research-article

Enabling comprehensive data-driven system management for large computational facilities

Authors:

James C. Browne,

Robert L. DeLeon,

Matthew D. Jones,

Steven M. Gallo,

Amin Ghadersohi,

Abani K. Patra,

William L. Barth,

Thomas R. Furlani,

Robert T. McLayAuthors Info & Claims

SC '13: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis

Article No.: 86, Pages 1 - 11

https://doi.org/10.1145/2503210.2503230

Published: 17 November 2013 Publication History

Abstract

This paper presents a tool chain, based on the open source tool TACC_Stats, for systematic and comprehensive job level resource use measurement for large cluster computers, and its incorporation into XDMoD, a reporting and analytics framework for resource management that targets meeting the information needs of users, application developers, systems administrators, systems management and funding managers. Accounting, scheduler and event logs are integrated with system performance data from TACC_Stats. TACC_Stats periodically records resource use including many hardware counters for each job running on each node. Furthermore, system level metrics are obtained through aggregation of the node (job) level data. Analysis of this data generates many types of standard and custom reports and even a limited predictive capability that has not previously been available for open-source, Linux-based software systems. This paper presents case studies of information that can be applied for effective resource management. We believe this system to be the first fully comprehensive system for supporting the information needs of all stakeholders in open-source software based HPC systems.

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Cited By

Захаров ИПанарин ОРыкованов СЗагидуллин РМалютин АШкандыбин ЮЕрмекова А(2021)Monitoring applications on the ZHORES cluster at SkoltechProgram Systems: Theory and ApplicationsПрограммные системы: теория и приложения10.25209/2079-3316-2021-12-2-73-10312:2(73-103)Online publication date: 2021
https://doi.org/10.25209/2079-3316-2021-12-2-73-103
ChuahM EJhumka AAlt SEvans RSuri N(2021)Failure Diagnosis for Cluster Systems using Partial Correlations2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00151(1091-1101)Online publication date: Sep-2021
https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00151
Sperhac JDeLeon RWhite JJones MBruno AIvey RFurlani TBard JChaudhary V(2020)Towards Performant Workflows, Monitoring and Measuring2020 29th International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN49398.2020.9209647(1-9)Online publication date: Aug-2020
https://doi.org/10.1109/ICCCN49398.2020.9209647
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cover image ACM Conferences

SC '13: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis

November 2013

1123 pages

ISBN:9781450323789

DOI:10.1145/2503210

General Chair:
William Gropp
University of Illinois at Urbana-Champaign, Urbana, Illinois
,
Program Chair:
Satoshi Matsuoka
Tokyo Institute of Technology, Tokyo, Japan

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 17 November 2013

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SC13: International Conference for High Performance Computing, Networking, Storage and Analysis

November 17 - 21, 2013

Colorado, Denver

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SC '13 Paper Acceptance Rate 91 of 449 submissions, 20%;

Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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Cited By

Захаров ИПанарин ОРыкованов СЗагидуллин РМалютин АШкандыбин ЮЕрмекова А(2021)Monitoring applications on the ZHORES cluster at SkoltechProgram Systems: Theory and ApplicationsПрограммные системы: теория и приложения10.25209/2079-3316-2021-12-2-73-10312:2(73-103)Online publication date: 2021
https://doi.org/10.25209/2079-3316-2021-12-2-73-103
ChuahM EJhumka AAlt SEvans RSuri N(2021)Failure Diagnosis for Cluster Systems using Partial Correlations2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00151(1091-1101)Online publication date: Sep-2021
https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00151
Sperhac JDeLeon RWhite JJones MBruno AIvey RFurlani TBard JChaudhary V(2020)Towards Performant Workflows, Monitoring and Measuring2020 29th International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN49398.2020.9209647(1-9)Online publication date: Aug-2020
https://doi.org/10.1109/ICCCN49398.2020.9209647
Li JAli GNguyen NHass JSill ADang TChen Y(2020)MonSTer: An Out-of-the-Box Monitoring Tool for High Performance Computing Systems2020 IEEE International Conference on Cluster Computing (CLUSTER)10.1109/CLUSTER49012.2020.00022(119-129)Online publication date: Sep-2020
https://doi.org/10.1109/CLUSTER49012.2020.00022
Sperhac JDeLeon RFurlani TGallo SInnus MJones MPalmer JPatra APlessinger BRathsam RSimakov NWhite JChakraborty RDean G(2019)Managing computational gateway resources with XDMoDFuture Generation Computer Systems10.1016/j.future.2019.03.02998:C(154-166)Online publication date: 1-Sep-2019
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Sperhac JPlessinger BPalmer JChakraborty RDean GInnus MRathsam RSimakov NWhite JFurlani TGallo SDeLeon RJones MCornelius CPatra A(2018)Federating XDMoD to Monitor Affiliated Computing Resources2018 IEEE International Conference on Cluster Computing (CLUSTER)10.1109/CLUSTER.2018.00074(580-589)Online publication date: Sep-2018
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Evans RBrowne JBarth W(2016)Understanding Application and System Performance Through System-Wide Monitoring2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)10.1109/IPDPSW.2016.145(1702-1710)Online publication date: May-2016
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Yoo WKoo MCao YSim ANugent PWu K(2016)Performance Analysis Tool for HPC and Big Data Applications on Scientific ClustersConquering Big Data with High Performance Computing10.1007/978-3-319-33742-5_7(139-161)Online publication date: 17-Sep-2016
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Birngruber EForai PZauner ABording CGamblin THansper V(2015)Total recallProceedings of the Second International Workshop on HPC User Support Tools10.1145/2834996.2835001(1-12)Online publication date: 15-Nov-2015
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DeLeon RFurlani TGallo SWhite JJones MPatra AInnus MYearke TPalmer JSperhac JRathsam RSimakov Nvon Laszewski GWang FPeterson G(2015)TAS view of XSEDE users and usageProceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure10.1145/2792745.2792766(1-8)Online publication date: 26-Jul-2015
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