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Adaptive hybrid storage systems leveraging SSDs and HDDs in HPC cloud environments

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Abstract

Cloud computing should inherently support various types of data-intensive workloads with different storage access patterns. This makes a high-performance storage system in the Cloud an important component. Emerging flash device technologies such as solid state drives (SSDs) are a viable choice for building high performance computing (HPC) cloud storage systems to address more fine-grained data access patterns. However, the bit-per-dollar SSD price is still higher than the prices of HDDs. This study proposes an optimized progressive file layout (PFL) method to leverage the advantages of SSDs in a parallel file system such as Lustre so that small file I/O performance can be significantly improved. A PFL can dynamically adjust chunk sizes and stripe patterns according to various I/O traffics. Extensive experimental results show that this approach (i.e. building a hybrid storage system based on a combination of SSDs and HDDs) can actually achieve balanced throughput over mixed I/O workloads consisting of large and small file access patterns.

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Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. NRF-2015R1C1A1A02036524), and by Institute for Information & Communications Technology Promotion (IITP) Grant Funded by the Korean government (MSIP) (No. R0190-16-2012, High Performance Big Data Analytics Platform Performance Acceleration Technologies Development).

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Korea Aerospace University, Goyang, Republic of Korea

    Donghun Koo & Jaehwan Lee

  2. Department of Computer Engineering, Myongji University, Yongin, Republic of Korea

    Jik-Soo Kim

  3. Korea Institute of Science and Technology Information, Daejeon, Republic of Korea

    Soonwook Hwang

  4. Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea

    Hyeonsang Eom

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  1. Donghun Koo
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  2. Jik-Soo Kim
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  3. Soonwook Hwang
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  4. Hyeonsang Eom
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  5. Jaehwan Lee
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Correspondence to Jaehwan Lee.

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Koo, D., Kim, JS., Hwang, S. et al. Adaptive hybrid storage systems leveraging SSDs and HDDs in HPC cloud environments. Cluster Comput 20, 2119–2131 (2017). https://doi.org/10.1007/s10586-017-1002-5

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  • DOI: https://doi.org/10.1007/s10586-017-1002-5

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