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Benchmarking Eventually Consistent Distributed Storage Systems
Abstract
Cloud storage services and NoSQL systems typically offer only "Eventual Consistency", a rather weak guarantee covering a broad range of potential data consistency behavior. The degree of actual (in-)consistency, however, is unknown. This work presents novel solutions for determining the degree of (in-)consistency via simulation and benchmarking, as well as the necessary means to resolve inconsistencies leveraging this information- doc-type:doctoralThesis
- Text
- info:eu-repo/semantics/doctoralThesis
- dissertation
- info:eu-repo/semantics/publishedVersion
- Benchmarking
- Konsistenz
- verteilte Datenbanken
- verteilte Systeme
- Eventual Consistency
- Benchmarking
- Consistency
- Distributed Database Management Systems
- Distributed Systems
- Eventual Consistency
- ddc:330
- Economics
- info:eu-repo/classification/ddc/330
Similar works
This paper was published in KITopen.
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