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Evaluating the Overhead of the Performance Profiler Cloudprofiler With MooBench

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Evaluating the Overhead of the Performance Profiler Cloudprofiler With MooBench. / Yang, Shinhyung; Reichelt, David Georg ; Hasselbring, Wilhelm.
In: Softwaretechnik-Trends, 26.11.2024.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Yang S, Reichelt DG, Hasselbring W. Evaluating the Overhead of the Performance Profiler Cloudprofiler With MooBench. Softwaretechnik-Trends. 2024 Nov 26. Epub 2024 Nov 6. doi: 10.48550/arxiv.2411.17413

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Yang, Shinhyung ; Reichelt, David Georg ; Hasselbring, Wilhelm. / Evaluating the Overhead of the Performance Profiler Cloudprofiler With MooBench. In: Softwaretechnik-Trends. 2024.

Bibtex

@article{f4c6bcd5fed94c1e83ef7716673f837d,
title = "Evaluating the Overhead of the Performance Profiler Cloudprofiler With MooBench",
abstract = " Performance engineering has become crucial for the cloud-native architecture. This architecture deploys multiple services, with each service representing an orchestration of containerized processes. OpenTelemetry is growing popular in the cloud-native industry for observing the software's behaviour, and Kieker provides the necessary tools to monitor and analyze the performance of target architectures. Observability overhead is an important aspect of performance engineering and MooBench is designed to compare different observability frameworks, including OpenTelemetry and Kieker. In this work, we measure the overhead of Cloudprofiler, a performance profiler implemented in C++ to measure native and JVM processes. It minimizes the profiling overhead by locating the profiler process outside the target process and moving the disk writing overhead off the critical path with buffer blocks and compression threads. Using MooBench, Cloudprofiler's buffered ID handler with the Zstandard lossless data compression ZSTD showed an average execution time of 2.28 microseconds. It is 6.15 times faster than the non-buffered and non-compression handler.",
author = "Shinhyung Yang and Reichelt, {David Georg} and Wilhelm Hasselbring",
year = "2024",
month = nov,
day = "26",
doi = "10.48550/arxiv.2411.17413",
language = "English",
journal = "Softwaretechnik-Trends",

}

RIS

TY - JOUR

T1 - Evaluating the Overhead of the Performance Profiler Cloudprofiler With MooBench

AU - Yang, Shinhyung

AU - Reichelt, David Georg

AU - Hasselbring, Wilhelm

PY - 2024/11/26

Y1 - 2024/11/26

N2 - Performance engineering has become crucial for the cloud-native architecture. This architecture deploys multiple services, with each service representing an orchestration of containerized processes. OpenTelemetry is growing popular in the cloud-native industry for observing the software's behaviour, and Kieker provides the necessary tools to monitor and analyze the performance of target architectures. Observability overhead is an important aspect of performance engineering and MooBench is designed to compare different observability frameworks, including OpenTelemetry and Kieker. In this work, we measure the overhead of Cloudprofiler, a performance profiler implemented in C++ to measure native and JVM processes. It minimizes the profiling overhead by locating the profiler process outside the target process and moving the disk writing overhead off the critical path with buffer blocks and compression threads. Using MooBench, Cloudprofiler's buffered ID handler with the Zstandard lossless data compression ZSTD showed an average execution time of 2.28 microseconds. It is 6.15 times faster than the non-buffered and non-compression handler.

AB - Performance engineering has become crucial for the cloud-native architecture. This architecture deploys multiple services, with each service representing an orchestration of containerized processes. OpenTelemetry is growing popular in the cloud-native industry for observing the software's behaviour, and Kieker provides the necessary tools to monitor and analyze the performance of target architectures. Observability overhead is an important aspect of performance engineering and MooBench is designed to compare different observability frameworks, including OpenTelemetry and Kieker. In this work, we measure the overhead of Cloudprofiler, a performance profiler implemented in C++ to measure native and JVM processes. It minimizes the profiling overhead by locating the profiler process outside the target process and moving the disk writing overhead off the critical path with buffer blocks and compression threads. Using MooBench, Cloudprofiler's buffered ID handler with the Zstandard lossless data compression ZSTD showed an average execution time of 2.28 microseconds. It is 6.15 times faster than the non-buffered and non-compression handler.

UR - https://fb-swt.gi.de/fileadmin/FB/SWT/Softwaretechnik-Trends/Verzeichnis/Band_44_Heft_4/SSP24_04_camera-ready_0409.pdf

U2 - 10.48550/arxiv.2411.17413

DO - 10.48550/arxiv.2411.17413

M3 - Journal article

JO - Softwaretechnik-Trends

JF - Softwaretechnik-Trends

ER -