research-article

User-centered Offline Analysis of Memory Monitoring Data

Authors:

Markus Weninger,

Philipp Lengauer,

Hanspeter MössenböckAuthors Info & Claims

ICPE '17: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering

Pages 357 - 360

https://doi.org/10.1145/3030207.3030236

Published: 17 April 2017 Publication History

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Abstract

State-of-the-art memory monitoring tools collect lots of raw data. Yet, the analysis of this data is often not well supported. Existing tools restrict the user in the way how to analyze the underlying data, how to process it, and how to visualize it. This results in the dilemma that the raw data often contains more information than what can be exploited. We present a novel user-centric approach, allowing custom offline analysis and visualization of memory monitoring data by employing user-defined classification on heap objects. Putting the user in the center of the analysis process and providing flexible query and classification interfaces can change the way how we monitor memory usage. Our goal is to turn special-purpose memory monitoring tools into more general and customizable tools.

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Cited By

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Weninger MGander EMössenböck H(2021)Guided ExplorationProceedings of the ACM on Human-Computer Interaction10.1145/34617315:EICS(1-34)Online publication date: 29-May-2021
https://dl.acm.org/doi/10.1145/3461731
Weninger MGrünbacher PGander ESchörgenhumer A(2020)Evaluating an Interactive Memory Analysis Tool: Findings from a Cognitive Walkthrough and a User StudyProceedings of the ACM on Human-Computer Interaction10.1145/33949774:EICS(1-37)Online publication date: 18-Jun-2020
https://dl.acm.org/doi/10.1145/3394977
Weninger MMakor LMossenbock H(2020)Memory Cities: Visualizing Heap Memory Evolution Using the Software City Metaphor2020 Working Conference on Software Visualization (VISSOFT)10.1109/VISSOFT51673.2020.00017(110-121)Online publication date: Sep-2020
https://doi.org/10.1109/VISSOFT51673.2020.00017
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Published In

ICPE '17: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering

April 2017

450 pages

ISBN:9781450344043

DOI:10.1145/3030207

General Chairs:
Walter Binder
Università della Svizzera Italiana, Switzerland
,
Vittorio Cortellessa
Università dell'Aquila, Italy
,
Program Chairs:
Anne Koziolek
Karlsruhe Institute of Technology, Germany
,
Evgenia Smirni
College of William & Mary, USA
,
Meikel Poess
Oracle Corporation, USA

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 ACM 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 April 2017

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Research-article

Funding Sources

Christian Doppler Forschungsgesellschaft

Conference

ICPE '17

Sponsor:

ICPE '17: ACM/SPEC International Conference on Performance Engineering

April 22 - 26, 2017

L'Aquila, Italy

Acceptance Rates

ICPE '17 Paper Acceptance Rate 27 of 83 submissions, 33%;

Overall Acceptance Rate 252 of 851 submissions, 30%

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Cited By

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Weninger MGander EMössenböck H(2021)Guided ExplorationProceedings of the ACM on Human-Computer Interaction10.1145/34617315:EICS(1-34)Online publication date: 29-May-2021
https://dl.acm.org/doi/10.1145/3461731
Weninger MGrünbacher PGander ESchörgenhumer A(2020)Evaluating an Interactive Memory Analysis Tool: Findings from a Cognitive Walkthrough and a User StudyProceedings of the ACM on Human-Computer Interaction10.1145/33949774:EICS(1-37)Online publication date: 18-Jun-2020
https://dl.acm.org/doi/10.1145/3394977
Weninger MMakor LMossenbock H(2020)Memory Cities: Visualizing Heap Memory Evolution Using the Software City Metaphor2020 Working Conference on Software Visualization (VISSOFT)10.1109/VISSOFT51673.2020.00017(110-121)Online publication date: Sep-2020
https://doi.org/10.1109/VISSOFT51673.2020.00017
Weninger MGander EMössenböck HHosking AFinocchi I(2019)Detection of suspicious time windows in memory monitoringProceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes10.1145/3357390.3361025(95-104)Online publication date: 21-Oct-2019
https://dl.acm.org/doi/10.1145/3357390.3361025
Weninger MMakor LGander EMössenböck HApte VDi Marco ALitoiu MMerseguer J(2019)AntTracks TrendVizCompanion of the 2019 ACM/SPEC International Conference on Performance Engineering10.1145/3302541.3313100(29-32)Online publication date: 27-Mar-2019
https://dl.acm.org/doi/10.1145/3302541.3313100
Weninger MGander EMössenböck HApte VDi Marco ALitoiu MMerseguer J(2019)Analyzing Data Structure Growth Over Time to Facilitate Memory Leak DetectionProceedings of the 2019 ACM/SPEC International Conference on Performance Engineering10.1145/3297663.3310297(273-284)Online publication date: 4-Apr-2019
https://dl.acm.org/doi/10.1145/3297663.3310297
Weninger MGander EMössenböck HTilevich EMössenböck H(2018)Utilizing object reference graphs and garbage collection roots to detect memory leaks in offline memory monitoringProceedings of the 15th International Conference on Managed Languages & Runtimes10.1145/3237009.3237023(1-13)Online publication date: 12-Sep-2018
https://dl.acm.org/doi/10.1145/3237009.3237023
Weninger MMössenböck HWolter KKnottenbelt Wvan Hoorn ANambiar MKoziolek H(2018)User-defined Classification and Multi-level Grouping of Objects in Memory MonitoringProceedings of the 2018 ACM/SPEC International Conference on Performance Engineering10.1145/3184407.3184412(115-126)Online publication date: 30-Mar-2018
https://dl.acm.org/doi/10.1145/3184407.3184412

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