2019
DOI: 10.1109/access.2019.2943518
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Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks

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 a… Show more

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Cited by 23 publications
(18 citation statements)
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References 28 publications
(33 reference statements)
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“…In centralized model, a single central controller takes the overall decision of the network [43]. Being the single point of decision maker, the central controller globally monitors the network despite of its heterogeneous underlying network architecture.…”
Section: Centralized Modelmentioning
confidence: 99%
See 2 more Smart Citations
“…In centralized model, a single central controller takes the overall decision of the network [43]. Being the single point of decision maker, the central controller globally monitors the network despite of its heterogeneous underlying network architecture.…”
Section: Centralized Modelmentioning
confidence: 99%
“…Similarly, in [50], the discussed model comprises of two-layer control architecture. On the other hand, Maple [40], DMCQR [43] architecture follows centralized model.…”
Section: Hybrid Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The emergence of software-defined networking (SDN) [3][4][5][6][7][8][9] provides a new way to thoroughly solve this problem. Its main idea is to decouple the control function of the forwarding function of the network and hand over the control to the centralized controller.…”
Section: Background and Motivationmentioning
confidence: 99%
“…According to the characteristic of subgraphs, the multi-graphs are expressed through vectors and then classify the models by the existing semi-supervised learning methods. And it is summarized as two multi-map feature subgraph measurement model with label and without label [29].…”
Section: Algorithm Frameworkmentioning
confidence: 99%