Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks

Sheng Zhu,Yehua Wei,Yong Lu,Zhen Sun,Lianming Zhang,Geyong Min

doi:10.1109/access.2019.2943518

Sheng Zhu, Yehua Wei + Show 4 more

Open Access

https://doi.org/10.1109/access.2019.2943518

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Journal: IEEE Access	Publication Date: Jan 1, 2019
Citations: 48	License type: CC BY 4.0

Affiliation: Hunan Normal University, University of Exeter

Abstract

Streaming media transmission requires strict quality of service (QoS) parameters such as maximum delay and delay jitter. An effective streaming media routing algorithm is a key factor in ensuring QoS. The existing solution only considers a single parameter indicator in the performance parameters such as bandwidth, delay, and utilization of the link, and fails to comprehensively measure the data flow in the network. It is not possible to comprehensively measure the relationship between the business attributes and the QoS parameters. Firstly, the deterministic upper bounds of QoS parameters in streaming media networks are solved by using network calculus theory, and the QoS parameters are normalized, and a multi-constrained QoS resource allocation model is established; the separation of control and forwarding planes is defined by using software-defined networking (SDN) to deploy the multi-constrained QoS resource allocation model in the control plane; the QoS routing system of streaming media network based on the SDN is designed and implemented, including flow table scheduling model, routing function, measurement and forwarding modules. In the routing function module of the SDN controller, a multi-constrained QoS routing algorithm based on network calculus is implemented. Experimental results show that the proposed multi-constrained QoS resource allocation model based on network calculus and the multi-constrained centralized QoS routing algorithm based on the SDN have good performance.

Highlights

We propose a deterministic multi-constrained quality of service (QoS) resource allocation model based on network calculus
We extended the basic functions of the controller and built a deterministic multiconstrained centralized QoS routing (DMCQR) system based on software-defined streaming media network, including flow table scheduling model, functions in the routing system, measurement and forwarding modules, and DMCQR
In this paper, we investigated a framework of the QoS of streaming media, which can provide accurate QoS guarantee and fast routing

Summary

MOTIVATION

QOS OF STREAMING MEDIA As the household use and penetration rates have increased, Over-The-Top (OTT) video streaming has become a mainstream behavior [1]. The streaming service OTT report 2018 released by ComScore, a global Internet information service provider in the United States [2], shows that the market of OTT is taking a stable growth trend; OTT devices are had by about 59.5 million homes in the United States It grew by 17% a year, accounting for two-thirds of all internet-connected homes. The solution of IP-based streaming media mentioned above has a large amount of work to maintain and lacks flexible control functions and extension mechanism, which makes it difficult to meet the requirements of QoS, such as maximum delay and delay jitter of rapidly increasing streaming media data [3], [4]

BASICS

QOS MODEL FOR SINGLE NODE

END-TO-END DELAY MODEL

MULTI-CONSTRAINED QOS RESOURCE ALLOCATION MODEL

DMCQR ALGORITHM

Findings

CONCLUSION