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Enhancing I/O Scheduler Performance by Exploiting Internal Parallelism of SSDs

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Algorithms and Architectures for Parallel Processing (ICA3PP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9531))

Abstract

This paper presents an SSD-based Block I/O Scheduler, short for SBIOS. SBIOS fully exploits the internal parallelism to improve the system performance. It dispatches the read requests to different blocks to make full use of SSD internal parallelism. For write requests, it tries to dispatch write requests to the same block to alleviate the block cross penalty and garbage collection overhead. Moreover, SBIOS introduces the conception of batch processing and separates read and write requests to avoid read write interference. The evaluation results show that compared with other I/O schedulers in the Linux kernel, SBIOS reduces the average response time significantly. Consequently, the performance of the SSD-based storage systems is improved.

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References

  1. Agrawal, N., Prabhakaran, V., Wobber, T., Davis, J.D., Manasse, M.S., Panigrahy, R.: Design tradeoffs for SSD performance. In: USENIX Annual Technical Conference, pp. 57–70 (2008)

    Google Scholar 

  2. Bjørling, M., Axboe, J., Nellans, D., Bonnet, P.: Linux block IO: introducing multi-queue SSD access on multi-core systems. In: Proceedings of the 6th International Systems and Storage Conference, p. 22. ACM (2013)

    Google Scholar 

  3. Caulfield, A.M., De, A., Coburn, J., Mollow, T.I., Gupta, R.K., Swanson, S.: Moneta: a high-performance storage array architecture for next-generation, non-volatile memories. In: Proceedings of the 2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture, pp. 385–395. IEEE Computer Society (2010)

    Google Scholar 

  4. Caulfield, A.M., Mollov, T.I., Eisner, L.A., De, A., Coburn, J., Swanson, S.: Providing safe, user space access to fast, solid state disks. ACM SIGPLAN Not. 47(4), 387–400 (2012)

    Google Scholar 

  5. Chen, F., Koufaty, D.A., Zhang, X.: Understanding intrinsic characteristics and system implications of flash memory based solid state drives. ACM SIGMETRICS Perform. Eval. Rev. 37, 181–192 (2009)

    Google Scholar 

  6. Dunn, P.M.: A new I/O scheduler for solid state devices. Ph.D. thesis, Texas A&M University (2009)

    Google Scholar 

  7. Hu, Y., Jiang, H., Feng, D., Tian, L., Luo, H., Zhang, S.: Performance impact and interplay of SSD parallelism through advanced commands, allocation strategy and data granularity. In: Proceedings of the International Conference on Supercomputing, pp. 96–107. ACM (2011)

    Google Scholar 

  8. Axboe Jens. fio-2.26 (software package) (2015)

    Google Scholar 

  9. Kim, J., Oh, Y., Kim, E., Choi, J., Lee, D., Noh, S.H.: Disk schedulers for solid state drivers. In: Proceedings of the Seventh ACM International Conference on Embedded Software, pp. 295–304. ACM (2009)

    Google Scholar 

  10. Mao, B., Jiang, H., Wu, S., Tian, L., Feng, D., Chen, J., Zeng, L.: HPDA: a hybrid parity-based disk array for enhanced perfromance and reliability. ACM Trans. Storage, vol. 8(1), Article 4, Febuary 2012

    Google Scholar 

  11. Mao, B., Wu, S.: Exploiting request characteristics and internal parallelism to improve ssd performance. In: Proceedings of the 33rd IEEE International Conference on Computer Design (ICCD 2015), pp. 18–21, New York City, USA, October 2015

    Google Scholar 

  12. Park, S., Shen, K.: FIOS: a fair, efficient flash I/O scheduler. In: FAST, p. 13 (2012)

    Google Scholar 

  13. Shen, K., Park, S.: FlashFQ: a fair queueing I/O scheduler for flash-based SSDS. In: USENIX Annual Technical Conference, pp. 67–78 (2013)

    Google Scholar 

  14. Wang, H., Huang, P., He, S., Zhou, K., Li, C., He, X.: A novel I/O scheduler for SSD with improved performance and lifetime. In: 2013 IEEE 29th Symposium on Mass Storage Systems and Technologies (MSST), pp. 1–5 (2013)

    Google Scholar 

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Acknowledgments

This work is supported by the National Natural Science Foundation of China under Grant No. 61100033, No. 61472336 and No. 61402385, National Key Technology R&D Program Foundation of China (No. 2015BAH16F02), Fundamental Research Funds for the Central Universities (No. 20720140515).

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Correspondence to Jiayang Guo , Yimin Hu or Bo Mao .

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Guo, J., Hu, Y., Mao, B. (2015). Enhancing I/O Scheduler Performance by Exploiting Internal Parallelism of SSDs. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9531. Springer, Cham. https://doi.org/10.1007/978-3-319-27140-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-27140-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27139-2

  • Online ISBN: 978-3-319-27140-8

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