Building Custom, Efficient, and Accurate Memory Monitoring Tools for Java Applications

Verena Bitto; Philipp Lengauer

doi:10.1145/2851553.2858664

Building Custom, Efficient, and Accurate Memory Monitoring Tools for Java Applications

Verena Bitto, Philipp Lengauer

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Traditional monitoring techniques can distort application behavior significantly. In this paper, we will provide an evaluation of state-of-the-art monitoring techniques and their impact on memory behavior. We will use AntTracks to show how VM-internal approaches can extract more diverse memory information at object level, vastly outperforming traditional techniques.

Original language	English
Title of host publication	ICPE '16 Proceedings of the 7th ACM/SPEC on International Conference on Performance Engineering
Place of Publication	New York
Publisher	ACM
Pages	321-324
Number of pages	4
ISBN (Electronic)	9781450340809
ISBN (Print)	978-1-4503-4080-9
DOIs	https://doi.org/10.1145/2851553.2858664
Publication status	Published - 2016

Fields of science

102 Computer Sciences
102009 Computer simulation
102011 Formal languages
102013 Human-computer interaction
102022 Software development
102024 Usability research
102029 Practical computer science

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Access to Document

10.1145/2851553.2858664

Cite this

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title = "Building Custom, Efficient, and Accurate Memory Monitoring Tools for Java Applications",

abstract = "Traditional monitoring techniques can distort application behavior significantly. In this paper, we will provide an evaluation of state-of-the-art monitoring techniques and their impact on memory behavior. We will use AntTracks to show how VM-internal approaches can extract more diverse memory information at object level, vastly outperforming traditional techniques.",

author = "Verena Bitto and Philipp Lengauer",

year = "2016",

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language = "English",

isbn = "978-1-4503-4080-9",

pages = "321--324",

booktitle = "ICPE '16 Proceedings of the 7th ACM/SPEC on International Conference on Performance Engineering",

publisher = "ACM",

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AU - Bitto, Verena

AU - Lengauer, Philipp

PY - 2016

Y1 - 2016

N2 - Traditional monitoring techniques can distort application behavior significantly. In this paper, we will provide an evaluation of state-of-the-art monitoring techniques and their impact on memory behavior. We will use AntTracks to show how VM-internal approaches can extract more diverse memory information at object level, vastly outperforming traditional techniques.

AB - Traditional monitoring techniques can distort application behavior significantly. In this paper, we will provide an evaluation of state-of-the-art monitoring techniques and their impact on memory behavior. We will use AntTracks to show how VM-internal approaches can extract more diverse memory information at object level, vastly outperforming traditional techniques.

UR - https://www.scopus.com/pages/publications/85019024259

U2 - 10.1145/2851553.2858664

DO - 10.1145/2851553.2858664

M3 - Conference proceedings

SN - 978-1-4503-4080-9

SP - 321

EP - 324

BT - ICPE '16 Proceedings of the 7th ACM/SPEC on International Conference on Performance Engineering

PB - ACM

CY - New York

ER -

Building Custom, Efficient, and Accurate Memory Monitoring Tools for Java Applications

Abstract

Fields of science

JKU Focus areas

Access to Document

Other files and links

Christian Doppler Labor für Monitoring and Evolution of Very-Large-Scale Software Systems

Cite this

Building Custom, Efficient, and Accurate Memory Monitoring Tools for Java Applications

Abstract

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

Christian Doppler Labor für Monitoring and Evolution of Very-Large-Scale Software Systems

Cite this