Recently, parallel signature file methods have been proposed for better ret
rieval performance in signature files. In this paper, we propose a vertical
ly-partitioned parallel signature file (VPSF) method which can partition a
signature file vertically. Our VPSF method uses an extendable hashing techn
ique for dynamic environment and uses a frame-sliced signature file techniq
ue for efficient retrieval. Our VPSF method also can eliminate the data ske
w and the execution skew by allocating each frame to a processing node. To
prove the efficiency of our VPSF method, we compare its performance with th
ose of the conventional parallel signature file methods, i.e., HPSF and Ham
ming filter, in terms of retrieval time, storage overhead, and insertion ti
me. The experimental result shows that our VPSF achieves about 40% better r
etrieval performance than the Hamming filter. In addition, we evaluate the
performance of our VPSF methods on several normal distributions with half a
nd double standard deviations of the real data. From the performance evalua
tion on record sets with half standard deviation, we show that our VPSF gai
ns about 20-50% improvement in retrieval time, compared with the Hamming fi
lter and the HPSF. Finally, we show that our VPSF generally outperforms the
conventional parallel signature files on retrieval performance when the re
cords of a database are uniform in size. (C) 2000 Elsevier Science B.V. All
rights reserved.