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The Service Analysis and Network Diagnosis DataPipeline
Modern network performance monitoring toolkits, such as perfSONAR, take a remarkable number of measurements about the local network environment. To gain a complete picture of network performance, however, one needs to aggregate data across a large number of endpoints. The Service Analysis and Networ...
Autores principales: | , , , , , |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2792359 |
_version_ | 1780972352887062528 |
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author | Weitzel, Derek McKee, Shawn Bockelman, Brian Paul Thiltges, John Babik, Marian Vukotic, Ilija |
author_facet | Weitzel, Derek McKee, Shawn Bockelman, Brian Paul Thiltges, John Babik, Marian Vukotic, Ilija |
author_sort | Weitzel, Derek |
collection | CERN |
description | Modern network performance monitoring toolkits, such as perfSONAR, take a remarkable number of measurements about the local network environment. To gain a complete picture of network performance, however, one needs to aggregate data across a large number of endpoints. The Service Analysis and Network Diagnosis (SAND) data pipeline collects data from diverse sources and ingests these measurements into a message bus. The message bus allows the project to send the data to multiple consumers, including a tape archive, an Elasticsearch database, and a peer infrastructure at CERN. In this paper, we explain the architecture and evolution of the SAND data pipeline, the scale of the resulting dataset, and how it supports a wide variety of network analysis applications. |
id | cern-2792359 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2021 |
record_format | invenio |
spelling | cern-27923592021-12-17T09:01:56Zhttp://cds.cern.ch/record/2792359engWeitzel, DerekMcKee, ShawnBockelman, Brian PaulThiltges, JohnBabik, MarianVukotic, IlijaThe Service Analysis and Network Diagnosis DataPipelinehep-exParticle Physics - Experimentcs.NIComputing and ComputersModern network performance monitoring toolkits, such as perfSONAR, take a remarkable number of measurements about the local network environment. To gain a complete picture of network performance, however, one needs to aggregate data across a large number of endpoints. The Service Analysis and Network Diagnosis (SAND) data pipeline collects data from diverse sources and ingests these measurements into a message bus. The message bus allows the project to send the data to multiple consumers, including a tape archive, an Elasticsearch database, and a peer infrastructure at CERN. In this paper, we explain the architecture and evolution of the SAND data pipeline, the scale of the resulting dataset, and how it supports a wide variety of network analysis applications.arXiv:2112.03074oai:cds.cern.ch:27923592021-12-06 |
spellingShingle | hep-ex Particle Physics - Experiment cs.NI Computing and Computers Weitzel, Derek McKee, Shawn Bockelman, Brian Paul Thiltges, John Babik, Marian Vukotic, Ilija The Service Analysis and Network Diagnosis DataPipeline |
title | The Service Analysis and Network Diagnosis DataPipeline |
title_full | The Service Analysis and Network Diagnosis DataPipeline |
title_fullStr | The Service Analysis and Network Diagnosis DataPipeline |
title_full_unstemmed | The Service Analysis and Network Diagnosis DataPipeline |
title_short | The Service Analysis and Network Diagnosis DataPipeline |
title_sort | service analysis and network diagnosis datapipeline |
topic | hep-ex Particle Physics - Experiment cs.NI Computing and Computers |
url | http://cds.cern.ch/record/2792359 |
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