DocumentCode
1150996
Title
Compact Hash Tables Using Bidirectional Linear Probing
Author
Clerry
Author_Institution
Man-Machine Systems Group, Department of Computer Science, The University of Calgary
Issue
9
fYear
1984
Firstpage
828
Lastpage
834
Abstract
An algorithm is developed which reduces the memory requirements of hash tables. This is achieved by storing only a part of each key along with a few extra bits needed to ensure that all keys are stored unambiguously. The fraction of each key stored decreases as the size of the hash table increases. Significant reductions in total memory usage can be achieved especially when the key size is not much larger than the size of a memory index and when only a small amount of data is stored with each key. The algorithm is based on bidirectional linear probing. Search and insertion times are shown by simulation to be similar to those for ordinary bidirectional linear probing.
Keywords
Address calculation; bidirectional linear probing; hash storage; information retrieval; memory compaction; open addressing; performance analysis; scatter storage; searchfing; Compaction; Computational modeling; Computer science; Councils; Information retrieval; Man machine systems; Performance analysis; Scattering; Address calculation; bidirectional linear probing; hash storage; information retrieval; memory compaction; open addressing; performance analysis; scatter storage; searchfing;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.1984.1676499
Filename
1676499
Link To Document