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Optimizing Key-Value Stores for Hybrid Storage Architectures
Prashanth Menon, Tilmann Rabl, Mohammad Sadoghi, and Hans-Arno Jacobsen.
In Proceedings of CASCON, 2014.
Abstract
Flash-based solid state drives (SSDs) are increasingly becoming a
popular choice as a storage device within database management
systems and key-value stores alike. SSDs offer fast throughput and
low latency access to data, but their price-per-byte cost often makes
them uneconomical for exclusive use, especially in the era of big data
workloads. A common solution to this problem is to augment existing
database systems by adding smaller SSDs that target only
performance-critical areas. We believe this hybrid approach to be a
stop-gap solution.
Rather than simply extending existing systems with SSDs, in this work
we completely re-architect how a key-value database operates in a
hybrid storage setting with both small but fast SSDs and slower but
high-capacity HDDs. We formulate an accurate I/O cost model to
study how popular key-value stores behave under several varying
representative workloads. Based on these studies and taking a
holistic approach, we design a system that dynamically optimizes
the data layout and access strategy that leverages the strengths
of each available storage medium.
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Tags: key-value stores, leveldb
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