|Bibliography||Mohamed, Sherif Yassin Mostafa: Evaluation of Alternative Distributions of a Choreography-based Smart City Transportation Application among Cloud Offerings. |
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 33 (2016).
117 pages, english.
|CR-Schema||C.4 (Performance of Systems)|
D.2.5 (Software Engineering Testing and Debugging)
D.2.8 (Software Engineering Metrics)
D.4.8 (Operating Systems Performance)
In the last years, the amount of applications that are partially or completely migrated to cloud environments has significantly increased. Cloud providers offer nowadays multitude of services, following the Everything-as-a-Service (*aaS) model. However, the utilization of the cloud services involved in such migrations can have high impact over the application’s performance and cost effectiveness. Choreography-based applications, i.e., applications modeled as service choreographies, are typical candidates, due to its distributed nature. In the scope of this thesis we use the Urban Mobility application, which is a choreographybased application introduced in the EU project ALLOW Ensembles. The application lies within the domain of Smart Cities, targeting the utilization and adaptation of computation & technologies in order to offer citizens mobility and transportation services in an efficient manner. The work done in this thesis relies on the decision to migrate the Urban Mobility application to the cloud, i.e., to cloudify its application stack. Towards such a goal, in the thesis we evaluate a set of cloud services spanned among multiple cloud providers. In particular, we analyze and derive a set of viable distribution alternatives of the application components, using different cloud services, such as IaaS or DBaaS. Finally this thesis designs and drives an extensive empirical analysis to evaluate the impact of different distribution alternatives, focusing on the performance and cost offered by the different cloud services. The problem tackled is mutli-dimensional. There is no "optimal" distribution with respect to all evaluated aspects. Nevertheless, the empirical and analytical results produced in this thesis are aimed to report the performance of different application viable distributions, which can be leveraged in the decision making tasks related to the selection and configuration of cloud services.
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|Department(s)||University of Stuttgart, Institute of Architecture of Application Systems|
|Superviser(s)||Leymann, Prof. Frank; Gómez Sáez, Santiago|
|Entry date||August 1, 2018|