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Improving I/O Performance Using Virtual Disk Introspection
Vasily Tarasov and Deepak Jain, Stony Brook University; Dean Hildebrand and Renu Tewari, IBM Research—Almaden; Geoff Kuenning, Harvey Mudd College; Erez Zadok, Stony Brook University
Storage consolidation due to server virtualization puts stringent new requirements on Storage Array (SA) performance. Virtualized workloads require new performance optimizations that cannot be totally addressed by merely using expensive hardware such as SSDs. This position paper presents Virtual Machine Disk Image (VMDI) introspection—a key technique for implementing a variety of virtualization-oriented I/O optimizations. VMDI introspection gives SAs an understanding of guest file system semantics, such as determining object types and classifying read and write operations. We explore possible approaches for VMDI introspection and then describe a set of VMDI-introspection-based optimizations. Our prototype implementation with enhanced meta-data caching and placement shows 11% to 20 performance improvement.
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author = {Vasily Tarasov and Deepak Jain and Dean Hildebrand and Renu Tewari and Geoff Kuenning and Erez Zadok},
title = {Improving {I/O} Performance Using Virtual Disk Introspection},
booktitle = {5th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 13)},
year = {2013},
address = {San Jose, CA},
url = {https://www.usenix.org/conference/hotstorage13/workshop-program/presentation/tarasov},
publisher = {USENIX Association},
month = jun
}
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