Advertisement

© 2014

Benchmarking Transaction and Analytical Processing Systems

The Creation of a Mixed Workload Benchmark and its Application

Book

Part of the In-Memory Data Management Research book series (IMDM)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Anja Bog
    Pages 1-12
  3. Background of Transactional and Analytical Systems in Logical Database Design and Benchmarking

  4. Towards a Benchmark for Mixed Workloads and Its Application in Evaluating Database Schemas

  5. Implementation, Evaluation, and Discussion

    1. Front Matter
      Pages 109-109
    2. Anja Bog
      Pages 111-119
    3. Anja Bog
      Pages 133-138
  6. Back Matter
    Pages 139-164

About this book

Introduction

Systems for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are currently separate. The potential of the latest technologies and changes in operational and analytical applications over the last decade have given rise to the unification of these systems, which can be of benefit for both workloads. Research and industry have reacted and prototypes of hybrid database systems are now appearing.

Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well.

Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios.

Keywords

Analytical Business Processing Benchmarking Database Systems OLAP OLTP Transactional Business Processing

Authors and affiliations

  1. 1., Hasso-Plattner-InstituteUniversity of PotsdamPotsdamGermany

About the authors

Anja Bog is a PhD candidate and research assistant at the research group "Enterprise Platform and Integration Concepts" of Prof. Dr. h.c. Hasso Plattner, Hasso Plattner Institute, Potsdam, Germany. Her special interests lie in the data management systems underneath operational and analytical business applications, and in the question of validating the integrated data management of both domains. Anja Bog holds a Master of Science with Distinction in IT Systems Engineering from the Hasso Plattner Institute at the University of Potsdam.

Bibliographic information

Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
IT & Software
Telecommunications
Law
Consumer Packaged Goods
Aerospace
Engineering
Finance, Business & Banking
Electronics

Reviews

From the reviews:

“In this book, the author proposes to combine OLTP and OLAP systems to achieve enhanced efficiency and reduced cost, and introduces a benchmark to study the performance of such systems under different workload conditions. … I recommend this book to professionals handling online data processing services and applications, and researchers who are working toward enhancing existing online data processing systems and benchmarks.” (Rinki Sharma, Computing Reviews, December, 2013)