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High latency cause detection using multilevel dynamic analysis

Naser Ezzati-Jivan, Genevieve Bastien and Michel R. Dagenais

Conference or Workshop Item - Paper (2018)

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Cite this document: Ezzati-Jivan, N., Bastien, G. & Dagenais, M. R. (2018, April). High latency cause detection using multilevel dynamic analysis. Paper presented at Annual IEEE International Systems Conference (SysCon 2018), Vancouver, Canada (8 pages). doi:10.1109/syscon.2018.8369613
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Abstract

The performance of applications remains a major concern to programmers. An unexpected latency can be caused by a bug or a bad program design, but it can also be caused by external factors such as resource contention or system overload. There exist tools, program profilers, that are used to detect latency. These tools, however, provide a limited view of a system's execution. For example, user space profilers can only detect slow functions but are unable to pinpoint the root causes-whether the problem comes from a slow I/O operation, interrupt, lock contention, or other problems. Kernel tracers, on the other hand, are able to collect detailed information about the operating system execution at various levels from hardware counters to system calls, disks, network I/O, etc, from which the main performance problems can be detected. In this paper, we combine user space and kernel space tracing data to understand and diagnose system performance problems and to guide users to identify the root causes. Our approach works by making a single data model by synchronizing and correlating the data gathered from different layers. We show the effectiveness of our approach by applying it to understand the latency of PHP web applications in handling web requests.

Open Access document in PolyPublie
Subjects: 2700 Technologie de l'information > 2706 Génie logiciel
2700 Technologie de l'information > 2715 Optimisation
Department: Département de génie informatique et génie logiciel
Research Center: Non applicable
Funders: CRSNG/NSERC
Date Deposited: 17 Feb 2020 12:49
Last Modified: 08 Apr 2021 10:42
PolyPublie URL: https://publications.polymtl.ca/4203/
Document issued by the official publisher
Conference Title: Annual IEEE International Systems Conference (SysCon 2018)
Conference Location: Vancouver, Canada
Conference Date(s): 2018-04-23 - 2018-04-26
Official URL: https://doi.org/10.1109/syscon.2018.8369613

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