NoSQL Database Performance Diagnosis through System Call-level Introspection

Changho Seo; Yunchang Chae; Jaeryun Lee; Euiseong Seo; Byungchul Tak

doi:10.1109/NOMS54207.2022.9789934

NoSQL Database Performance Diagnosis through System Call-level Introspection

Changho Seo, Yunchang Chae, Jaeryun Lee, Euiseong Seo, Byungchul Tak

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

1 Scopus citations

Abstract

Since its emergence, NoSQL databases have firmly established themselves as an indispensable software component of modern cloud-native applications. However, it also becomes increasingly challenging to perform critical management tasks such as troubleshooting unexpected performance problems. This is due to the ever-increasing diversity and specialization of NoSQL databases that make it difficult to observe the internal activities. To address these challenges, we have designed and built a technique for introspecting NoSQL databases. Our technique traces system call sequences of key operations under controlled workloads and filters scaling patterns from constant components. Novel algorithms are developed to uncover repeating patterns of system calls from massive amounts of traces and filter out background noise with high efficiency. The evaluation shows that our technique can greatly enhance the visibility into the NoSQL databases enabling us to diagnose performance problems or gain insights into internal activities.

Original language	English
Title of host publication	Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022
Subtitle of host publication	Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022
Editors	Pal Varga, Lisandro Zambenedetti Granville, Alex Galis, Istvan Godor, Noura Limam, Prosper Chemouil, Jerome Francois, Marc-Oliver Pahl
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665406017
DOIs	https://doi.org/10.1109/NOMS54207.2022.9789934
State	Published - 2022
Event	2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022 - Budapest, Hungary Duration: 25 Apr 2022 → 29 Apr 2022

Publication series

Name	Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022

Conference

Conference	2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022
Country/Territory	Hungary
City	Budapest
Period	25/04/22 → 29/04/22

Keywords

Introspection
NoSQL database
Performance diagnosis
Resource Consumption Model
System Call
Visibility

Access to Document

10.1109/NOMS54207.2022.9789934

Cite this

Seo, C., Chae, Y., Lee, J., Seo, E., & Tak, B. (2022). NoSQL Database Performance Diagnosis through System Call-level Introspection. In P. Varga, L. Z. Granville, A. Galis, I. Godor, N. Limam, P. Chemouil, J. Francois, & M.-O. Pahl (Eds.), Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022 (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NOMS54207.2022.9789934

Seo, Changho ; Chae, Yunchang ; Lee, Jaeryun et al. / NoSQL Database Performance Diagnosis through System Call-level Introspection. Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. editor / Pal Varga ; Lisandro Zambenedetti Granville ; Alex Galis ; Istvan Godor ; Noura Limam ; Prosper Chemouil ; Jerome Francois ; Marc-Oliver Pahl. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022).

@inproceedings{4371ce7ef9824694ab87fbcc5b38c426,

title = "NoSQL Database Performance Diagnosis through System Call-level Introspection",

abstract = "Since its emergence, NoSQL databases have firmly established themselves as an indispensable software component of modern cloud-native applications. However, it also becomes increasingly challenging to perform critical management tasks such as troubleshooting unexpected performance problems. This is due to the ever-increasing diversity and specialization of NoSQL databases that make it difficult to observe the internal activities. To address these challenges, we have designed and built a technique for introspecting NoSQL databases. Our technique traces system call sequences of key operations under controlled workloads and filters scaling patterns from constant components. Novel algorithms are developed to uncover repeating patterns of system calls from massive amounts of traces and filter out background noise with high efficiency. The evaluation shows that our technique can greatly enhance the visibility into the NoSQL databases enabling us to diagnose performance problems or gain insights into internal activities.",

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author = "Changho Seo and Yunchang Chae and Jaeryun Lee and Euiseong Seo and Byungchul Tak",

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Seo, C, Chae, Y, Lee, J, Seo, E & Tak, B 2022, NoSQL Database Performance Diagnosis through System Call-level Introspection. in P Varga, LZ Granville, A Galis, I Godor, N Limam, P Chemouil, J Francois & M-O Pahl (eds), Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022, Budapest, Hungary, 25/04/22. https://doi.org/10.1109/NOMS54207.2022.9789934

NoSQL Database Performance Diagnosis through System Call-level Introspection. / Seo, Changho; Chae, Yunchang; Lee, Jaeryun et al.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. ed. / Pal Varga; Lisandro Zambenedetti Granville; Alex Galis; Istvan Godor; Noura Limam; Prosper Chemouil; Jerome Francois; Marc-Oliver Pahl. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022).

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

TY - GEN

T1 - NoSQL Database Performance Diagnosis through System Call-level Introspection

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AU - Chae, Yunchang

AU - Lee, Jaeryun

AU - Seo, Euiseong

AU - Tak, Byungchul

PY - 2022

Y1 - 2022

N2 - Since its emergence, NoSQL databases have firmly established themselves as an indispensable software component of modern cloud-native applications. However, it also becomes increasingly challenging to perform critical management tasks such as troubleshooting unexpected performance problems. This is due to the ever-increasing diversity and specialization of NoSQL databases that make it difficult to observe the internal activities. To address these challenges, we have designed and built a technique for introspecting NoSQL databases. Our technique traces system call sequences of key operations under controlled workloads and filters scaling patterns from constant components. Novel algorithms are developed to uncover repeating patterns of system calls from massive amounts of traces and filter out background noise with high efficiency. The evaluation shows that our technique can greatly enhance the visibility into the NoSQL databases enabling us to diagnose performance problems or gain insights into internal activities.

AB - Since its emergence, NoSQL databases have firmly established themselves as an indispensable software component of modern cloud-native applications. However, it also becomes increasingly challenging to perform critical management tasks such as troubleshooting unexpected performance problems. This is due to the ever-increasing diversity and specialization of NoSQL databases that make it difficult to observe the internal activities. To address these challenges, we have designed and built a technique for introspecting NoSQL databases. Our technique traces system call sequences of key operations under controlled workloads and filters scaling patterns from constant components. Novel algorithms are developed to uncover repeating patterns of system calls from massive amounts of traces and filter out background noise with high efficiency. The evaluation shows that our technique can greatly enhance the visibility into the NoSQL databases enabling us to diagnose performance problems or gain insights into internal activities.

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M3 - Conference contribution

AN - SCOPUS:85133152883

T3 - Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022

BT - Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022

A2 - Varga, Pal

A2 - Granville, Lisandro Zambenedetti

A2 - Galis, Alex

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A2 - Chemouil, Prosper

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Seo C, Chae Y, Lee J, Seo E, Tak B. NoSQL Database Performance Diagnosis through System Call-level Introspection. In Varga P, Granville LZ, Galis A, Godor I, Limam N, Chemouil P, Francois J, Pahl MO, editors, Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022). doi: 10.1109/NOMS54207.2022.9789934

NoSQL Database Performance Diagnosis through System Call-level Introspection

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Keywords

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