A QoS-oriented external scheduler
Proceedings of the 2008 ACM symposium on Applied computing
Experimenting the Query Performance of a Grid-Based Sensor Network Data Warehouse
Globe '08 Proceedings of the 1st international conference on Data Management in Grid and Peer-to-Peer Systems
Data Transformation Services over Grids with Real-Time Bound Constraints
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Quality of experience in distributed databases
Distributed and Parallel Databases
| Hi-index | 0.00 |
Data warehouses store large volumes of data according to a multidimensionalmodelthatprovides afastaccess for online analysis. The constant growth in quantity and complexity of data stored in data warehouses has led to a variety of data warehouse applications on distributed systems. Themain benefits of these architectures are parallelized query execution and higher storage capacities. Computing grids in particular are built to combine a large number of heterogeneous distributed resources. Their lack of centralized control however conflicts with the centralized structure of classical data warehouses. Autonomous datamanagement on grid nodes requires efficient communication during query evaluation. The architecture we present supports a global data localization method with the help of a specialized catalog service. Our workis based on a model for uniqueidentification and efficient local indexing of the warehouse data. Local indexes integrate computable aggregates formaximum utilization of locally materialized data in order to facilitate cost-optimized query execution. The grid services implementing these functionalities are deployed on the GGM project's test environment.