Parallel data warehouses have mostly been seen as dedicated decision support systems, but as the need for cost effective multi-application business solutions grows, non-dedication and adaptation to existing environments become evermore tempting. Data placement in such systems is a major problem seeing as existing environments may have heterogeneous nodes, which process data at different rates, and non-dedicated environments can not promise full resource commitment to execute a query. Therefore it is critical to distribute a data warehouse's information in such a way that no node be overloaded or underestimated. This paper presents the capacity evaluator (CE), an application capable of measuring the system's ability to process information, which in turn helps the data warehouse parallel architecture's (DWPA) automatic data placer determine exactly how much data should be allocated to each node.
['Ricardo Luiz Coltro Antunes', 'Pedro Furtado']
Hardware Capacity Evaluation in Shared-Nothing Data Warehouses