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{{Inproceedings
 
{{Inproceedings
 
|Referiert=True
 
|Referiert=True
 +
|BibTex-ID=klems2010b
 
|Title=Consistency Benchmarking: Evaluating the Consistency Behavior of Middleware Services in the Cloud
 
|Title=Consistency Benchmarking: Evaluating the Consistency Behavior of Middleware Services in the Cloud
 
|Year=2010
 
|Year=2010
 
|Month=Dezember
 
|Month=Dezember
 
|Booktitle=Proceedings of the 8th International Conference on Service Oriented Computing (ICSOC)
 
|Booktitle=Proceedings of the 8th International Conference on Service Oriented Computing (ICSOC)
|Pages=to appear
+
|Pages=627-634
 +
|Organization=8th International Conference, ICSOC
 
|Publisher=Springer
 
|Publisher=Springer
 +
|Address=Berlin Heidelberg
 +
|Editor=Paul P. Maglio, Mathias Weske, Jian Yang, Marcelo Fantinato
 +
|Series=Lecture Notes in Computer Sciences
 
}}
 
}}
 
{{Publikation Details
 
{{Publikation Details
 
|Abstract=Cloud service providers such as Amazon Web Services offer a set of next-generation storage and messaging middleware services that can be utilized on-demand over the Internet. Outsourcing software into the cloud, however, confronts application developers with the challenge of understanding the behavior of distributed systems, which are out of their control. This work proposes an approach to benchmark the consistency behavior of services by example of Amazon Simple Queue Service (SQS), a hosted, Web-scale, distributed message queue that is exposed as a Web service. The data of our consistency benchmarking tests are evaluated with the metric harvest as described by Fox and Brewer (1999). Our tests with SQS indicate that the client-service interaction intensity has an influence on harvest.
 
|Abstract=Cloud service providers such as Amazon Web Services offer a set of next-generation storage and messaging middleware services that can be utilized on-demand over the Internet. Outsourcing software into the cloud, however, confronts application developers with the challenge of understanding the behavior of distributed systems, which are out of their control. This work proposes an approach to benchmark the consistency behavior of services by example of Amazon Simple Queue Service (SQS), a hosted, Web-scale, distributed message queue that is exposed as a Web service. The data of our consistency benchmarking tests are evaluated with the metric harvest as described by Fox and Brewer (1999). Our tests with SQS indicate that the client-service interaction intensity has an influence on harvest.
 +
|ISBN=978-3-642-17357-8
 +
|ISSN=0302-9743
 
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation
 
|Forschungsgruppe=Ökonomie und Technologie der eOrganisation
 +
}}
 +
{{Forschungsgebiet Auswahl
 +
|Forschungsgebiet=Quality Measurement and Benchmarking
 
}}
 
}}

Aktuelle Version vom 10. Juli 2012, 14:47 Uhr


Consistency Benchmarking: Evaluating the Consistency Behavior of Middleware Services in the Cloud


Consistency Benchmarking: Evaluating the Consistency Behavior of Middleware Services in the Cloud



Published: 2010 Dezember
Herausgeber: Paul P. Maglio, Mathias Weske, Jian Yang, Marcelo Fantinato
Buchtitel: Proceedings of the 8th International Conference on Service Oriented Computing (ICSOC)
Reihe: Lecture Notes in Computer Sciences
Seiten: 627-634
Verlag: Springer
Erscheinungsort: Berlin Heidelberg
Organisation: 8th International Conference, ICSOC

Referierte Veröffentlichung

BibTeX

Kurzfassung
Cloud service providers such as Amazon Web Services offer a set of next-generation storage and messaging middleware services that can be utilized on-demand over the Internet. Outsourcing software into the cloud, however, confronts application developers with the challenge of understanding the behavior of distributed systems, which are out of their control. This work proposes an approach to benchmark the consistency behavior of services by example of Amazon Simple Queue Service (SQS), a hosted, Web-scale, distributed message queue that is exposed as a Web service. The data of our consistency benchmarking tests are evaluated with the metric harvest as described by Fox and Brewer (1999). Our tests with SQS indicate that the client-service interaction intensity has an influence on harvest.

ISBN: 978-3-642-17357-8
ISSN: 0302-9743



Forschungsgruppe

Ökonomie und Technologie der eOrganisation


Forschungsgebiet

Quality Measurement and Benchmarking