Collaborative query coordination in community-driven data grids

Tobias Scholl, Angelika Reiser, Alfons Kemper

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

E-science communities face huge data management challenges due to large existing data sets and expected data rates from forthcoming projects. Community-driven data grids provide a scalable, high-throughput oriented data management solution for scientific federations by employing domain-specific partitioning schemes and parallelism. In this paper, we present how community-driven data grids can adapt their query coordination strategies in the face of different typical submission scenarios. We explore the impact of submitting queries uniformly or having submission hot spots. By an extensive evaluation of five strategies on simulated and distributed setups, we show that some coordination strategies are preferable to others, regardless of submission skew. Based on our results, we can improve the usability and scalability of community-driven data grids for data-intensive applications.

Original languageEnglish
Title of host publicationProc. 18th ACM International Symposium on High Performance Distributed Computing, HPDC 09, Co-located with the 2009 International Symposium on High Performance Distributed Computing Conf., HPDC'09
Pages207-216
Number of pages10
DOIs
StatePublished - 2009
Event18th ACM International Symposium on High Performance Distributed Computing, HPDC 09, Co-located with the 2009 International Symposium on High Performance Distributed Computing Conference, HPDC'09 - Garching, Germany
Duration: 11 Jun 200913 Jun 2009

Publication series

NameProc. 18th ACM International Symposium on High Performance Distributed Computing, HPDC 09, Co-located with the 2009 International Symposium on High Performance Distributed Computing Conf., HPDC'09

Conference

Conference18th ACM International Symposium on High Performance Distributed Computing, HPDC 09, Co-located with the 2009 International Symposium on High Performance Distributed Computing Conference, HPDC'09
Country/TerritoryGermany
CityGarching
Period11/06/0913/06/09

Keywords

  • Data grids
  • Distributed databases
  • Query processing

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