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|Abstract=Over the last few years, Cloud storage systems and so-called NoSQL datastores have found widespread adoption. In contrast to traditional databases, these storage systems typically sacrifice consistency in favor of latency and availability as mandated by the CAP theorem, so that they only guarantee eventual consistency. Existing approaches to benchmark these storage systems typically omit the consistency dimension or did not investigate eventuality of consistency guarantees. In this work we present a novel approach to benchmark staleness in distributed datastores and use the approach to evaluate Amazon's Simple Storage Service (S3). We report on our unexpected findings.
 
|Abstract=Over the last few years, Cloud storage systems and so-called NoSQL datastores have found widespread adoption. In contrast to traditional databases, these storage systems typically sacrifice consistency in favor of latency and availability as mandated by the CAP theorem, so that they only guarantee eventual consistency. Existing approaches to benchmark these storage systems typically omit the consistency dimension or did not investigate eventuality of consistency guarantees. In this work we present a novel approach to benchmark staleness in distributed datastores and use the approach to evaluate Amazon's Simple Storage Service (S3). We report on our unexpected findings.
|Download=How soon is eventual.pdf,  
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|Download=How soon is eventual.pdf,
 
|Projekt=Software-Cluster
 
|Projekt=Software-Cluster
 
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation
 
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Quality Measurement and Benchmarking
 
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Aktuelle Version vom 17. Juli 2012, 07:26 Uhr


Eventual Consistency: How soon is eventual? An Evaluation of Amazon S3's Consistency Guarantees


Eventual Consistency: How soon is eventual? An Evaluation of Amazon S3's Consistency Guarantees



Published: 2011

Buchtitel: Proceedings of the 6th MW4SOC Workshop of the 12th International Middleware Conference 2011
Verlag: ACM

Referierte Veröffentlichung

BibTeX

Kurzfassung
Over the last few years, Cloud storage systems and so-called NoSQL datastores have found widespread adoption. In contrast to traditional databases, these storage systems typically sacrifice consistency in favor of latency and availability as mandated by the CAP theorem, so that they only guarantee eventual consistency. Existing approaches to benchmark these storage systems typically omit the consistency dimension or did not investigate eventuality of consistency guarantees. In this work we present a novel approach to benchmark staleness in distributed datastores and use the approach to evaluate Amazon's Simple Storage Service (S3). We report on our unexpected findings.

Download: Media:How soon is eventual.pdf

Projekt

Software-Cluster



Forschungsgruppe

Ökonomie und Technologie der eOrganisation


Forschungsgebiet

Quality Measurement and Benchmarking