Transparent Online Storage Compression at the Block-Level

  • Authors:

  • Yannis Klonatos;Thanos Makatos;Manolis Marazakis;Michail D. Flouris;Angelos Bilas

  • Affiliations:

  • Foundation for Research and Technology -- Hellas and University of Crete;Foundation for Research and Technology -- Hellas;Foundation for Research and Technology -- Hellas;Foundation for Research and Technology -- Hellas;Foundation for Research and Technology -- Hellas and University of Crete

  • Venue:
  • ACM Transactions on Storage (TOS)
  • Year:
  • 2012

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Abstract

In this work, we examine how transparent block-level compression in the I/O path can improve both the space efficiency and performance of online storage. We present ZBD, a block-layer driver that transparently compresses and decompresses data as they flow between the file-system and storage devices. Our system provides support for variable-size blocks, metadata caching, and persistence, as well as block allocation and cleanup. ZBD targets maintaining high performance, by mitigating compression and decompression overheads that can have a significant impact on performance by leveraging modern multicore CPUs through explicit work scheduling. We present two case-studies for compression. First, we examine how our approach can be used to increase the capacity of SSD-based caches, thus increasing their cost-effectiveness. Then, we examine how ZBD can improve the efficiency of online disk-based storage systems. We evaluate our approach in the Linux kernel on a commodity server with multicore CPUs, using PostMark, SPECsfs2008, TPC-C, and TPC-H. Preliminary results show that transparent online block-level compression is a viable option for improving effective storage capacity, it can improve I/O performance up to 80% by reducing I/O traffic and seek distance, and has a negative impact on performance, up to 34%, only when single-thread I/O latency is critical. In particular, for SSD-based caching, our results indicate that, in line with current technology trends, compressed caching trades off CPU utilization for performance and enhances SSD efficiency as a storage cache up to 99%.