Talks and Poster Presentations (with Proceedings-Entry):

H. Truong, M. Karan:
"Analytics of Performance and Data Quality for Mobile Edge Cloud Applications";
Talk: Workshop, Session Cloud Performance and Reliability 1 at the IEEE International Conference on Cloud Computing (IEEE CLOUD 2018), San Francisco, CA, USA; 2018-07-02 - 2018-07-07; in: "Proceedings of the IEEE International Conference on Cloud Computing (IEEE CLOUD 2018)", IEEE, (2018), ISBN: 978-1-5386-7236-5; 660 - 667.

English abstract:
Emerging edge/fog computing models have fostered new types of applications whose software components and dependent services are provisioned across distributed edge and cloud infrastructures. The design of mobile edge cloud systems is complex, thus it is important to understand suitable deployment models and test them. Since mobile edge cloud computing and its deployments are quite new, there is a lack of techniques and knowledge about possible deployments, configurations, and performance evaluation. In this paper, we present our experiences on studying the impact of performance and data quality for mobile edge cloud systems. We use a mobile edge cloud cornering assistance (MECCA) application to examine various performance and data quality impact. In this paper, we explain how by using MECCA to test performance and data quality, we draw key issues and steps in analytics of edge cloud applications and lessons learned for mobile edge computing application testing.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.