Title :
FB+-tree: Indexing based on key ranges
Author :
Cui Yu ; Boyd, Josef
Author_Institution :
Dept. Comput. Sci. & Software Eng., Monmouth Univ., West Long Branch, NJ, USA
Abstract :
The present idea is a fast indexing technique that builds an indexing structure based on multi-level key ranges typically for large data storage systems. It is explained based on the B+-tree and designed to reside in main memory. Point searches and range searches are helped by early termination of searches for non-existent data. Range searches can be processed depth-first or breath-first. One group of multiple searches can be processed with one pass on the indexing structure to minimize total cost. Implementation options and strategies are explained to show the flexibility of this technology for easy adaption and high efficiency. This indexing structure can be tuned to speed up queries directed at popular ranges of index or index ranges of particular interest to the user.
Keywords :
database indexing; storage management; tree data structures; tree searching; B+-tree; FB+-tree; breadth-first processing; depth-first processing; indexing structure; indexing technique; large data storage systems; main memory; multilevel key ranges; nonexistent data; point search; range search; total cost minimization; Lead; access method; indexing; query performance;
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2014 IEEE 11th International Conference on
Conference_Location :
Miami, FL
DOI :
10.1109/ICNSC.2014.6819666