%0 Conference Paper %1 hel21ITC33 %A Helm, Max %A Stubbe, Henning %A Scholz, Dominik %A Jaeger, Benedikt %A Gallenmüller, Sebastian %A Deric, Nemanja %A Goshi, Endri %A Harkous, Hasanin %A Zhou, Zikai %A Kellerer, Wolfgang %A Carle, Georg %B 2021 33rd International Teletraffic Congress (ITC-33) %C Avignon, France %D 2021 %K Bandwidth Measurement_uncertainty Medical_services Modeling Network_Calculus OpenFlow P4 Performance_evaluation Performance_measurements Predictive_models SDN Switches Tools itc itc33 %P 1-9 %T Application of Network Calculus Models on Programmable Device Behavior %U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc33/hel21ITC33.pdf?inline=true %X Critical applications, such as industrial control systems or remote medical applications, require highly reliable networks. A key enabler of such applications are networks that deliver the required strict performance guarantees. A prominent tool for deriving such guarantees for networks and the involved components is network calculus (NC). Device specifics may have a stark influence on model characteristics, making modeling in heterogeneous environments work-intensive. OpenFlow and P4 are two approaches that emerged from the Software-Defined Networking (SDN) community making networks more flexible and, consequentially, even harder to model.In this work, we demonstrate a novel approach that uses NC to model such SDN-based devices despite their increased complexity. Abstracting away from overall device behavior, we initially model only the fundamental building blocks of SDN devices that define network device behavior. NC provides a framework to compose different NC models into a single model, which we use to combine the building blocks into a model that describes a network device program built from these building blocks. This approach allows for modeling a maximal number of devices with a minimal amount of measurements. We apply our approach to two different SDN devices, the Zodiac FX and the NetFPGA SUME. A comparison between the prediction of our composed models and real measurements reveals a prediction error below 1 %, thereby proving the validity of our approach.

@inproceedings{hel21ITC33, abstract = {Critical applications, such as industrial control systems or remote medical applications, require highly reliable networks. A key enabler of such applications are networks that deliver the required strict performance guarantees. A prominent tool for deriving such guarantees for networks and the involved components is network calculus (NC). Device specifics may have a stark influence on model characteristics, making modeling in heterogeneous environments work-intensive. OpenFlow and P4 are two approaches that emerged from the Software-Defined Networking (SDN) community making networks more flexible and, consequentially, even harder to model.In this work, we demonstrate a novel approach that uses NC to model such SDN-based devices despite their increased complexity. Abstracting away from overall device behavior, we initially model only the fundamental building blocks of SDN devices that define network device behavior. NC provides a framework to compose different NC models into a single model, which we use to combine the building blocks into a model that describes a network device program built from these building blocks. This approach allows for modeling a maximal number of devices with a minimal amount of measurements. We apply our approach to two different SDN devices, the Zodiac FX and the NetFPGA SUME. A comparison between the prediction of our composed models and real measurements reveals a prediction error below 1 %, thereby proving the validity of our approach.}, added-at = {2022-02-04T14:01:50.000+0100}, address = {Avignon, France}, author = {Helm, Max and Stubbe, Henning and Scholz, Dominik and Jaeger, Benedikt and Gallenmüller, Sebastian and Deric, Nemanja and Goshi, Endri and Harkous, Hasanin and Zhou, Zikai and Kellerer, Wolfgang and Carle, Georg}, biburl = {https://www.bibsonomy.org/bibtex/2c82a72ba44d44506b883de6f5292819d/itc}, booktitle = {2021 33rd International Teletraffic Congress (ITC-33)}, interhash = {6750c38b0b2c40f86bd83a207a48841a}, intrahash = {c82a72ba44d44506b883de6f5292819d}, keywords = {Bandwidth Measurement_uncertainty Medical_services Modeling Network_Calculus OpenFlow P4 Performance_evaluation Performance_measurements Predictive_models SDN Switches Tools itc itc33}, month = Aug, pages = {1-9}, timestamp = {2022-02-04T14:01:50.000+0100}, title = {Application of Network Calculus Models on Programmable Device Behavior}, url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc33/hel21ITC33.pdf?inline=true}, year = 2021 }