This demo presents Hyperion, a prototype system that supports data
sharing for a network of independent Peer Relational Database Management
Systems (PDBMSs). The nodes of such a network are assumed to be autonomous
PDBMSs that form acquaintances at run-time, and manage mapping tables
to define value correspondences among different databases. They also
use distributed Event-Condition-Action (ECA) rules to enable and
coordinate data sharing. Peers perform local querying and update
processing, and also propagate queries and updates to their acquainted
peers. The demo illustrates the following key functionalities of
Hyperion: (1) the use of (data level) mapping tables to infer new
metadata as peers dynamically join the network, (2) the ability to
answer queries using data in acquaintances, and (3) the ability to
coordinate peers through update propagation.
%0 Conference Paper
%1 Gianolli:2005
%A Rodriguez-Gianolli, Patricia
%A Kementsietsidis, Anastasios
%A Garzetti, Maddalena
%A Kiringa, Iluju
%A Jiang, Lei
%A Masud, Mehedi
%A Miller, Renee J.
%A Mylopoulos, John
%B Proc. of the 31st International Conference on Very Large Data Bases
(VLDB), Demo Abstract Band
%D 2005
%K imported
%T Data sharing in the Hyperion peer database system
%U http://portal.acm.org/citation.cfm?id=1083592.1083753
%X This demo presents Hyperion, a prototype system that supports data
sharing for a network of independent Peer Relational Database Management
Systems (PDBMSs). The nodes of such a network are assumed to be autonomous
PDBMSs that form acquaintances at run-time, and manage mapping tables
to define value correspondences among different databases. They also
use distributed Event-Condition-Action (ECA) rules to enable and
coordinate data sharing. Peers perform local querying and update
processing, and also propagate queries and updates to their acquainted
peers. The demo illustrates the following key functionalities of
Hyperion: (1) the use of (data level) mapping tables to infer new
metadata as peers dynamically join the network, (2) the ability to
answer queries using data in acquaintances, and (3) the ability to
coordinate peers through update propagation.
@inproceedings{Gianolli:2005,
abstract = {This demo presents Hyperion, a prototype system that supports data
sharing for a network of independent Peer Relational Database Management
Systems (PDBMSs). The nodes of such a network are assumed to be autonomous
PDBMSs that form acquaintances at run-time, and manage mapping tables
to define value correspondences among different databases. They also
use distributed Event-Condition-Action (ECA) rules to enable and
coordinate data sharing. Peers perform local querying and update
processing, and also propagate queries and updates to their acquainted
peers. The demo illustrates the following key functionalities of
Hyperion: (1) the use of (data level) mapping tables to infer new
metadata as peers dynamically join the network, (2) the ability to
answer queries using data in acquaintances, and (3) the ability to
coordinate peers through update propagation.},
added-at = {2007-10-23T13:35:30.000+0200},
author = {Rodriguez-Gianolli, Patricia and Kementsietsidis, Anastasios and Garzetti, Maddalena and Kiringa, Iluju and Jiang, Lei and Masud, Mehedi and Miller, Renee J. and Mylopoulos, John},
biburl = {https://www.bibsonomy.org/bibtex/24ce60a8d7958421c35372d6a29521a66/tkirsten},
booktitle = {Proc. of the 31st International Conference on Very Large Data Bases
(VLDB), Demo Abstract Band},
interhash = {786ef684f9b193c11d66f23e52020761},
intrahash = {4ce60a8d7958421c35372d6a29521a66},
keywords = {imported},
owner = {tkirsten},
timestamp = {2007-10-23T13:35:41.000+0200},
title = {{Data sharing in the Hyperion peer database system}},
url = {http://portal.acm.org/citation.cfm?id=1083592.1083753},
year = 2005
}