Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Communications of the ACM
The state of the art in distributed query processing
ACM Computing Surveys (CSUR)
Heterogeneous Multimedia Reasoning
Computer
ACM Transactions on Computer Systems (TOCS)
Towards heterogeneous multimedia information systems: the Garlic approach
RIDE '95 Proceedings of the 5th International Workshop on Research Issues in Data Engineering-Distributed Object Management (RIDE-DOM'95)
Scaling heterogeneous databases and the design of Disco
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Vivaldi: a decentralized network coordinate system
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Probabilistic Message Passing in Peer Data Management Systems
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Dynamic Query Processing for P2P Data Services in the Cloud
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
MMSLDI: a distributed data integration system
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
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Many contemporary applications rely heavily on large scale distributed and heterogeneous data sources. The key constraints for building a distributed data query infrastructure for such applications are: scalability, consistency, heterogeneity, and network and resource dynamics. We designed and developed DObjects, a general-purpose query and data operations infrastructure that can be integrated with metacomputing middleware. This demo proposal describes the architecture and the dynamic query processing functionalities of our data services and shows how they are integrated with a metacomputing framework offering users an open platform for building distributed applications that require access to data integrated from multiple data sources.