Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Relational database theory
The Information Bus: an architecture for extensible distributed systems
SOSP '93 Proceedings of the fourteenth ACM symposium on Operating systems principles
A framework for scalable dissemination-based systems
Proceedings of the 12th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
A component and communication model for push systems
ESEC/FSE-7 Proceedings of the 7th European software engineering conference held jointly with the 7th ACM SIGSOFT international symposium on Foundations of software engineering
The many faces of publish/subscribe
ACM Computing Surveys (CSUR)
Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
Enterprise information integration: successes, challenges and controversies
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Economics-Driven Data Management: An Application to the Design of Tabular Data Sets
IEEE Transactions on Knowledge and Data Engineering
Toward a Unified View of Data and Services
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
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In medium-big enterprise it is quite typical that the database architecture is defined through a sequence of projects and realizations that result a number of different and sometime overlapping data sources. This trend is worsened by merger and acquisition activities that add in existing data architecture new data sources from external organizations. Data fragmentation reduces significantly the possibility to exploit organizational information assets and it needs the building of a data integration architecture. This architecture allows the organization to access to data stored by heterogeneous data sources and to manage updates through a unified view of this data. In this paper we present an original framework able to support the evolution of data architecture by identifying the optimal solution that maximize the quality of the overall architecture within a given cost threshold. In particular, we focus on Publish and Subscribe as solution for data architecture.