Client/server programming with Java and CORBA (2nd ed.)
Client/server programming with Java and CORBA (2nd ed.)
Informia: a mediator for integrated access to heterogeneous information sources
Proceedings of the seventh international conference on Information and knowledge management
The state of the art in distributed query processing
ACM Computing Surveys (CSUR)
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Scaling Access to Heterogeneous Data Sources with DISCO
IEEE Transactions on Knowledge and Data Engineering
Disk Allocation Methods for Parallelizing Grid Files
Proceedings of the Tenth International Conference on Data Engineering
Optimizing Queries Across Diverse Data Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
A View System for CORBA-Wrapped Data Sources
ADL '00 Proceedings of the IEEE Advances in Digital Libraries 2000
A schema-based approach to building a bioinformatics database federation
BIBE '00 Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering
Optimizing Queries in Distributed and Composable Mediators
COOPIS '99 Proceedings of the Fourth IECIS International Conference on Cooperative Information Systems
Interoperability of Biological Databases by CORBA
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Efficient Disk Allocation Schemes for Parallel Retrieval of Multidimensional Grid Data
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
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The Human Genetics Unit (HGU) of the Medical Research Council (MRC) in Edinburgh has developed the Edinburgh Mouse Atlas, a spatial temporal framework to store and analyze biological data including 3D images that relate to mouse embryo development. The purpose of the system is the analysis and querying of complex spatial patterns in particular the patterns of gene activity during embryo development. The framework holds large 3D grey level images and is implemented in part as an object-oriented database. In this paper we propose a layered architecture, based on the mediator approach, for the design of a transparent, and scalable distributed system which can process objects that can exceed 1GB in size. The system's data are distributed and/or declustered, across a number of image servers and are processed by specialized mediators.