Efficiency of Buffer Caching in Computing-Intensive Workloads

Hyokyung Bahn

doi:10.1109/ICISCE50968.2020.00120

Efficiency of Buffer Caching in Computing-Intensive Workloads

Hyokyung Bahn

Department of Computer Science & Engineering

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

2 Scopus citations

Abstract

With the recent advent of the fourth industrial revolution, computing-intensive workloads such as big data and machine learning emerge every day. Even though the workloads are computation-intensive, there are file I/Os to access storage, and we need to improve the I/O performance by using buffer caching. This paper analyzes the efficiency of the buffer caching in the emerging computing-intensive workloads, and observes some peculiar I/O patterns, which degrades the performance of the buffer caching significantly. To relieve this problem, we present a new buffer caching scheme for improving the I/O performance of computing-intensive workloads. Simulation experiments with real-world traces show that the proposed buffer caching scheme improves the cache miss rate against the well-known LRU buffer caching policy by 35.2% on average and up to 81.6%.

Original language	English
Title of host publication	Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020
Editors	Shaozi Li, Ying Dai, Jianwei Ma, Yun Cheng
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	548-552
Number of pages	5
ISBN (Electronic)	9781728164069
DOIs	https://doi.org/10.1109/ICISCE50968.2020.00120
State	Published - Dec 2020
Event	7th International Conference on Information Science and Control Engineering, ICISCE 2020 - Changsha, Hunan, China Duration: 18 Dec 2020 → 20 Dec 2020

Publication series

Name	Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020

Conference

Conference	7th International Conference on Information Science and Control Engineering, ICISCE 2020
Country/Territory	China
City	Changsha, Hunan
Period	18/12/20 → 20/12/20

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by the ICT R&D program of MSIP/IITP (2018-0-00549, Extremely scalable order preserving OS for manycore and non-volatile memory) and also by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2019R1A2C1009275).

Publisher Copyright:
© 2020 IEEE.

Keywords

LRU
buffer caching
computing-intensive workload
file I/O
storage

Access to Document

10.1109/ICISCE50968.2020.00120

Cite this

Bahn, H. (2020). Efficiency of Buffer Caching in Computing-Intensive Workloads. In S. Li, Y. Dai, J. Ma, & Y. Cheng (Eds.), Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020 (pp. 548-552). (Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICISCE50968.2020.00120

Bahn, Hyokyung. / Efficiency of Buffer Caching in Computing-Intensive Workloads. Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020. editor / Shaozi Li ; Ying Dai ; Jianwei Ma ; Yun Cheng. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 548-552 (Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020).

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title = "Efficiency of Buffer Caching in Computing-Intensive Workloads",

abstract = "With the recent advent of the fourth industrial revolution, computing-intensive workloads such as big data and machine learning emerge every day. Even though the workloads are computation-intensive, there are file I/Os to access storage, and we need to improve the I/O performance by using buffer caching. This paper analyzes the efficiency of the buffer caching in the emerging computing-intensive workloads, and observes some peculiar I/O patterns, which degrades the performance of the buffer caching significantly. To relieve this problem, we present a new buffer caching scheme for improving the I/O performance of computing-intensive workloads. Simulation experiments with real-world traces show that the proposed buffer caching scheme improves the cache miss rate against the well-known LRU buffer caching policy by 35.2% on average and up to 81.6%.",

keywords = "LRU, buffer caching, computing-intensive workload, file I/O, storage",

author = "Hyokyung Bahn",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by the ICT R&D program of MSIP/IITP (2018-0-00549, Extremely scalable order preserving OS for manycore and non-volatile memory) and also by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2019R1A2C1009275). Publisher Copyright: {\textcopyright} 2020 IEEE.; 7th International Conference on Information Science and Control Engineering, ICISCE 2020 ; Conference date: 18-12-2020 Through 20-12-2020",

year = "2020",

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doi = "10.1109/ICISCE50968.2020.00120",

language = "English",

series = "Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020",

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Bahn, H 2020, Efficiency of Buffer Caching in Computing-Intensive Workloads. in S Li, Y Dai, J Ma & Y Cheng (eds), Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020. Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020, Institute of Electrical and Electronics Engineers Inc., pp. 548-552, 7th International Conference on Information Science and Control Engineering, ICISCE 2020, Changsha, Hunan, China, 18/12/20. https://doi.org/10.1109/ICISCE50968.2020.00120

Efficiency of Buffer Caching in Computing-Intensive Workloads. / Bahn, Hyokyung.
Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020. ed. / Shaozi Li; Ying Dai; Jianwei Ma; Yun Cheng. Institute of Electrical and Electronics Engineers Inc., 2020. p. 548-552 (Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020).

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

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N1 - Funding Information: ACKNOWLEDGMENT This work was supported by the ICT R&D program of MSIP/IITP (2018-0-00549, Extremely scalable order preserving OS for manycore and non-volatile memory) and also by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2019R1A2C1009275). Publisher Copyright: © 2020 IEEE.

PY - 2020/12

Y1 - 2020/12

N2 - With the recent advent of the fourth industrial revolution, computing-intensive workloads such as big data and machine learning emerge every day. Even though the workloads are computation-intensive, there are file I/Os to access storage, and we need to improve the I/O performance by using buffer caching. This paper analyzes the efficiency of the buffer caching in the emerging computing-intensive workloads, and observes some peculiar I/O patterns, which degrades the performance of the buffer caching significantly. To relieve this problem, we present a new buffer caching scheme for improving the I/O performance of computing-intensive workloads. Simulation experiments with real-world traces show that the proposed buffer caching scheme improves the cache miss rate against the well-known LRU buffer caching policy by 35.2% on average and up to 81.6%.

AB - With the recent advent of the fourth industrial revolution, computing-intensive workloads such as big data and machine learning emerge every day. Even though the workloads are computation-intensive, there are file I/Os to access storage, and we need to improve the I/O performance by using buffer caching. This paper analyzes the efficiency of the buffer caching in the emerging computing-intensive workloads, and observes some peculiar I/O patterns, which degrades the performance of the buffer caching significantly. To relieve this problem, we present a new buffer caching scheme for improving the I/O performance of computing-intensive workloads. Simulation experiments with real-world traces show that the proposed buffer caching scheme improves the cache miss rate against the well-known LRU buffer caching policy by 35.2% on average and up to 81.6%.

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ER -

Bahn H. Efficiency of Buffer Caching in Computing-Intensive Workloads. In Li S, Dai Y, Ma J, Cheng Y, editors, Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 548-552. (Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020). doi: 10.1109/ICISCE50968.2020.00120

Efficiency of Buffer Caching in Computing-Intensive Workloads

Abstract

Publication series

Conference

Bibliographical note

Keywords

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