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Towards an Extensible Middleware for Database Benchmarking

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Performance Characterization and Benchmarking. Traditional to Big Data (TPCTC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8904))

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Abstract

Today’s database benchmarks are designed to evaluate a particular type of database. Furthermore, popular benchmarks, like those from TPC, come without a ready-to-use implementation requiring database benchmark users to implement the benchmarking tool from scratch. The result of this is that there is no single framework that can be used to compare arbitrary database systems. The primary reason for this, among others, being the complexity of designing and implementing distributed benchmarking tools.

In this paper, we describe our vision of a middleware for database benchmarking which eliminates the complexity and difficulty of designing and running arbitrary benchmarks: workload specification and interface mappers for the system under test should be nothing but configuration properties of the middleware. We also sketch out an architecture for this benchmarking middleware and describe the main components and their requirements.

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Notes

  1. 1.

    project-voldemort.com.

  2. 2.

    mongodb.org.

  3. 3.

    couchdb.apache.org.

  4. 4.

    mysql.com.

  5. 5.

    postgresql.org.

  6. 6.

    memcached.org.

  7. 7.

    redis.io.

  8. 8.

    neo4j.org.

  9. 9.

    NewSQL is a term used to refer to a new generation of RDBMS that attempt to provide the same scalable performance of NoSQL systems for OLTP applications while maintaining the full ACID guarantees provided by traditional RDBMS.

  10. 10.

    voltdb.com.

  11. 11.

    nuodb.com.

  12. 12.

    tpc.org.

  13. 13.

    ntp.org.

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Author information

Authors and Affiliations

  1. Information Systems Engineering Group, TU Berlin, Berlin, Germany

    David Bermbach & Jörn Kuhlenkamp

  2. School of Information Technologies, University of Sydney, Sydney, Australia

    Akon Dey

  3. King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

    Sherif Sakr

  4. Cisco Systems, Inc., San Jose, USA

    Raghunath Nambiar

Authors
  1. David Bermbach
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  2. Jörn Kuhlenkamp
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  3. Akon Dey
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  4. Sherif Sakr
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  5. Raghunath Nambiar
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Corresponding author

Correspondence to Akon Dey .

Editor information

Editors and Affiliations

  1. Cisco Systems, Inc., San Jose, California, USA

    Raghunath Nambiar

  2. Oracle Corporation, Redwood Shores, California, USA

    Meikel Poess

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Bermbach, D., Kuhlenkamp, J., Dey, A., Sakr, S., Nambiar, R. (2015). Towards an Extensible Middleware for Database Benchmarking. In: Nambiar, R., Poess, M. (eds) Performance Characterization and Benchmarking. Traditional to Big Data. TPCTC 2014. Lecture Notes in Computer Science(), vol 8904. Springer, Cham. https://doi.org/10.1007/978-3-319-15350-6_6

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