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Performance evaluation of parallel transaction processing in shared nothing database systems

  • Robert Marek
  • Erhard Rahm
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 605)

Abstract

Complex and data-intensive database queries mandate parallel processing strategies to achieve sufficiently short response times. In praxis, parallel database processing is mostly based on so-called “shared nothing” architectures entailing a physical partitioning and allocation of the database among multiple processing nodes. We examine the performance of such architectures by using a detailed simulation system. We analyse response time performance of transactions and individual database queries in single-user as well as in multi-user mode. Furthermore, we study the throughput behavior for on-line transactions. Three workload types covering a wide range of commercial applications are used for performance evaluation: the debit-credit benchmark load, synthetically generated relational queries as well as real-life workloads represented by database traces.

Keywords

Processing Element Communication Overhead Object Reference Relational Query Transaction Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Robert Marek
    • 1
  • Erhard Rahm
    • 1
  1. 1.Dept. of Computer ScienceUniversity of KaiserslauternKaiserslauternGermany

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