Data @Scale 2016

Your storage is broken: Lessons from studying modern databases and key-value stores

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Dr. Remzi Arpaci-Dusseau from the University of Wisconsin-Madison showed us how the simplest of things, like updating a file on a disk using a file system, is subtly complex and highly error-prone. File systems differ in semantics and the handling of edge cases. Through automated tools, he and his students have uncovered hidden assumptions in highly deployed systems, like Git, on specific file system behaviors that are not always correct. Assumptions can be about atomicity, failure handling, crash consistency guarantees, and more. This talk took us through the nuts and bolts of the lowest levels of storage systems.

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