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CSS: Container Resource Manager Using System Call Pattern for Scientific Workflowopen access

Authors
Song, ChunggeonYu, HeonchangLee, Eunyoung
Issue Date
8월-2022
Publisher
MDPI
Keywords
container; dynamic resource manager; scientific workflow; system call
Citation
APPLIED SCIENCES-BASEL, v.12, no.16
Indexed
SCIE
SCOPUS
Journal Title
APPLIED SCIENCES-BASEL
Volume
12
Number
16
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/143833
DOI
10.3390/app12168228
ISSN
2076-3417
Abstract
Multiple containers running scientific workflows in SMP-based high-performance computers generate some bottlenecks due to workload flexibility. To improve system resource utilization by minimizing these bottlenecks, vertical resource management is required to determine an appropriate resource usage policy according to the resource usage type of the container. However, the traditional methods have additional overhead for collecting monitoring metrics, and the structure of the resource manager is complex. In this paper, in order to compensate for these shortcomings, we propose CSS, a dynamic resource manager utilizing system call data collected for security purposes. The CSS utilizes the SBCC algorithm, which uses the number of futex system calls as a heuristic measure to determine the number of IO-intensive workload occurrences. In addition, the CTBRA algorithm is used to determine the range of resources to be allocated for each container and to perform actual resource allocation. We implemented a prototype of CSS and conducted experiments on NPB to analyze the performance of CSS with various types of large-scale tasks of a scientific workflow. As a result of the experiment, it showed a performance improvement of up to 7% compared with the environment where Linux cgroups were not applied. In addition, CANU performance analysis was performed to verify the effectiveness of applications used in the real world, and performance improvement of up to 4.5% was shown.
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