Benchmarking OODBs with a Generic Tool

TL;DR

This paper introduces OCB, a flexible benchmarking tool for evaluating object-oriented database performance, especially clustering policies, adaptable to various existing benchmarks and validated through implementations in different systems.

Contribution

The paper presents a generic, extensible benchmarking tool for OODBs that can be customized for different databases and workloads, with validation in multiple systems.

Findings

OCB effectively evaluates clustering policies like DSTC.

OCB is portable and adaptable to various database benchmarks.

Performance results demonstrate the utility of OCB in benchmarking.

Abstract

We present in this paper a generic object-oriented benchmark (OCB: the Object Clustering Benchmark) that has been designed to evaluate the performances of Object-Oriented Data-bases (OODBs), and more specifically the performances of clustering policies within OODBs. OCB is generic because its sample database may be customized to fit any of the databases in-troduced by the main existing benchmarks, e.g., OO1 (Object Operation 1) or OO7. The first version of OCB was purposely clustering-oriented due to a clustering-oriented workload, but OCB has been thoroughly extended to be able to suit other purposes. Eventually, OCB's code is compact and easily portable. OCB has been validated through two implementations: one within the O2 OODB and another one within the Texas persistent object store. The perfor-mances of a specific clustering policy called DSTC (Dynamic, Statistical, Tunable Clustering) have also been evaluated with OCB.