SDN-enabled Application-aware Network Control Architectures and their Performance Assessment (SDN App-Aware)
|Partner||DFG - Deutsche Forschungsgemeinschaft |
Technical University of Munich
|Funded period||January 2017 - December 2019|
|External Researcher||Andreas Blenk (TUM) |
Christian Sieber (TUM)
The project targets the development of fundamental control mechanisms for network-aware application control and application-aware network control for Software Defined Networks (SDN) in order to enhance the user perceived quality (QoE). The idea is to leverage the QoE from multiple applications as control input parameter for application control and network control mechanisms. These mechanisms are implemented by an Application Control Plane (ACP) and a Network Control Plane (NCP). In order to obtain a global view, applications and network parameters are monitored and communicated to the respective control plane interface. Network/application information and demands are exchanged between the control planes in order to derive appropriate control actions.
The main objectives cover:
- Design of an (network-aware) application control plane that optimizes the overall QoE for multi-application scenarios.
- Design of an application-aware SDN control plane.
- Evaluation of a joint application and network control plane.
Deriving QoE in systems: from fundamental relationships to a QoE‑based Service‑level Quality Index in Springer Quality and User Experience (2020). 5(7) https://rdcu.be/b483m.
A Survey of Emerging Concepts and Challenges for QoE Management of Multimedia Services in ACM Transactions on Multimedia Computing, Communications and Applications (2018).
A Generic Approach to Video Buffer Modeling using Discrete-Time Analysis in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) (2018). 14(33) 23.
Big-Data Helps SDN to Improve Application Specific Quality of Service in Big Data and Software Defined Networks (2018).
User Behavior and Engagement of a Mobile Video Streaming User from Crowdsourced Measurements in 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX) (2019).
Energy-Efficient Adaptation Logic for HTTP Streaming in Mobile Networks in 2019 International Conference on Networked Systems (NetSys) (2019).
Computing QoE-relevant Adaptive Video Streaming Metrics using Discrete-Time Analysis in Third International Workshop on Quality of Experience Management 2019 (2019).
Evaluation of the Benefits of Variable Segment Durations for Adaptive Streaming in The 2nd International Workshop on Quality of Experience Management (2018).
Practical QoE Evaluation of Adaptive Video Streaming in Proceedings of the 19th International Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB) (2018).
Saving Bandwidth by Limiting the Buffer Size in HTTP Adaptive Streaming in MMBnet 2017 Proceedings of the 9th GI/ITG Workshop (2017).