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Quality of Service Prognosis in Mobile Networks

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Title: Quality of Service Prognosis in Mobile Networks
Author(s): Abbas, Hassan
Contributor: University of Helsinki, Faculty of Science, Department of Computer Science
Language: English
Acceptance year: 2018
Mobile users surpassing desktop users have tempted mobile network operators to deploy traffic shaping policies to utilize the resources efficiently. These policies have significantly lowered the quality of service of applications. Present systems can accurately detect the traffic discrimination of different application protocols for instance BitTorrent in context to HTTP protocol and extract the quality of the service statistically by comparing the data. This thesis proposes a method that tries to understand the system performance and applications behavior along with the network performance in requesting and delivering the desired quality of service. We devised a framework which tests an MNO (Mobile Network Operator) and their policies on the 4G Network regarding the Type of Service flags in the IP Header. We investigate whether the network path allows applications like Skype, WhatsApp, Facebook Messenger and Viber to set the Type of Service (DSCP Class) in their IP Header. We implemented the framework as an Android application which sets the DSCP Class in the IP Header for each respective application’s data. Our results show that major mobile network operators in Finland do not allow the applications to set DSCP classes in their IP Header for the better quality of service.

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