Datenschutzerklärung|Data Privacy

Martin Pagel

Paper ʺCompliant Geo-distributed Query Processing” Accepted for Presentation at SIGMOD 2021

The research paper ʺCompliant Geo-distributed Query Processing,” authored by Kaustubh Beedkar, Jorge Quiane-Ruiz and Volker Markl was accepted for presentation at the ACM SIGMOD International Conference on Management of Data (SIGMOD/PODS 2021), June 20-25, 2021, Xi'an, Shaanxi, China.

In this paper, we address the problem of compliant geo-distributed query processing. In particular, we focus on dataflow policies that impose restrictions on movement of data across geographical or institutional borders. Traditional ways to distributed query processing do not consider such restrictions and therefore in geo-distributed environments may lead to non-compliant query execution plans. For example, an execution plan for a query over data sources from Europe, North America, and Asia, which may otherwise be optimal, may not comply with dataflow policies as a result of shipping some restricted (intermediate) data. We pose this problem of compliance in the setting of geo-distributed query processing. We propose a compliance-based query optimizer that takes into account dataflow policies, which are declaratively specified using our policy expressions, to generate compliant geo-distributed execution plans. Our experimental study using a geo-distributed adaptation of the TPC-H benchmark data indicates that our optimization techniques are effective in generating efficient compliant plans and incur low overhead on top of traditional query optimizers.

> Preprint ʺCompliant Geo-distributed Query Processing” (PDF)

To learn more about SIGMOD/PODS, please visit