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Intelligent Cloud Benchmarking Tool



Informationen zur Arbeit

Abschlussarbeitstyp: Diplom
Betreuer: Michael Menzel
Forschungsgruppe: Ökonomie und Technologie der eOrganisation

Archivierungsnummer: 3321
Abschlussarbeitsstatus: In Bearbeitung
Beginn: unbekannt
Abgabe: unbekannt

Weitere Informationen

Cloud Computing has become a major trend for Web applications since Cloud technologies provide many benefits such as elasticity and pay-per-use billing. Over time many Cloud provider have entered the stage offering services to run a Web application in the Cloud. Choosing a Cloud provider is complex and requires to consider multiple factors, such as service costs, service levels, switching costs or technological requirements.

One important factor is the performance of a Cloud service. Performance can be measured on a technical basis and its economical importance is reflected by a metric that contrasts performance to costs [1]. However, measuring the performance attributes of all existing Cloud providers and all offered services is very costly and time consuming. An advanced approach that can reduce the effort tremendously has been introduced by Haak and Menzel [2]. The complexity of the approach is high what makes it practically unusable for manual application.

Therefore, an automated and extensible benchmarking tool must implement the approach. The tool must support the measurement of Cloud service performances on multiple metrics and for different service types, and employ the stopping theory to reduce the overall cost and time effort.


Ausschreibung: Download (pdf)


Bewerbungen an Michael Menzel.