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A generic framework for distributed data replication based on multi agent technology Host Publication: Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet Authors: K. Raczka, M. Stoufs, B. Jansen and W. Wajs Publication Date: Jun. 2007
Abstract: The medical domain is one of the most important domains suffering from data integration and replication problems. The amount of available digital medical information, such as medical images, has not only increased dramatically [1] but is typically also located in different departments with heterogeneous databases. This distributed database approach presents several advantages over a central database and allows for local autonomy, improved query performance and improved modularity. However, because the database systems work on their own, it is quite likely that the stored data present completely disparate life cycles, peak hours of usage and scheduled windows of being unavailable. This causes the replication of information from these distributed databases which contain heterogeneous information sources to become more and more complex. Recently, the usage of agent-based technology including multi-agent systems [2, 3] was recognized as a valuable approach in the integration and replication of (medical) data and signals [4ᆞ]. However, most of these systems only provide dedicated solutions, rather than being applicable in a more general context [11]. Some general replication frameworks exist, but rather focus on the matching of schemas and semantic heterogeneity [5] than on the technicalities of the integration and replication process.
In this document, we propose a general framework which exploits agent based technology to provide efficient and robust integration and replication of distributed medical data sources.
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