Mehedi Masud

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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(More)
E-Health systems provide a collaborative platform for sharing patients medical data typically stored in distributed autonomous healthcare data sources. Each autonomous source stores its medical and multimedia data without following any global structure. This causes heterogeneity in the underlying sources with respect to the data and storage structure.(More)
The paper presents a transaction processing mechanism in a peer-to-peer (P2P) database environment that combines both P2P and database management systems functionalities. We assume that each peer has an independently created relational database and data heterogeneity between two peers is resolved by data-level mappings. For such an environment , the paper(More)
The strong dynamics of peer-to-peer networks, coupled with the diversity of peer vocabularies, makes query processing in peer database systems a very challenging task. In this paper, we propose a framework for translating expressive relational queries across heterogeneous peer databases. Our framework avoids an integrated global schema or centralized(More)
Peer data sharing systems use either schema-level or data-level map-pings to resolve schema as well as data heterogeneity among data sources (peers). Schema-level mappings create structural relationships among different schemas. On the other hand, data-level mappings associate data values in two different sources. These two kinds of mappings are(More)