research-article

Public Access

Energy Implications of IO Interface Design Choices

Authors:

Sidharth Sundar,

William Simpson,

Caeden Whitaker,

Nihat AltiparmakAuthors Info & Claims

HotStorage '23: Proceedings of the 15th ACM Workshop on Hot Topics in Storage and File Systems

Pages 58 - 64

https://doi.org/10.1145/3599691.3603411

Published: 10 July 2023 Publication History

Abstract

With the availability of high performance storage technology, there is extra pressure on the efficiency of IO interfaces. In addition to the popular POSIX synchronous, POSIX asynchronous, and Linux asynchronous (libaio) IO interfaces, there are two recent interfaces, spdk and io_uring, that are increasingly attracting attention with their high performance asynchronous designs. While providing high performance IO is crucial, it is also essential to do so in an energy-aware manner. In this paper, we study the energy implications of IO interface design choices and how these choices impact a system's energy consumption. Our empirical evaluation using a power meter, an ultra-low latency storage device, and various workload behaviors including single and multiple thread scenarios allow us to lay out the most energy efficient design choices, with the goal of yielding energy-aware high-performance storage stack designs.

References

[1]

2012. Linux Asynchronous I/O Explained. https://www.fsl.cs.sunysb.edu/~vass/linux-aio.txt.

[2]

2021. aio - POSIX asynchronous I/O overview. https://man7.org/linux/man-pages/man7/aio.7.html.

[3]

2021. read(2) - Linux manual page. https://man7.org/linux/man-pages/man2/read.2.html.

[4]

Jens Axboe. 2019. Efficient IO through io_uring. https://kernel.dk/io_uring.pdf.

[5]

Jens Axboe. 2022. Flexible I/O Tester, Version 3.31. https://github.com/axboe/fio.

[6]

Matias Bjørling, Jens Axboe, David Nellans, and Philippe Bonnet. 2013. Linux Block IO: Introducing Multi-queue SSD Access on Multi-core Systems. In Proceedings of the 6th International Systems and Storage Conference (Haifa, Israel) (SYSTOR '13). ACM, New York, NY, USA, Article 22, 10 pages.

Digital Library

[7]

Diego Didona, Jonas Pfefferle, Nikolas Ioannou, Bernard Metzler, and Animesh Trivedi. 2022. Understanding Modern Storage APIs: A Systematic Study of Libaio, SPDK, and Io_uring. In Proceedings of the 15th ACM International Conference on Systems and Storage (Haifa, Israel) (SYSTOR '22). Association for Computing Machinery, New York, NY, USA, 120--127.

Digital Library

[8]

Bryan Harris and Nihat Altiparmak. 2019. Monte Carlo Based Server Consolidation for Energy Efficient Cloud Data Centers. In 11th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2019). Sydney, Australia, 263--270.

[9]

Sangwook Kim, Hwanju Kim, Joonwon Lee, and Jinkyu Jeong. 2017. Enlightening the I/O Path: A Holistic Approach for Application Performance. In 15th USENIX Conference on File and Storage Technologies (FAST 17). USENIX Association, Santa Clara, CA, 345--358. https://www.usenix.org/conference/fast17/technical-sessions/presentation/kim-sangwook

[10]

Gyusun Lee, Seokha Shin, Wonsuk Song, Tae Jun Ham, Jae W. Lee, and Jinkyu Jeong. 2019. Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs. In 2019 USENIX Annual Technical Conference (USENIX ATC 19). USENIX Association, Renton, WA, 603--616. https://www.usenix.org/conference/atc19/presentation/lee-gyusun

[11]

Alberto Lerner and Philippe Bonnet. 2021. Not Your Grandpa's SSD: The Era of Co-Designed Storage Devices. Association for Computing Machinery, New York, NY, USA, 2852--2858.

Digital Library

[12]

Simon A. F. Lund, Philippe Bonnet, Klaus B. A. Jensen, and Javier Gonzalez. 2022. I/O Interface Independence with XNVMe. In Proceedings of the 15th ACM International Conference on Systems and Storage (Haifa, Israel) (SYSTOR '22). Association for Computing Machinery, New York, NY, USA, 108--119.

Digital Library

[13]

Onset Computer Corporation 2017. HOBO Plug Load Logger (UX120-018) Manual. Onset Computer Corporation. https://www.onsetcomp.com/sites/default/files/resources-documents/17838-E%20MAN-UX120-018.pdf

[14]

Jisoo Yang, Dave B. Minturn, and Frank Hady. 2012. When Poll is Better than Interrupt. In Proceedings of the 10th USENIX Conference on File and Storage Technologies (San Jose, CA) (FAST'12). USENIX Association, USA, 3.

Digital Library

[15]

Z. Yang, J. R. Harris, B. Walker, D. Verkamp, C. Liu, C. Chang, G. Cao, J. Stern, V. Verma, and L. E. Paul. 2017. SPDK: A Development Kit to Build High Performance Storage Applications. In 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). 154--161.

[16]

Young Jin Yu, Dong In Shin, Woong Shin, Nae Young Song, Jae Woo Choi, Hyeong Seog Kim, Hyeonsang Eom, and Heon Young Yeom. 2014. Optimizing the Block I/O Subsystem for Fast Storage Devices. ACM Trans. Comput. Syst. 32, 2, Article 6 (Jun 2014), 48 pages.

Digital Library

[17]

Jie Zhang, Miryeong Kwon, Donghyun Gouk, Sungjoon Koh, Changlim Lee, Mohammad Alian, Myoungjun Chun, Mahmut Taylan Kandemir, Nam Sung Kim, Jihong Kim, and Myoungsoo Jung. 2018. FlashShare: Punching Through Server Storage Stack from Kernel to Firmware for Ultra-Low Latency SSDs. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18). USENIX Association, Carlsbad, CA, 477--492. https://www.usenix.org/conference/osdi18/presentation/zhang

Cited By

Xie DStavrinos TZhu KPeter SKasikci BAnderson T(2024)Can Storage Devices be Power Adaptive?Proceedings of the 16th ACM Workshop on Hot Topics in Storage and File Systems10.1145/3655038.3665945(47-54)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3655038.3665945

Index Terms

Energy Implications of IO Interface Design Choices
1. Information systems
  1. Information storage systems
    1. Storage management
      1. Storage power management
2. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Operating systems
        Memory management
        Secondary storage

Recommendations

A reliability model of energy-efficient parallel disk systems with data mirroring

In the last decade, parallel disk systems have increasingly become popular for data-intensive applications running on high performance computing platforms. Conservation of energy in parallel disk systems has a strong impact on the cost of cooling ...
Conserving energy in real-time storage systems with I/O burstiness

Energy conservation has become a critical problem for real-time embedded storage systems. Although a variety of approaches for reducing energy consumption have been extensively studied, energy conservation for real-time embedded storage systems is still ...
Assessing data deduplication trade-offs from an energy and performance perspective
IGCC '11: Proceedings of the 2011 International Green Computing Conference and Workshops

The energy costs of running computer systems are a growing concern: for large data centers, recent estimates put these costs higher than the cost of hardware itself. As a consequence, energy efficiency has become a pervasive theme for designing, ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

HotStorage '23: Proceedings of the 15th ACM Workshop on Hot Topics in Storage and File Systems

July 2023

131 pages

ISBN:9798400702242

DOI:10.1145/3599691

General Chairs:
Ali Anwar
University of Minnesota
,
Ningfang Mi
Northeastern University
,
Program Chairs:
Vasily Tarasov
IBM Research
,
Yiying Zhang
University of California, San Diego

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

SIGOPS: ACM Special Interest Group on Operating Systems

In-Cooperation

USENIX

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 July 2023

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

NSF (National Science Foundation)

Conference

HotStorage '23

Sponsor:

SIGOPS

HotStorage '23: 15th ACM Workshop on Hot Topics in Storage and File Systems

July 9, 2023

MA, Boston, USA

Acceptance Rates

Overall Acceptance Rate 34 of 87 submissions, 39%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
224
Total Downloads

Downloads (Last 12 months)164
Downloads (Last 6 weeks)24

Reflects downloads up to 09 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Xie DStavrinos TZhu KPeter SKasikci BAnderson T(2024)Can Storage Devices be Power Adaptive?Proceedings of the 16th ACM Workshop on Hot Topics in Storage and File Systems10.1145/3655038.3665945(47-54)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3655038.3665945

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Table of Contents