The Quest to solve the HL-LHC data access puzzle

HL-LHC will confront the WLCG community with enormous data storage, management and access challenges. These are as much technical as economical. In the WLCG-DOMA Access working group, members of the experiments and site managers have explored different models for data access and storage strategies t...

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Main Authors: Espinal X., Jezequel S., Schulz M., Sciabà A., Vukotic I., Wuerthwein F.
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_04027.pdf
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spelling doaj-e8c5ed8cd6584af2b11fb6d4bb275e732021-08-02T16:20:46ZengEDP SciencesEPJ Web of Conferences2100-014X2020-01-012450402710.1051/epjconf/202024504027epjconf_chep2020_04027The Quest to solve the HL-LHC data access puzzleEspinal X.0Jezequel S.1Schulz M.2Sciabà A.3Vukotic I.4Wuerthwein F.5European Organisation for Nuclear Research (CERN)LAPP, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS/IN2P3European Organisation for Nuclear Research (CERN)European Organisation for Nuclear Research (CERN)University of ChicagoUniversity of CaliforniaHL-LHC will confront the WLCG community with enormous data storage, management and access challenges. These are as much technical as economical. In the WLCG-DOMA Access working group, members of the experiments and site managers have explored different models for data access and storage strategies to reduce cost and complexity, taking into account the boundary conditions given by our community.Several of these scenarios have been evaluated quantitatively, such as the Data Lake model and incremental improvements of the current computing model with respect to resource needs, costs and operational complexity.To better understand these models in depth, analysis of traces of current data accesses and simulations of the impact of new concepts have been carried out. In parallel, evaluations of the required technologies took place. These were done in testbed and production environments at small and large scale.We will give an overview of the activities and results of the working group, describe the models and summarise the results of the technology evaluation focusing on the impact of storage consolidation in the form of Data Lakes, where the use of streaming caches has emerged as a successful approach to reduce the impact of latency and bandwidth limitation.We will describe the experience and evaluation of these approaches in different environments and usage scenarios. In addition we will present the results of the analysis and modelling efforts based on data access traces of the experiments.https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_04027.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Espinal X.
Jezequel S.
Schulz M.
Sciabà A.
Vukotic I.
Wuerthwein F.
spellingShingle Espinal X.
Jezequel S.
Schulz M.
Sciabà A.
Vukotic I.
Wuerthwein F.
The Quest to solve the HL-LHC data access puzzle
EPJ Web of Conferences
author_facet Espinal X.
Jezequel S.
Schulz M.
Sciabà A.
Vukotic I.
Wuerthwein F.
author_sort Espinal X.
title The Quest to solve the HL-LHC data access puzzle
title_short The Quest to solve the HL-LHC data access puzzle
title_full The Quest to solve the HL-LHC data access puzzle
title_fullStr The Quest to solve the HL-LHC data access puzzle
title_full_unstemmed The Quest to solve the HL-LHC data access puzzle
title_sort quest to solve the hl-lhc data access puzzle
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2020-01-01
description HL-LHC will confront the WLCG community with enormous data storage, management and access challenges. These are as much technical as economical. In the WLCG-DOMA Access working group, members of the experiments and site managers have explored different models for data access and storage strategies to reduce cost and complexity, taking into account the boundary conditions given by our community.Several of these scenarios have been evaluated quantitatively, such as the Data Lake model and incremental improvements of the current computing model with respect to resource needs, costs and operational complexity.To better understand these models in depth, analysis of traces of current data accesses and simulations of the impact of new concepts have been carried out. In parallel, evaluations of the required technologies took place. These were done in testbed and production environments at small and large scale.We will give an overview of the activities and results of the working group, describe the models and summarise the results of the technology evaluation focusing on the impact of storage consolidation in the form of Data Lakes, where the use of streaming caches has emerged as a successful approach to reduce the impact of latency and bandwidth limitation.We will describe the experience and evaluation of these approaches in different environments and usage scenarios. In addition we will present the results of the analysis and modelling efforts based on data access traces of the experiments.
url https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_04027.pdf
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