ForestDB: A Fast Key-Value Storage System for Variable-Length String Keys

Cited 20 time in webofscience Cited 0 time in scopus
  • Hit : 579
  • Download : 0
Indexing key-value data on persistent storage is an important factor for NoSQL databases. Most key-value storage engines use tree-like structures for data indexing, but their performance and space overhead rapidly get worse as the key length becomes longer. This also affects the merge or compaction cost which is critical to the overall throughput. In this paper, we present ForestDB, a key-value storage engine for a single node of large-scale NoSQL databases. ForestDB uses a new hybrid indexing scheme called HB+-trie, which is a disk-based trie-like structure combined with B+-trees. It allows for efficient indexing and retrieval of arbitrary length string keys with relatively low disk accesses over tree-like structures, even though the keys are very long and randomly distributed in the key space. Our evaluation results show that ForestDB significantly outperforms the current key-value storage engine of Couchbase Server [1], LevelDB [2], and RocksDB [3], in terms of both the number of operations per second and the amount of disk writes per update operation.
Publisher
IEEE COMPUTER SOC
Issue Date
2016-03
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON COMPUTERS, v.65, no.3, pp.902 - 915

ISSN
0018-9340
DOI
10.1109/TC.2015.2435779
URI
http://hdl.handle.net/10203/207620
Appears in Collection
CS-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 20 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0