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Compliant Geo-distributed Data Processing in Action
Citation key BeedkarBQM21
Author Kaustubh Beedkar, David Brekardin, Jorge Arnulfo Quiane Ruiz, Volker Markl
Pages 2843 - 2846
Year 2021
Journal Proc. VLDB Endow.
Volume 14
Number 12
Abstract In this paper we present our work on compliant geo-distributed data processing. Our work focuses on the new dimension of dataflow constraints that regulate the movement of data across geographical or institutional borders. For example, European directives may regulate transferring only certain information fields (such as non-personal information) or aggregated data. Thus, it is crucial for distributed data processing frameworks to consider compliance with respect to dataflow constraints derived from these regulations. We have developed a compliance-based data processing framework, which (i) allows for the declarative specification of dataflow constraints, (ii) determines if a query can be translated into a compliant distributed query execution plan, and (iii) executes the compliant plan over distributed SQL databases. We demonstrate our frame-work using a geo-distributed adaptation of the TPC-H benchmark data. Our framework provides an interactive dashboard, which allows users to specify dataflow constraints, and analyze and execute compliant distributed query execution plans.
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