@inproceedings{DBLP:conf/vldb/Baru96, author = {Chaitanya K. Baru}, editor = {T. M. Vijayaraman and Alejandro P. Buchmann and C. Mohan and Nandlal L. Sarda}, title = {Performance of Future Database Systems: Bottlenecks and Bonananzas}, booktitle = {VLDB'96, Proceedings of 22th International Conference on Very Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India}, publisher = {Morgan Kaufmann}, year = {1996}, isbn = {1-55860-382-4}, pages = {599}, ee = {db/conf/vldb/Baru96.html}, crossref = {DBLP:conf/vldb/96}, bibsource = {DBLP, http://dblp.uni-trier.de} }
This panel will discuss how advances in database technology, hardware technology, and applications, will impact database system performance.
Current trends in database systems include the incorporation of parallel processing; object-relational capabilities; support for data warehousing, data mining, and OLAP. The typical hardware systems on which such database systems are being implemented include SMP's, MPP's, clusters, 64-bit processors, disk caches, and RAID and other high availability configurations. In addition, as database technology and products have matured, they have been employed in a wide range of traditional business applications including transaction processing, decision support, and OLAP, as well as newer, emerging applications which require, for example, handling of multimedia and spatial data; handling historical data and providing support for tertiary storage; and dealing with multiple, heterogeneous data sources.
As the database, hardware, and application trends continue, and new ones emerge, what will be their impact on the overall performance of database systems. What does the future hold?
Topics to be discussed by this panel include:
Copyright © 1996 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.