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We argue for "Consistency Assessment" via benchmarking and simulation to address this problem. In this talk, we present a novel approach using consistency benchmarking, modeling and simulation as a means to predict the consistency guarantees of a distributed storage system. We also show, using a set of concrete examples, how the results can be used to efficiently handle inconsistencies within applications or in  
 
We argue for "Consistency Assessment" via benchmarking and simulation to address this problem. In this talk, we present a novel approach using consistency benchmarking, modeling and simulation as a means to predict the consistency guarantees of a distributed storage system. We also show, using a set of concrete examples, how the results can be used to efficiently handle inconsistencies within applications or in  
 
an additional middleware layer. Using our approach, consistency as a service quality is made transparent and becomes measurable, thereby providing important insight for any application that uses an eventually consistent storage system.
 
an additional middleware layer. Using our approach, consistency as a service quality is made transparent and becomes measurable, thereby providing important insight for any application that uses an eventually consistent storage system.
 
 
|Beschreibung EN=Cloud storage services and NoSQL systems, which have recently found widespread adoption, typically  
 
|Beschreibung EN=Cloud storage services and NoSQL systems, which have recently found widespread adoption, typically  
 
offer only "Eventual Consistency", a rather weak guarantee covering a broad range of consistency behavior. The degree of actual (in-)consistency as a service quality, however, is unknown. As a consequence, the responsibilities imposed on application developers using an eventually consistent storage system are un-known. Furthermore, comparing the diverse cloud storage offerings and NoSQL systems against each other is difficult.
 
offer only "Eventual Consistency", a rather weak guarantee covering a broad range of consistency behavior. The degree of actual (in-)consistency as a service quality, however, is unknown. As a consequence, the responsibilities imposed on application developers using an eventually consistent storage system are un-known. Furthermore, comparing the diverse cloud storage offerings and NoSQL systems against each other is difficult.
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We argue for "Consistency Assessment" via benchmarking and simulation to address this problem. In this talk, we present a novel approach using consistency benchmarking, modeling and simulation as a means to predict the consistency guarantees of a distributed storage system. We also show, using a set of concrete examples, how the results can be used to efficiently handle inconsistencies within applications or in  
 
We argue for "Consistency Assessment" via benchmarking and simulation to address this problem. In this talk, we present a novel approach using consistency benchmarking, modeling and simulation as a means to predict the consistency guarantees of a distributed storage system. We also show, using a set of concrete examples, how the results can be used to efficiently handle inconsistencies within applications or in  
 
an additional middleware layer. Using our approach, consistency as a service quality is made transparent and becomes measurable, thereby providing important insight for any application that uses an eventually consistent storage system.
 
an additional middleware layer. Using our approach, consistency as a service quality is made transparent and becomes measurable, thereby providing important insight for any application that uses an eventually consistent storage system.
 
 
|Veranstaltungsart=Graduiertenkolloquium
 
|Veranstaltungsart=Graduiertenkolloquium
 
|Start=2013/12/18 17:30:00
 
|Start=2013/12/18 17:30:00
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|Vortragender=David Bermbach
 
|Vortragender=David Bermbach
 
|Eingeladen durch=Stefan Tai
 
|Eingeladen durch=Stefan Tai
 +
|PDF=Bermbach Grad.pdf
 
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation
 
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation
 
|In News anzeigen=True
 
|In News anzeigen=True
 
}}
 
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Version vom 4. Dezember 2013, 09:58 Uhr

Benchmarking Eventually Consistent Distributed Storage Systems

Veranstaltungsart:
Graduiertenkolloquium




Cloud storage services and NoSQL systems, which have recently found widespread adoption, typically offer only "Eventual Consistency", a rather weak guarantee covering a broad range of consistency behavior. The degree of actual (in-)consistency as a service quality, however, is unknown. As a consequence, the responsibilities imposed on application developers using an eventually consistent storage system are un-known. Furthermore, comparing the diverse cloud storage offerings and NoSQL systems against each other is difficult.

We argue for "Consistency Assessment" via benchmarking and simulation to address this problem. In this talk, we present a novel approach using consistency benchmarking, modeling and simulation as a means to predict the consistency guarantees of a distributed storage system. We also show, using a set of concrete examples, how the results can be used to efficiently handle inconsistencies within applications or in an additional middleware layer. Using our approach, consistency as a service quality is made transparent and becomes measurable, thereby providing important insight for any application that uses an eventually consistent storage system.

(David Bermbach)




Start: 18. Dezember 2013 um 17:30
Ende: 18. Dezember 2013 um 19:00


Im Gebäude 11.40, Raum: 226

Veranstaltung vormerken: (iCal)


Veranstalter: Forschungsgruppe(n) Ökonomie und Technologie der eOrganisation
Information: Media:Bermbach Grad.pdf