Publication
DSN-Industry Track 2019
Conference paper

System Restore in a Multi-cloud Data Pipeline Platform

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Abstract

Data pipeline platforms hosting big data analytics can span multiple clouds. Backup and restore service is typically applied to deal with data corruptions in such platforms. This paper proposes a novel approach to providing consistency to the restored state of a multi-cloud data pipeline platform from its backups, and also presents the performance of the approach demonstrated in a dry run test.

Date

01 Jun 2019

Publication

DSN-Industry Track 2019

Authors

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