Challenges and Solutions for Tracing Storage Systems: A Case Study with Spectrum Scale

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
  • Marc-Andre Vef
  • Vasily Tarasov
  • Dean Hildebrand
  • Andre Brinkmann
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000434635800007&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1145/3149376
eISSN
1553-3093
Externe Identifier
  • Clarivate Analytics Document Solution ID: GI6TM
ISSN
1553-3077
Ausgabe der Veröffentlichung
2
Zeitschrift
ACM TRANSACTIONS ON STORAGE
Schlüsselwörter
  • Parallel file system
  • GPFS
  • trace analysis
  • performance
Artikelnummer
ARTN 18
Datum der Veröffentlichung
2018
Status
Published
Titel
Challenges and Solutions for Tracing Storage Systems: A Case Study with Spectrum Scale
Sub types
  • Article
Ausgabe der Zeitschrift
14

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Abstract
<jats:p>IBM Spectrum Scale’s parallel file system General Parallel File System (GPFS) has a 20-year development history with over 100 contributing developers. Its ability to support strict POSIX semantics across more than 10K clients leads to a complex design with intricate interactions between the cluster nodes. Tracing has proven to be a vital tool to understand the behavior and the anomalies of such a complex software product. However, the necessary trace information is often buried in hundreds of gigabytes of by-product trace records. Further, the overhead of tracing can significantly impact running applications and file system performance, limiting the use of tracing in a production system.</jats:p> <jats:p> In this research article, we discuss the evolution of the mature and highly scalable GPFS tracing tool and present the exploratory study of GPFS’ new tracing interface, <jats:italic>FlexTrace</jats:italic> , which allows developers and users to accurately specify what to trace for the problem they are trying to solve. We evaluate our methodology and prototype, demonstrating that the proposed approach has negligible overhead, even under intensive I/O workloads and with low-latency storage devices. </jats:p>
Autoren
  • Marc-André Vef
  • Vasily Tarasov
  • Dean Hildebrand
  • André Brinkmann
DOI
10.1145/3149376
eISSN
1553-3093
ISSN
1553-3077
Ausgabe der Veröffentlichung
2
Zeitschrift
ACM Transactions on Storage
Sprache
en
Online publication date
2018
Paginierung
1 - 24
Datum der Veröffentlichung
2018
Status
Published
Herausgeber
Association for Computing Machinery (ACM)
Herausgeber URL
http://dx.doi.org/10.1145/3149376
Datum der Datenerfassung
2022
Titel
Challenges and Solutions for Tracing Storage Systems
Ausgabe der Zeitschrift
14

Datenquelle: Crossref

Autoren
  • Marc-Andre Vef
  • Vasily Tarasov
  • Dean Hildebrand
  • André Brinkmann
Zeitschrift
ACM Trans. Storage
Artikelnummer
2
Paginierung
18:1 - 18:1
Datum der Veröffentlichung
2018
Titel
Challenges and Solutions for Tracing Storage Systems: A Case Study with Spectrum Scale.
Ausgabe der Zeitschrift
14

Datenquelle: DBLP

Abstract
IBM Spectrum Scale’s parallel file system General Parallel File System (GPFS) has a 20-year development history with over 100 contributing developers. Its ability to support strict POSIX semantics across more than 10K clients leads to a complex design with intricate interactions between the cluster nodes. Tracing has proven to be a vital tool to understand the behavior and the anomalies of such a complex software product. However, the necessary trace information is often buried in hundreds of gigabytes of by-product trace records. Further, the overhead of tracing can significantly impact running applications and file system performance, limiting the use of tracing in a production system. In this research article, we discuss the evolution of the mature and highly scalable GPFS tracing tool and present the exploratory study of GPFS’ new tracing interface, FlexTrace, which allows developers and users to accurately specify what to trace for the problem they are trying to solve. We evaluate our methodology and prototype, demonstrating that the proposed approach has negligible overhead, even under intensive I/O workloads and with low-latency storage devices.
Autoren
  • Marc-André Vef
  • Vasily Tarasov
  • Dean Hildebrand
  • André Brinkmann
Autoren-URL
https://seafile.rlp.net/f/619df4b4b27e44318ead/
DOI
10.1145/3149376
Zeitschrift
ACM Transactions on Storage (ToS)
Artikelnummer
2
Paginierung
18:1 - 18:24
Datum der Veröffentlichung
2018
Datum der Datenerfassung
2020
Titel
Challenges and Solutions for Tracing Storage Systems: A Case Study with Spectrum Scale
Ausgabe der Zeitschrift
14

Datenquelle: Manual

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