ACM SIGMOD Anthology ACM SIGMOD dblp.uni-trier.de

E-ADTs: Turbo-Charging Complex Data.

Praveen Seshadri, Miron Livny, Raghu Ramakrishnan: E-ADTs: Turbo-Charging Complex Data. IEEE Data Eng. Bull. 19(4): 11-18(1996)
@article{DBLP:journals/debu/SeshadriLR96,
  author    = {Praveen Seshadri and
               Miron Livny and
               Raghu Ramakrishnan},
  title     = {E-ADTs: Turbo-Charging Complex Data},
  journal   = {IEEE Data Eng. Bull.},
  volume    = {19},
  number    = {4},
  year      = {1996},
  pages     = {11-18},
  ee        = {db/journals/debu/SeshadriLR96.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

The next generation of database applications will be dominated by rich and complex data types. The ADT technology of today's object-relational database systems cannot provide adequate performance for such applications. The basic stumbling block is the lack of semantic knowledge provided to the database system about the ADT operations. We are developing novel "Enhanced ADT" (E-ADT) technology that overcomes this problem, while retaining the extensibility of the database system. In effect, this "turbo-charges" the complex data types, resulting in dramatically improved performance. E-ADT technology is being demonstrated on several kinds of multi-media data in the PREDATOR database system at Cornell.

Copyright © 1996 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


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