Skip to main content
Springer Nature Link
Log in

PEACOD: A Platform for Evaluation and Comparison of Database Partitioning Schemes

  • Conference paper
Database Systems for Advanced Applications (DASFAA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7239))

Included in the following conference series:

Abstract

Database partitioning is a common technique adopted by database systems running on single or multiple physical machines. It is always crucial yet challenging for a DBA to choose an appropriate partitioning scheme for a database according to a specific query workload. In this paper, we present PEACOD, a platform that aims to ease the burden of DBAs for database partitioning design. By automating the processing of database partitioning scheme evaluation and comparison, PEACOD provides the DBAs with a conventional way to choose a suitable scheme.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. DeWitt, D., Gray, J.: Parallel database systems: the future of high performance database systems. Comm. ACM (1992)

    Google Scholar 

  2. DeCandia, G., Hastorun, D., Jampani, M., et al.: Dynamo: Amazon’s highly available key-value store. In: SOSP (2007)

    Google Scholar 

  3. Curino, C., Jones, E., Zhang, Y., Madden, S.: Schism: a Workload Driven Approach to Database Replication and Partitioning. In: VLDB (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. EMC Labs, China

    Xiaoyan Guo, Jidong Chen & Yu Cao

  2. Southeast University, China

    Mengdong Yang

Authors
  1. Xiaoyan Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jidong Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yu Cao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mengdong Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, Seoul National University, Gwanak-ro, Gwanak-gu, 151747, Seoul, South Korea

    Sang-goo Lee

  2. Computer School, Wuhan University, Luo-jia-shan, Wuchang, 430081, Wuhan, Hubei Province, China

    Zhiyong Peng

  3. School of Information Technology and Electrical Engineering, University of Queensland, 4072, Brisbane, QLD, Australia

    Xiaofang Zhou

  4. Department of Computer Science, Kangwon National University, 192-1, Hyoja2-Dong, 200701, Chuncheon, Kangwon, South Korea

    Yang-Sae Moon

  5. Institute for Computer Science and Business Information, University of Duisburg-Essen, Schützenbahn 70, 45117, Essen, Germany

    Rainer Unland

  6. School of Information and Communication Engineering, Chungbuk National University, 52 Naesudong-ro, Heungdeok-gu, 4072, Cheongju, Chungbuk, South Korea

    Jaesoo Yoo

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Guo, X., Chen, J., Cao, Y., Yang, M. (2012). PEACOD: A Platform for Evaluation and Comparison of Database Partitioning Schemes. In: Lee, Sg., Peng, Z., Zhou, X., Moon, YS., Unland, R., Yoo, J. (eds) Database Systems for Advanced Applications. DASFAA 2012. Lecture Notes in Computer Science, vol 7239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29035-0_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29035-0_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29034-3

  • Online ISBN: 978-3-642-29035-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation