dc.contributor.author | Saljooghinejad, Hamed | |
dc.date.accessioned | 2016-06-17T12:50:33Z | |
dc.date.available | 2016-06-17T12:50:33Z | |
dc.date.issued | 2016-03-01 | |
dc.date.submitted | 2016-06-17T09:21:24.502Z | |
dc.identifier.citation | Saljooghinejad, H. 2016: Latency Based Approach for Characterization of Cloud Application Performance. Queen Mary University of London. | en_US |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/12928 | |
dc.description | PhD | en_US |
dc.description.abstract | Public cloud infrastructures provide
exible hosting for web application providers, but the
rented virtual machines (VMs) often offer unpredictable performance to the deployed applications.
Understanding cloud performance is challenging for application providers, as clouds
provide limited information that would help them have expectations about their application
performance. In this thesis I present a technique to measure the performance of cloud applications,
based on observations of the application latency. I treat the cloud application as a
black box, making no assumption about the underlying platform. From my measurements, I
can observe the varying performance provided by the different VM profles across well-known
commercial cloud platforms. I also identify a trade-of between the responsiveness and the
load of the measured servers, which can help application providers in their deployment and
provisioning. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Queen Mary University of London | en_US |
dc.subject | Electronic Engineering and Computer Science | en_US |
dc.subject | cloud applications | en_US |
dc.title | Latency Based Approach for Characterization of Cloud Application Performance. | en_US |
dc.type | Thesis | en_US |
dc.rights.holder | The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the author | |