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Data Logistics in Network Computing

In distributed computing environments, performance is often dominated by the time that it takes to move data over a network. In the case of data-centric applications, or Data Grids, this problem of data movement becomes one of the overriding concerns. This talk describes techniques for improving dat...

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Detalles Bibliográficos
Autores principales: Swany, Martin, Marquina, Miguel Angel
Lenguaje:eng
Publicado: 2005
Materias:
Acceso en línea:http://cds.cern.ch/record/975181
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author Swany, Martin
Marquina, Miguel Angel
author_facet Swany, Martin
Marquina, Miguel Angel
author_sort Swany, Martin
collection CERN
description In distributed computing environments, performance is often dominated by the time that it takes to move data over a network. In the case of data-centric applications, or Data Grids, this problem of data movement becomes one of the overriding concerns. This talk describes techniques for improving data movement in Grid environments that we refer to as 'logistics.' We demonstrate that by using storage and cooperative forwarding 'in' the network, we can improve end to end throughput in many cases. Our approach offers clear performance benefits for high-bandwidth, high-latency networks. This talk will introduce the Logistical Session Layer (LSL) and provide experimental results from that system.
id cern-975181
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2005
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spelling cern-9751812022-11-02T22:28:11Zhttp://cds.cern.ch/record/975181engSwany, MartinMarquina, Miguel AngelData Logistics in Network ComputingComputing and ComputersIn distributed computing environments, performance is often dominated by the time that it takes to move data over a network. In the case of data-centric applications, or Data Grids, this problem of data movement becomes one of the overriding concerns. This talk describes techniques for improving data movement in Grid environments that we refer to as 'logistics.' We demonstrate that by using storage and cooperative forwarding 'in' the network, we can improve end to end throughput in many cases. Our approach offers clear performance benefits for high-bandwidth, high-latency networks. This talk will introduce the Logistical Session Layer (LSL) and provide experimental results from that system.oai:cds.cern.ch:9751812005-04-18
spellingShingle Computing and Computers
Swany, Martin
Marquina, Miguel Angel
Data Logistics in Network Computing
title Data Logistics in Network Computing
title_full Data Logistics in Network Computing
title_fullStr Data Logistics in Network Computing
title_full_unstemmed Data Logistics in Network Computing
title_short Data Logistics in Network Computing
title_sort data logistics in network computing
topic Computing and Computers
url http://cds.cern.ch/record/975181
work_keys_str_mv AT swanymartin datalogisticsinnetworkcomputing
AT marquinamiguelangel datalogisticsinnetworkcomputing