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Data Archiving in the Cloud

Research Project
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15.08.2011
 - 14.08.2019

With the advent of data Clouds that come with nearly unlimited storage capacity combined with low storage costs, the well-established update-in-place paradigm for data management is more and more replaced by a multi-version approach. Especially in a Cloud environment with several geographically distributed data centers that act as replica sites, this allows to keep old versions of data and thus to provide a rich set of read operations with different semantics (e.g., read most recent version, read version not older than, read data as of, etc.). A combination of multi-version data management, replication, and partitioning allows to redundantly store several or even all versions of data items without significantly impacting each single site. However, in order to avoid that single sites in such partially replicated data Clouds are overloaded when processing archive queries that access old versions, query optimization has to jointly consider version selection and load balancing (site selection). In our work, we address novel cost-aware index approaches (called ARCTIC) for version and site selection for a broad range of query types including both fresh data and archive data.

Publications

Brinkmann, Filip-Martin, Fetai, Ilir and Schuldt, Heiko (2016) ‘SLA-basierte Konfiguration eines modularen Datenbanksystems für die Cloud’, in Fasel, Daniel; Meier, Andreas (ed.) Big Data: Grundlagen, Systeme und Nutzungspotenziale. HMD. Wiesbaden: Springer (Praxis der Wirtschaftsinformatik), pp. 179–194. Available at: https://doi.org/10.1007/978-3-658-11589-0.

URLs
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Brinkmann, Filip-Martin and Schuldt, Heiko (2015) ‘Towards Archiving-as-a-Service: A Distributed Index for the Cost-effective Access to Replicated Multi-Version Data’. ACM: ACM. Available at: https://doi.org/10.1145/2790755.2790770.

URLs
URLs

Fetai, Ilir, Brinkmann, Filip-Martin and Schuldt, Heiko (2014) ‘PolarDBMS: Towards a Cost-Effective and Policy-Based Data Management in the Cloud’. IEEE: IEEE. Available at: https://doi.org/10.1109/icdew.2014.6818323.

URLs
URLs

Members (3)

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Heiko Schuldt

Principal Investigator
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Marco Vogt

Project Member
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Filip-Martin Brinkmann

Project Member