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CFFQ: I/O scheduler for providing fairness and high performance in SSD devices

Published: 05 January 2017 Publication History

Abstract

Linux kernel has I/O schedulers to efficiently manage I/O requests of applications and reflect them to the storage. In addition, the existing Linux I/O schedulers are optimized to HDDs (Hard Disk Drivers), because computer systems have mainly used HDDs as a secondary storage in the past. However, since they are composed of mechanical parts including disk arm and rotary disks, they suffer from the performance bottleneck caused by disk seek time and rotation time. To mitigate this problem, CFQ scheduler, which is a default Linux I/O scheduler now, manages I/O requests with sorting and merging operation. CFQ scheduler utilizes red-black tree as a per-process request queue to fairly distribute I/O bandwidth to each process. Unfortunately, CFQ scheduler shows low responsiveness in SSDs (Solid State Drives) which are currently prevalent on the market. In SSDs, although noop scheduler outperforms CFQ scheduler in terms of latency due to its simple FIFO management for the request queue, it unfairly distributes I/O bandwidth to processes. For this reason, both the CFQ and noop scheduler are thought as unsuitable for the SSDs. In this paper, we propose a novel Linux I/O scheduler, called CFFQ (Completely Fair FIFO Queueing) scheduler. CFFQ scheduler supports FIFO queue as a request queue for each process and manages it with round-robin scheme. Experimental results show that our scheduler not only guarantees more I/O bandwidth fairness by up to 37.3% compared with noop scheduler, but also improves latency by up to 50.3% compared with CFQ scheduler.

References

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Valente, P. and Checconi, I. 2010. High Throughput Disk Scheduling with Fair Bandwidth Distribution. IEEE Transactions on Computers. 59, 9 (May 2010), 1172--1186.
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Bjørling, M., Axboe, J., Nellans, D., and Bonnet, P. 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, June 30 -- July 2, 2013). SYSTOR'13. ACM, New York, NY
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Park, S. and Shen, K. 2012. FIOS: A Fair, Efficient Flash I/O Scheduler. In Proceedings of the 10th USENIX Conference on File and Storage Technologies (San Jose, USA, February 14 -- 17, 2012). FAST'12. USENIX, Berkeley, CA, 13--27.
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Shen, K. and Park, S. 2013. FlashFQ: A Fair Queueing I/O Scheduler for Flash-based SSDs. In Proceedings of the 2013 USENIX Annual Technical Conference (San Jose, USA, June 26 -- 28, 2013). ATC'13. USENIX, Berkeley, CA, 67--78.
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Wang, H., Huang, P., He, S., Zhou, K., Li, C., and He, X. 2013. A Novel I/O Scheduler for SSD with Improved Performance and Lifetime. In Proceedings of the 2013 IEEE 29th Symposium on Mass Storage Systems and Technologies (Long Beach, USA, May 6 -- 10, 2013). MSST'13. IEEE, New York, NY, 1--5.
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Cited By

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  • (2024)A Systematic Configuration Space Exploration of the Linux Kyber I/O SchedulerCompanion of the 15th ACM/SPEC International Conference on Performance Engineering10.1145/3629527.3651416(167-173)Online publication date: 7-May-2024
  • (2024)BFQ, Multiqueue-Deadline, or Kyber? Performance Characterization of Linux Storage Schedulers in the NVMe EraProceedings of the 15th ACM/SPEC International Conference on Performance Engineering10.1145/3629526.3645053(154-165)Online publication date: 7-May-2024
  • (2023)QoS-pro: A QoS-enhanced Transaction Processing Framework for Shared SSDsACM Transactions on Architecture and Code Optimization10.1145/3632955Online publication date: 14-Nov-2023
  • Show More Cited By

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cover image ACM Conferences
IMCOM '17: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication
January 2017
746 pages
ISBN:9781450348881
DOI:10.1145/3022227
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 ACM 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]

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Publication History

Published: 05 January 2017

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Author Tags

  1. FIFO
  2. I/O bandwidth
  3. Linux I/O scheduler
  4. SSD
  5. fairness
  6. latency
  7. round-robin

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IMCOM '17 Paper Acceptance Rate 113 of 366 submissions, 31%;
Overall Acceptance Rate 213 of 621 submissions, 34%

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Cited By

View all
  • (2024)A Systematic Configuration Space Exploration of the Linux Kyber I/O SchedulerCompanion of the 15th ACM/SPEC International Conference on Performance Engineering10.1145/3629527.3651416(167-173)Online publication date: 7-May-2024
  • (2024)BFQ, Multiqueue-Deadline, or Kyber? Performance Characterization of Linux Storage Schedulers in the NVMe EraProceedings of the 15th ACM/SPEC International Conference on Performance Engineering10.1145/3629526.3645053(154-165)Online publication date: 7-May-2024
  • (2023)QoS-pro: A QoS-enhanced Transaction Processing Framework for Shared SSDsACM Transactions on Architecture and Code Optimization10.1145/3632955Online publication date: 14-Nov-2023
  • (2022)Fair I/O scheduler for alleviating read/write interference by forced unit access in flash memoryProceedings of the 14th ACM Workshop on Hot Topics in Storage and File Systems10.1145/3538643.3539753(86-92)Online publication date: 27-Jun-2022
  • (2022)LabStor: A Modular and Extensible Platform for Developing High-Performance, Customized I/O Stacks in UserspaceSC22: International Conference for High Performance Computing, Networking, Storage and Analysis10.1109/SC41404.2022.00028(1-15)Online publication date: Nov-2022
  • (2020)Balancing Fairness and Efficiency for Cache Sharing in Semi-external Memory SystemProceedings of the 49th International Conference on Parallel Processing10.1145/3404397.3404450(1-11)Online publication date: 17-Aug-2020
  • (2019)NCQ-Aware I/O Scheduling for Conventional Solid State Drives2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)10.1109/IPDPS.2019.00062(523-532)Online publication date: May-2019
  • (2018)Adaptive Splitting-Based Block I/O Scheduling in Disk Storage2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)10.1109/COMPSAC.2018.00101(668-676)Online publication date: Jul-2018
  • (2017)Host managed contention avoidance storage solutions for Big DataJournal of Big Data10.1186/s40537-017-0080-94:1Online publication date: 19-Jun-2017

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