NDLI: O2-Tree: A Fast Memory Resident Index for NoSQL Data-Store

Content Provider	IEEE Xplore Digital Library
Author	Ohene-Kwofie, D. Otoo, E.J. Nimako, G.
Copyright Year	2012
Abstract	Modern computer architecture with 64-bit addressing has now become commonplace. The consequence is that sufficiently large databases can be maintained, during a usage session as main memory resident database. Such in-memory resident databases still require the use of an index for fast access to the data items. A more common architecture is to maintain an in-memory index to data records that are grouped into data blocks. The data items are then accessed through a large in-memory cache pool. The T-Tree and its variants were developed as the appropriate in-memory index structure but recently a number of such index-driven databases have emerged under the banner of NoSQL databases. We propose the $O_2$-Tree as an alternative to the T-Tree that is usable as an index for in-memory database that out-performs a number of NoSQL databases. The $O_2$-Tree is essentially a Red-Black Binary-Search tree in which the leaf nodes are index blocks that store multiple records of key-value and record-pointer pairs. The internal nodes contain \textbf{copies} of the keys that split blocks of the leaf nodes in a manner similar to the $B^+$-Tree. The new internal nodes are formed into a Red-Black-Tree structure. It has the advantage that it can be easily reconstructed by reading only the lowest key values of each leaf node block. The main contributions are in the development and implementation of the $O_2$-Tree, its performance comparison with the T-Tree, AVL-Tree, $B^+$-Tree, Top-Down implementation of the Red-Black Binary-Search tree, and also with NoSQL databases such as Kyoto Cabinet, LevelDB and in-memory BerkeleyDB.
Starting Page	50
Ending Page	57
File Size	540648
Page Count	8
File Format	PDF
ISBN	9781467351652
e-ISBN	9780769549149
DOI	10.1109/ICCSE.2012.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-05
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Database Indexing NoSQL Memory management Vegetation Data structures Data-Store Indexing
Content Type	Text
Resource Type	Article

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