A. N. Abbou, T. Taleb and J. Song, "Towards SDN-based Deterministic Networking: Deterministic E2E Delay Case," 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 2021, pp. 1-6, doi: 10.1109/GLOBECOM46510.2021.9685656
Towards SDN-based deterministic networking : deterministic E2E delay case
|Author:||Abbou, Aiman Nait1; Taleb, Tarik1,2; Song, JaeSeung3|
1Aalto University, Espoo, Finland
2Oulu University, Oulu, Finland
3Sejong University, Seoul, South Korea
|Online Access:||PDF Full Text (PDF, 1.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023051143512
|Publish Date:|| 2023-05-11
The explosion of the number of things connected to the Internet gave birth to a new set of services. Customers now are expecting next-generation networks to satisfy vertical applications with different requirements. For instance, 5G networks can carry these various demands by logically dividing the physical network into multiple slices, each slice features specific characteristics based on the type of service. Software-Defined Network (SDN) and Network Function Virtualization (NFV) introduced the term “Network Softwarization” which is the main enabler of network slicing and 5G networks. Specifically, SDN separates the control plane from the data plane, this concept brings many benefits such as dynamism, flexibility, and innovation. However, when it comes to the assurance of Quality of Service (QoS), SDN is still behind. Not only SDN was not optimized for real-time communications, but also SDN networks cannot offer a deterministic End-to-End (E2E) delay. In this paper, we study OpenFlow-based communications with a focus on the delay. The modeling of queuing delays shows a stable linear development of the mean waiting time under a probability of 0.2 that 10 switches generate packet_in message. After that, the increase becomes exponential and thus hard to predict.
2021 IEEE Global Communications Conference (GLOBECOM)
IEEE Global Communications Conference
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was partially supported by the European Unions Horizon 2020 Research and Innovation Program through the MonB5G Project under Grant No. 871780. It was also supported in part by the Academy of Finland 6Genesis project under Grant No. 318927 and IDEA-MILL with grant number 33593. Prof. Song was supported by the Institute of Information communications Technology Planning Evaluation (IITP) grant funded by the Korea government (MSIT) (Grant No.2021-0-00188 and IITP-2021-0-01816).
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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