| ISBN: 1-880843-52-8
|
| |
| description |
In this paper, we address aspects of the challenge facing the Data
Integration solutions in the problem of increasing the scalability.
We first overview our results in data integration and present our
prototype. Searching for a motivation to employ the agent-based
technology and envision how this technology can be applied to
improve the system scalability represent the next step of our
research. For that, we examine some formal definitions and metrics
of scalability which fit the purpose of system description. The
analysis of our data integration solution, a change propagation
system called Champagne, identifies the system components having the
most influence on the scalability problem. We propose to employ the
agent-based technology to improve the scalability and perform some
experiments which reveal our work.
|
| publisher |
ISCA
|
| type |
Text
|
| Article in Proceedings
|
| source |
In: Bader, D.A. (ed.); Khokhar, A. A. (ed.): Proceedings of the ISCA
17th International Conference on PARALLEL AND DISTRIBUTED COMPUTING
SYSTEMS, pp. 157-164
|
| contributor |
IPVS, Anwendersoftware
|
| IPVS, Bildverstehen
|
| subject |
Distributed Artificial Intelligence (CR I.2.11)
|
| Information Storage and Retrieval Systems and Software (CR
H.3.4)
|