editing requirements for data base applications and their implementation on the indy backend kernel
An extrapolation of user and hardware cost trends indicate that future systems should provide more complete functionality, simplicity of use, and reliability by increasing the amount of hardware present in the system. For data base systems, this can be done by providing very high level data languages and by implementing them directly in hardware. These goals are realized with a simple hardware arrangement called INDY, which uses inexpensive memory technologies (such as charge coupled devices, magnetic bubbles, or discs). This paper first discusses the data definition and editing requirements of data languages. Then the implementation of these requirements on the INDY backend kernel is described. Finally, a comparison is made of the various memory technologies for suitability to INDY.
edit requirements data base data applications implementation use user hardware cost future systems completeness functional reliability language goals arrangement memorialized technologies device paper definition comparisons