Distributed Benchmarking of Relational Database Systems

  • Authors:
  • Murilo R. Lima;Marcos S. Sunyé;Eduardo C. Almeida;Alexandre I. Direne

  • Affiliations:
  • Federal University of Paraná, C3SL, Curitiba, Brazil;Federal University of Paraná, C3SL, Curitiba, Brazil;Université de Nantes, LINA, Nantes, France;Federal University of Paraná, C3SL, Curitiba, Brazil

  • Venue:
  • APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
  • Year:
  • 2009

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Abstract

Today's DBMS are constantly upon large-scale workloads (e.g., internet) and require a reliable tool to benchmark them upon a similar workload. Usually, benchmarking tools simulate a multi-user workload within a single machine. However, this avoids large-scale benchmarking and also introduces deviations in the result. In this paper, we present a solution for benchmarking DBMS in a fully distributed manner. The solution is based on the TPC-C specification and aims to simulate large-scale workloads. We validate our solution through implementation and experimentation on three open-source DBMS. Through experimentation, we analyze the behavior of all systems and show how our solution is able to scale up the benchmark.