Energy-aware Performance Analysis of Queueing Systems

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Lassila, Pasi
dc.contributor.author Lu, Xiaohua
dc.date.accessioned 2013-10-14T11:59:00Z
dc.date.available 2013-10-14T11:59:00Z
dc.date.issued 2013-08-30
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/11114
dc.description.abstract ICT systems, especially data centers, consume a significant amount of energy in our daily life. With the rapidly increasing number and size of data centers, energy management is becoming essential. Thus, it is beneficial if the used energy in data centers can be utilized more efficiently. In this thesis, we analyze the energy-aware performance of queueing systems from the traffic point of view. The focus will be on using queueing theory to model and analyze a single processor in data centers. In data centers, the energy consumed by a processor depends on the processing speed. With higher speed, more energy is consumed, while with lower speed, the performance will be decreased. Thus, we consider the trade-off between the performance and energy consumption of processors. Based on this, we introduce a speed scaling method, which adjusts the processing speed of processors according to the traffic load of the queueing system. We mainly analyze and compare three optimized speed scaling methods, which are static, gated and linear speed scaling. In the gated and linear schemes, there is a switching delay when the processor is switched from the idle state to the busy state. The results demonstrate that the switching delay has a great impact on the optimized trade-off. In our scenario, without switching delay, gated and linear schemes have the same performance, and they are better than the static scheme. With switching delay, however, the linear scheme is always better than the gated scheme. With a long switching delay, even the static scheme can be better. In practice, the trade-off of our model is highly affected by the parameters in the model. en
dc.format.extent 57+6
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Energy-aware Performance Analysis of Queueing Systems en
dc.type G2 Pro gradu, diplomityö en
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.contributor.department Department of Communications and Networking en
dc.subject.keyword speed scaling en
dc.subject.keyword energy-aware en
dc.subject.keyword switching delay en
dc.subject.keyword queueing theory en
dc.identifier.urn URN:NBN:fi:aalto-201310157687
dc.programme.major Networking Technology fi
dc.programme.mcode S3029 fi
dc.type.ontasot Diplomityö fi
dc.type.ontasot Master's thesis en
dc.contributor.supervisor Aalto, Samuli
dc.programme TLT - Master’s Programme in Communications Engineering fi
dc.location P1 fi


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