Ian Foster, Leanne Guy, Wolfgang Hoschekk, Adriana Iamnitchi, Carl Kesselman, Peter Kunszt, Matei Ripeanu, Robert Schwartzkopf, Heinz Stockinger, Kurt Stockinger, Brian Tierney.

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Earth System Grid - ESG

Earth System Grid - ESG. Toni Saarinen, Tite4 Tomi Ruuska, Tite4. ESG Overview. Earth System Grid enables management, discovery, distributed access, processing and analysis of distributed terascale climate research data

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Redundant Parallel File Transfer with Anticipative Adjustment Mechanism in Data Grids

Redundant Parallel File Transfer with Anticipative Adjustment Mechanism in Data Grids. Chao-Tung Yang, Yao-Chun Chi, Chun-Pin Fu, High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University, Taichung City, 40704, Taiwan R.O.C.

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Data Management for Internet Backplane Protocol

Data Management for Internet Backplane Protocol. by Tang Ming Assoc/Prof. Francis Lee. School of Computer Engineering, Nanyang Technological University, Singapore. 0. Outline. Introduction The Logistical Networking & Globus Replica Catalog

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IT-DB Physics Services Planning for LHC start-up Maria Girone, IT-DB 6 July 2004

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The Replica Management Services: Reptor

The Replica Management Services: Reptor. Replica Management Services Framework. Replica Manager component glossary. ERM: EDG Replica Manager client interface and API Entry point for all clients ROS: Replication Optimization Service Replica selection based on network metrics (WP7)

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Glue schema

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The Replica Location Service

The Replica Location Service. In wide area computing systems, it is often desirable to create copies (replicas) of data objects. Replication can be used to reduce access latency, improve data locality, and increase robustness, scalability and performance for distributed applications.

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THE REPLICA LOCATION SERVICE The Globus Project and the DataGrid Project

THE REPLICA LOCATION SERVICE The Globus Project and the DataGrid Project. Replication in Data Grids. Large data sets are frequently replicated to: Reduce access latency Maintain local control over necessary data Improve reliability and load balancing.

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