Title :
Effect of data compression hardware on the performance of a relational database machine
Author :
Ranganathan, N. ; Srinidhi, H.N.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
Abstract :
The authors propose the use of data compression hardware to improve the performance of a relational database machine. They derive detailed analytical models of a specific relational database machine DELTA and report simulation results that quantify the improvement in its system performance due to compression hardware. The main contribution of the present work is the strategy of using compression hardware in the design of database machines to overcome the I/O bottleneck, thereby increasing their performance. The authors suggest the use of on-the-fly hardware to compress and decompress the data so that the time overhead due to compression is negligible
Keywords :
data compression; parallel machines; performance evaluation; relational databases; special purpose computers; DELTA; I/O bottleneck; analytical models; data compression hardware; decompress; on-the-fly hardware; relational database machine; simulation results; system performance; time overhead; Computational modeling; Computer science; Data compression; Data engineering; Database machines; Hardware; Microelectronics; Object oriented modeling; Relational databases; Very large scale integration;
Conference_Titel :
Databases, Parallel Architectures and Their Applications,. PARBASE-90, International Conference on
Conference_Location :
Miami Beach, FL
Print_ISBN :
0-8186-2035-8
DOI :
10.1109/PARBSE.1990.77134
