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Kyoto Cabinet. http:\/\/fallabs.com\/kyotocabinet\/."},{"key":"e_1_3_2_1_2_1","unstructured":"LevelDB. http:\/\/leveldb.org\/.  LevelDB. http:\/\/leveldb.org\/."},{"key":"e_1_3_2_1_3_1","unstructured":"Lightning Memory Mapped Database. https:\/\/en.wikipedia.org\/wiki\/Lightning_Memory_MappedDatabase.  Lightning Memory Mapped Database. https:\/\/en.wikipedia.org\/wiki\/Lightning_Memory_MappedDatabase."},{"key":"e_1_3_2_1_4_1","unstructured":"Memtier benchmark. https:\/\/redislabs.com\/blog\/memtier benchmark-a-highthroughput-benchmarking-tool-for-redis-memcached.  Memtier benchmark. https:\/\/redislabs.com\/blog\/memtier benchmark-a-highthroughput-benchmarking-tool-for-redis-memcached."},{"key":"e_1_3_2_1_5_1","unstructured":"Redis. http:\/\/redis.io\/.  Redis. http:\/\/redis.io\/."},{"key":"e_1_3_2_1_6_1","unstructured":"Redis Labs. https:\/\/redislabs.com\/.  Redis Labs. https:\/\/redislabs.com\/."},{"key":"e_1_3_2_1_7_1","unstructured":"Redis Naive Disk Storage. https:\/\/github.com\/mpalmer\/redis\/blob\/nds-2.6.  Redis Naive Disk Storage. https:\/\/github.com\/mpalmer\/redis\/blob\/nds-2.6."},{"key":"e_1_3_2_1_8_1","unstructured":"Redis on Flash. https:\/\/redislabs.com\/rlec-flash.  Redis on Flash. https:\/\/redislabs.com\/rlec-flash."},{"key":"e_1_3_2_1_9_1","unstructured":"Redis on Flash documentation. https:\/\/redislabs.com\/redis-enterprise-documentation\/rlecflash.  Redis on Flash documentation. https:\/\/redislabs.com\/redis-enterprise-documentation\/rlecflash."},{"key":"e_1_3_2_1_10_1","unstructured":"Redis Users. http:\/\/techstacks.io\/tech\/redis.  Redis Users. http:\/\/techstacks.io\/tech\/redis."},{"key":"e_1_3_2_1_11_1","unstructured":"RocksDB FAQ. https:\/\/github.com\/facebook\/rocksdb\/wiki\/RocksDBFAQ.  RocksDB FAQ. https:\/\/github.com\/facebook\/rocksdb\/wiki\/RocksDBFAQ."},{"key":"e_1_3_2_1_12_1","unstructured":"RocksDB users. https:\/\/github.com\/facebook\/rocksdb\/blob\/master\/USERS.md.  RocksDB users. https:\/\/github.com\/facebook\/rocksdb\/blob\/master\/USERS.md."},{"key":"e_1_3_2_1_13_1","unstructured":"RocksDB website. http:\/\/rocksdb.org\/.  RocksDB website. http:\/\/rocksdb.org\/."},{"key":"e_1_3_2_1_14_1","unstructured":"RocksDB wikipedia. https:\/\/en.wikipedia.org\/wiki\/RocksDB.  RocksDB wikipedia. https:\/\/en.wikipedia.org\/wiki\/RocksDB."},{"key":"e_1_3_2_1_15_1","unstructured":"P. Dix. Benchmarking LevelDB vs RocksDB. https:\/\/www.influxdata.com\/benchmarking-leveldbvs-rocksdb-vs-hyperleveldb-vs-lmdb-performance-forinfluxdb\/.  P. Dix. Benchmarking LevelDB vs RocksDB. https:\/\/www.influxdata.com\/benchmarking-leveldbvs-rocksdb-vs-hyperleveldb-vs-lmdb-performance-forinfluxdb\/."},{"key":"e_1_3_2_1_16_1","unstructured":"S. Dong. RocksDB: Key-Value Store Optimized for Flash-Based SSD. https:\/\/www.youtube.com\/watch?v=xbR0epinnqo.  S. Dong. RocksDB: Key-Value Store Optimized for Flash-Based SSD. https:\/\/www.youtube.com\/watch?v=xbR0epinnqo."},{"key":"e_1_3_2_1_17_1","unstructured":"Facebook. RocksDB Tuning Guide. https:\/\/github. com\/facebook\/rocksdb\/wiki\/RocksDB-Tuning-Guide.  Facebook. RocksDB Tuning Guide. https:\/\/github. com\/facebook\/rocksdb\/wiki\/RocksDB-Tuning-Guide."},{"key":"e_1_3_2_1_18_1","unstructured":"Gartner. Magic Quadrant. https:\/\/www.gartner.com\/doc\/reprints?id=1-2G2O5FC&ct=150519.  Gartner. Magic Quadrant. https:\/\/www.gartner.com\/doc\/reprints?id=1-2G2O5FC&ct=150519."},{"key":"e_1_3_2_1_19_1","unstructured":"Intel. Redis with persistent memory. https:\/\/github.com\/pmem\/redis#redis-with-persistent-memory.  Intel. Redis with persistent memory. https:\/\/github.com\/pmem\/redis#redis-with-persistent-memory."},{"key":"e_1_3_2_1_20_1","unstructured":"P. Krishnamoorthy and C. Changho. Fine-tuning RocksDB for NVMe SSD. https:\/\/www.percona.com\/live\/data-performance-conference-2016\/sites\/default\/files\/slides\/Percona RocksDB v1.3.pdf.  P. Krishnamoorthy and C. Changho. Fine-tuning RocksDB for NVMe SSD. https:\/\/www.percona.com\/live\/data-performance-conference-2016\/sites\/default\/files\/slides\/Percona RocksDB v1.3.pdf."},{"key":"e_1_3_2_1_21_1","unstructured":"Mark Callaghan blog. http:\/\/smalldatum.blogspot.co.il\/2014\/07\/benchmarking-leveldb-family.html July 7 2014.  Mark Callaghan blog. http:\/\/smalldatum.blogspot.co.il\/2014\/07\/benchmarking-leveldb-family.html July 7 2014."}],"event":{"name":"ICCDA '17: 2017 International Conference on Compute and Data Analysis","sponsor":["University of Florida University of Florida"],"location":"Lakeland FL USA","acronym":"ICCDA '17"},"container-title":["Proceedings of the International Conference on Compute and Data Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3093241.3093278","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3093241.3093278","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:39Z","timestamp":1750217439000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3093241.3093278"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,19]]},"references-count":21,"alternative-id":["10.1145\/3093241.3093278","10.1145\/3093241"],"URL":"https:\/\/doi.org\/10.1145\/3093241.3093278","relation":{},"subject":[],"published":{"date-parts":[[2017,5,19]]},"assertion":[{"value":"2017-05-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}