Scientific database for evaluating research performance.

Evaluating Join Performance on Relational Database Systems

The join operator is fundamental in relational database systems. Evaluating join queries on large tables is challenging because records need to be efficiently matched based on a given key. In this work, we analyze join queries in SQL with large tables in which a foreign key may be null, invalid or valid, given a referential integrity constraint. We conduct an extensive join performance evaluati...

Evaluating the Performance of Dynamic Database Applications

This chapter explores the effect that changing access patterns has on the performance of database management systems. Changes in access patterns play an important role in determining the efficiency of key performance optimization techniques, such as dynamic clustering, prefetching, and buffer replacement. However, all existing benchmarks or evaluation frameworks produce static access patterns i...

Evaluating and Comparing Oracle Database Appliance Performance

High-Performance GRID Stream Database Manager for Scientific Data

In this work we describe a high-performance stream-oriented distributed database manager and query processor under development that allows efficient execution of database queries to streamed data involving numerical and other data. Very high performance is attained by utilizing many object-relational main-memory database engines running on PCs and connected through the GRID.

High-performance GRID Database Manager for Scientific Data

The GRID initiative provides an infrastructure for distributed computations among widely distributed high-performance computers. This will allow for exchanging and processing very large amounts of data. The LOFAR project (www.nfra.nl/lofar) is an international initiative to build a versatile, geographically distributed, multi-point radio facility for astrophysics, space physics, atmospheric phy...