%0 Thesis %1 info3-dissertation-2022-1 %A Geißler, Stefan %D 2022 %K myown 5cale sendate-planets can ngn %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.

@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.}, added-at = {2022-05-04T09:24:54.000+0200}, author = {Geißler, Stefan}, biburl = {https://www.bibsonomy.org/bibtex/206f3a63619332dab1fad5fddb86e015f/uniwue_info3}, interhash = {2ef04e164c82ac3e5df2c56bd56e0389}, intrahash = {06f3a63619332dab1fad5fddb86e015f}, keywords = {myown 5cale sendate-planets can ngn}, month = {4}, school = {University of Würzburg}, timestamp = {2022-05-04T09:24:54.000+0200}, title = {Performance Evaluation of Next-Generation Data Plane Architectures and their Components}, year = 2022 }