Dr. Stefan Geißler

Metzger, F., Geißler, S., Grigorjew, A., Loh, F., Moldovan, C., Seufert, M., Hoßfeld, T.: An Introduction to Online Video Game QoS and QoE Influencing Factors. IEEE Communications Surveys & Tutorials. (2022).

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Online video games and cloud gaming are rapidly growing in pervasiveness. Their resource demands can put significant stress on the global communication infrastructure. And network conditions are amongst the chief factors that influence one's enjoyment while playing games. This makes it imperative for video games to be considered for network dimensioning, server placement or protocol development. For that reason, in this work we provide an introduction to the technical aspects of video games in general and of their network aspects in particular. This understanding forms the basis for a rich taxonomy of factors that influence and provide context to a video game's Quality of Service (QoS) and Quality of Experience (QoE). The taxonomy covers influence factors from all aspects involved in a video game, from the subjective player and game influence factors to the system and networking influence factors. Finally, this work gives an overview of conducted and ongoing research as well as future research opportunities while taking into account lessons learned from past approaches.

@article{info3-article-2022-16,
  abstract = {Online video games and cloud gaming are rapidly growing in pervasiveness. Their resource demands can put significant stress on the global communication infrastructure. And network conditions are amongst the chief factors that influence one's enjoyment while playing games. This makes it imperative for video games to be considered for network dimensioning, server placement or protocol development. For that reason, in this work we provide an introduction to the technical aspects of video games in general and of their network aspects in particular. This understanding forms the basis for a rich taxonomy of factors that influence and provide context to a video game's Quality of Service (QoS) and Quality of Experience (QoE). The taxonomy covers influence factors from all aspects involved in a video game, from the subjective player and game influence factors to the system and networking influence factors. Finally, this work gives an overview of conducted and ongoing research as well as future research opportunities while taking into account lessons learned from past approaches.},
  author = {Metzger, Florian and Geißler, Stefan and Grigorjew, Alexej and Loh, Frank and Moldovan, Christian and Seufert, Michael and Hoßfeld, Tobias},
  journal = {IEEE Communications Surveys & Tutorials},
  keywords = {sys:hidden:article},
  month = 5,
  title = {An Introduction to Online Video Game QoS and QoE Influencing Factors},
  year = 2022
}

%0 Journal Article
%1 info3-article-2022-16
%A Metzger, Florian
%A Geißler, Stefan
%A Grigorjew, Alexej
%A Loh, Frank
%A Moldovan, Christian
%A Seufert, Michael
%A Hoßfeld, Tobias
%D 2022
%J IEEE Communications Surveys & Tutorials
%T An Introduction to Online Video Game QoS and QoE Influencing Factors
%X Online video games and cloud gaming are rapidly growing in pervasiveness. Their resource demands can put significant stress on the global communication infrastructure. And network conditions are amongst the chief factors that influence one's enjoyment while playing games. This makes it imperative for video games to be considered for network dimensioning, server placement or protocol development. For that reason, in this work we provide an introduction to the technical aspects of video games in general and of their network aspects in particular. This understanding forms the basis for a rich taxonomy of factors that influence and provide context to a video game's Quality of Service (QoS) and Quality of Experience (QoE). The taxonomy covers influence factors from all aspects involved in a video game, from the subjective player and game influence factors to the system and networking influence factors. Finally, this work gives an overview of conducted and ongoing research as well as future research opportunities while taking into account lessons learned from past approaches.

Vomhoff, V., Geißler, S., Hoßfeld, T.: Identification of Signaling Patterns in Mobile IoT Signaling Traffic. WueWoWAS 22 - KuVS Fachgespräch - Würzburg Workshop on Next-Generation Communication Networks (2022).

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@inproceedings{info3-inproceedings-2022-8,
  author = {Vomhoff, Viktoria and Geißler, Stefan and Hoßfeld, Tobias},
  booktitle = {WueWoWAS 22 - KuVS Fachgespräch - Würzburg Workshop on Next-Generation Communication Networks},
  keywords = {can},
  month = 7,
  title = {Identification of Signaling Patterns in Mobile IoT Signaling Traffic},
  year = 2022
}

%0 Conference Paper
%1 info3-inproceedings-2022-8
%A Vomhoff, Viktoria
%A Geißler, Stefan
%A Hoßfeld, Tobias
%B WueWoWAS 22 - KuVS Fachgespräch - Würzburg Workshop on Next-Generation Communication Networks
%D 2022
%T Identification of Signaling Patterns in Mobile IoT Signaling Traffic

Raffeck, S., Geißler, S., Hoßfeld, T.: DBM: Decentralized Burst Mitigation for Self-Organizing LoRa Deployments. KuVS Fachgespräch - Würzburg Workshop on Modeling, Analysis and Simulation of Next-Generation Communication Networks 2022 (2022).

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@inproceedings{info3-inproceedings-2022-7,
  author = {Raffeck, Simon and Geißler, Stefan and Hoßfeld, Tobias},
  booktitle = {KuVS Fachgespräch - Würzburg Workshop on Modeling, Analysis and Simulation of Next-Generation Communication Networks 2022},
  keywords = {can},
  month = 7,
  title = {DBM: Decentralized Burst Mitigation for Self-Organizing LoRa Deployments},
  year = 2022
}

%0 Conference Paper
%1 info3-inproceedings-2022-7
%A Raffeck, Simon
%A Geißler, Stefan
%A Hoßfeld, Tobias
%B KuVS Fachgespräch - Würzburg Workshop on Modeling, Analysis and Simulation of Next-Generation Communication Networks 2022
%D 2022
%T DBM: Decentralized Burst Mitigation for Self-Organizing LoRa Deployments

Hoßfeld, T., Raffeck, S., Loh, F., Geißler, S.: Analytical Model for the Energy Efficiency in Low Power IoT Deployments. 1st International Workshop on Network Energy Efficiency in the Softwarization Era (2022).

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The recent rise of the Internet of Things (IoT) has given way to numerous challenges and research questions. One of the most critical issues in the area of low powered devices is the question of energy efficiency. Here, technologies like LoRa or Zigbee emerged, promising low power consumption while maintaining adequate performance. However, even when using these tailor made technologies, several configuration aspects need to be taken into account to provide high performance, energy efficient operation. To this end, we propose a generic model to compute the energy efficiency of wireless sensors under the assumption of perfect CSMA/CA channel access. We present numerical results for a typical LoRa device and highlight extensions towards other channel access mechanisms. Finally, we apply Kleinrock's power metric to obtain ideal system configurations for varying load parameters.

@inproceedings{info3-inproceedings-2022-6,
  abstract = {The recent rise of the Internet of Things (IoT) has given way to numerous challenges and research questions. One of the most critical issues in the area of low powered devices is the question of energy efficiency. Here, technologies like LoRa or Zigbee emerged, promising low power consumption while maintaining adequate performance. However, even when using these tailor made technologies, several configuration aspects need to be taken into account to provide high performance, energy efficient operation. To this end, we propose a generic model to compute the energy efficiency of wireless sensors under the assumption of perfect CSMA/CA channel access. We present numerical results for a typical LoRa device and highlight extensions towards other channel access mechanisms. Finally, we apply Kleinrock's power metric to obtain ideal system configurations for varying load parameters.},
  author = {Hoßfeld, Tobias and Raffeck, Simon and Loh, Frank and Geißler, Stefan},
  booktitle = {1st International Workshop on Network Energy Efficiency in the Softwarization Era},
  keywords = {can},
  month = 6,
  title = {Analytical Model for the Energy Efficiency in Low Power IoT Deployments},
  year = 2022
}

%0 Conference Paper
%1 info3-inproceedings-2022-6
%A Hoßfeld, Tobias
%A Raffeck, Simon
%A Loh, Frank
%A Geißler, Stefan
%B 1st International Workshop on Network Energy Efficiency in the Softwarization Era
%D 2022
%T Analytical Model for the Energy Efficiency in Low Power IoT Deployments
%X The recent rise of the Internet of Things (IoT) has given way to numerous challenges and research questions. One of the most critical issues in the area of low powered devices is the question of energy efficiency. Here, technologies like LoRa or Zigbee emerged, promising low power consumption while maintaining adequate performance. However, even when using these tailor made technologies, several configuration aspects need to be taken into account to provide high performance, energy efficient operation. To this end, we propose a generic model to compute the energy efficiency of wireless sensors under the assumption of perfect CSMA/CA channel access. We present numerical results for a typical LoRa device and highlight extensions towards other channel access mechanisms. Finally, we apply Kleinrock's power metric to obtain ideal system configurations for varying load parameters.

Geißler, S.: Performance Evaluation of Next-Generation Data Plane Architectures and their Components, (2022).

[ Abstract ]
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In this doctoral thesis we cover the performance evaluation of next generation data plane architectures, comprised of complex software as well as programmable hardware components that allow fine granular configuration. In the scope of the thesis we propose mechanisms to monitor the performance of singular components and model key performance indicators of software based packet processing solutions. We present novel approaches towards network abstraction that allow the integration of heterogeneous data plane technologies into a singular network while maintaining total transparency between control and data plane. Finally, we investigate a full, complex system consisting of multiple software-based solutions and perform a detailed performance analysis. We employ simulative approaches to investigate overload control mechanisms that allow efficient operation under adversary conditions. The contributions of this work build the foundation for future research in the areas of network softwarization and network function virtualization.

@phdthesis{info3-dissertation-2022-1,
  abstract = {In this doctoral thesis we cover the performance evaluation of next generation data plane architectures, comprised of complex software as well as programmable hardware components that allow fine granular configuration. In the scope of the thesis we propose mechanisms to monitor the performance of singular components and model key performance indicators of software based packet processing solutions. We present novel approaches towards network abstraction that allow the integration of heterogeneous data plane technologies into a singular network while maintaining total transparency between control and data plane. Finally, we investigate a full, complex system consisting of multiple software-based solutions and perform a detailed performance analysis. We employ simulative approaches to investigate overload control mechanisms that allow efficient operation under adversary conditions. The contributions of this work build the foundation for future research in the areas of network softwarization and network function virtualization.},
  author = {Geißler, Stefan},
  keywords = {can},
  month = 4,
  school = {University of Würzburg},
  title = {Performance Evaluation of Next-Generation Data Plane Architectures and their Components},
  year = 2022
}

%0 Thesis
%1 info3-dissertation-2022-1
%A Geißler, Stefan
%D 2022
%T Performance Evaluation of Next-Generation Data Plane Architectures and their Components
%X In this doctoral thesis we cover the performance evaluation of next generation data plane architectures, comprised of complex software as well as programmable hardware components that allow fine granular configuration. In the scope of the thesis we propose mechanisms to monitor the performance of singular components and model key performance indicators of software based packet processing solutions. We present novel approaches towards network abstraction that allow the integration of heterogeneous data plane technologies into a singular network while maintaining total transparency between control and data plane. Finally, we investigate a full, complex system consisting of multiple software-based solutions and perform a detailed performance analysis. We employ simulative approaches to investigate overload control mechanisms that allow efficient operation under adversary conditions. The contributions of this work build the foundation for future research in the areas of network softwarization and network function virtualization.

Telefon	(0931) 31-83134
Telefax	(0931) 31-86632
E-Mail	stefan.geissler@informatik.uni-wuerzburg.de
Raum	A209
Anschrift	Lehrstuhl für Informatik III Am Hubland D-97074 Würzburg

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