User Performance Modeling for Network Optimization

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Oulasvirta, Antti
dc.contributor.author Pandit, Jitendra
dc.date.accessioned 2015-12-16T07:35:31Z
dc.date.available 2015-12-16T07:35:31Z
dc.date.issued 2015-12-14
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/19059
dc.description.abstract With the advancement in networking technology, the growth of interactive applications have risen dramatically. Many interactive activities such as teleoperation, web search, business applications, video conferencing, remote desktop control and gaming are very popular in the recent years. The effectiveness and ease of access of these applications depend on the quality of service (QoS) provided by the network. QoS parameters such as bandwidth, loss rate, delay, jitter and bit rate are examined to optimize the network. However, user performance in accomplishing the goals of these activities are not taken into account for optimization of network. In this thesis, we define and model the user performance with respect to QoS parameters. However, user performance is difficult to model because it is user-specific activity and subsumes multiple interrelated variables like success, speed and accuracy. We use first person shooter game as the platform for the user performance modeling with reference to Fitts’ law pointing task. User performance model exerts speed and accuracy in the form of the user metrics for this application. The result of the experiment shows that loss rate and latency have impact on the user performance metrics: (1) Throughput of pointing task and efficiency of first person shooter game linearly varies with latency and loss rate; (2) The relation between throughput and efficiency has positive correlation. Statistical testing, analysis of variance (ANOVA) is used to determine the effect of latency and loss on user performance. On the basis of data analysis, user performance modeled as a linear function QoS parameter. Furthermore, we demonstrate the user performance models can contribute in the network optimization by using the dynamic QoS management. In addition, we try to relate the user performance metrics as the objective parameters of the Quality of Experience. en
dc.format.extent 67 + 8
dc.language.iso en en
dc.title User Performance Modeling for Network Optimization en
dc.type G2 Pro gradu, diplomityö en
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.subject.keyword quality of experience en
dc.subject.keyword quality of service en
dc.subject.keyword network optimization en
dc.subject.keyword Efficiency en
dc.subject.keyword speed-accuracy en
dc.subject.keyword user performance en
dc.identifier.urn URN:NBN:fi:aalto-201512165577
dc.programme.major Networking Technology fi
dc.programme.mcode S3029 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Oulasvirta, Antti
dc.programme TLT - Master’s Programme in Communications Engineering (TS2005) fi
dc.location P1 fi


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