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@inproceedings{DBLP:conf/ssdbm/MerrillMGH83,
author = {Deane Merrill and
John McCarthy and
Fredric C. Gey and
Harvard Holmes},
editor = {Roy Hammond and
John L. McCarthy},
title = {Distributed Data Management in a Minicomputer Network: The SEEDIS
Experience},
booktitle = {Proceedings of the Second International Workshop on Statistical
Database Management, Los Altos, California, USA, September 27-29,
1983},
publisher = {Lawrence Berkeley Laboratory},
year = {1983},
pages = {99-103},
ee = {db/conf/ssdbm/MerrillMGH83.html},
crossref = {DBLP:conf/ssdbm/83},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
This paper describes distributed data management aspects of SEEDIS (Socio-Economic Environmental Demographic Information System). SEEDIS is an experimental system for the retrieval, analysis, and display of geographically linked data. SEEDIS operates on nine computers in a nationwide network. Users at any location select and retrieve all data in the same way, regardless of whether they are stored locally or at a remote location.
The network implementation has been substantially modified during 1983. New enhancements include: local caching of data files to improve efficiency; linking to an automatic tape library (ATL) to make larger volumes of data accessible; node independence to facilitate automatic sharing of data among autonomous SEEDIS installations without the need for central control; improvements providing robust operation despite unreliable network connections; and automatic recording of all cache transactions for subsequent statistical analysis.
