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- W2893829704 abstract "Flash-based key-value caching plays an important role in Internet services. Compared to in-memory key-value caches, flash-based key-value caches can provide a 10 to 100 times larger cache space, allowing to accommodate more data for a higher hit ratio. However, the current design relies on a simple hash-based indexing structure, which maintains the entire mapping table in DRAM memory. As the cache capacity continues to grow, such an approach raises concerns on cost, power, and scalability. To address this critical memory challenge, we propose a hierarchical mapping scheme, called Cascade Mapping. This scheme exploits a widely existing phenomenon in key-value caches---only a small set of key-value items in the cache is frequently requested. Leveraging the strong temporal locality, we create a multi-tier mapping structure, aiming to serve the most popular key-value mappings within a small memory space and organize the majority in a highly optimized indexing structure in flash. We have implemented a prototype, called SlickCache, based on Twitter's Fatcache. Our experimental results show that we can achieve nearly identical performance as the conventional all-in-memory scheme, while using only a fraction (10%) of the required memory. Alternatively, this approach allows us to build a 10 times larger flash cache with the same amount of memory, which in turn increases the hit ratio by up to 8.2 times and the throughput by up to 125 times." @default.
- W2893829704 created "2018-10-05" @default.
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- W2893829704 date "2018-10-11" @default.
- W2893829704 modified "2023-10-12" @default.
- W2893829704 title "Cascade Mapping" @default.
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- W2893829704 doi "https://doi.org/10.1145/3267809.3267847" @default.
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