Building the data warehouse
DynaMat: a dynamic view management system for data warehouses
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Approximate Query Answering Using Data Warehouse Striping
Journal of Intelligent Information Systems - Special issue on data warehousing and knowledge discovery
Automated Selection of Materialized Views and Indexes in SQL Databases
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
RP*: A Family of Order Preserving Scalable Distributed Data Structures
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Selection and maintenance of views in a data warehouse
Selection and maintenance of views in a data warehouse
Using abstract state machines for distributed data warehouse design
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
Integrating vertical and horizontal partitioning into automated physical database design
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Quality-Assured Design of On-Line Analytical Processing Systems using Abstract State Machines
QSIC '04 Proceedings of the Quality Software, Fourth International Conference
Experimental evidence on partitioning in parallel data warehouses
Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
An evolutionary approach to schema partitioning selection in a data warehouse
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
An overview of a scalable distributed database system SD-SQL server
BNCOD'06 Proceedings of the 23rd British National Conference on Databases, conference on Flexible and Efficient Information Handling
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The new approach that we will propose, in this paper deals with the dynamic data distribution of the data warehouse (DWH) on a set of servers. This distribution is different from the "classical" one which depends on how data is used. It consists in distributing data when the machine reaches its storage limit capacity. The proposed approach insures the scalability and exploits the storage and processing resources available in the organization using the DWH. It is worth noting that our approach is based on a multi-agent model mixed with the scalability distribution proposed by the Scalable Distributed Data Structures.Our multi-agent model is made up of stationary agent classes: Client, Dispatcher, Domain and Server, and a mobile agent class: Messenger. These agents collaborate and achieve automatically the storage, splitting, redirection and access operations on the distributed DWH.In this paper, we focus on the global dynamic for the data access operation and we present the inherent experimental results.