Abstract
For the purpose of resolving the phenomenon of network congestion in the process of many-to-one communication in multimedia networks at present, the optimal fitting method of nonlinear simultaneous equations (OFMNSEs) is applied to the multimedia transmission congestion control system in this paper. The rate control and resource scheduling are effectively combined, and a clustering network structure is used to activate the congestion control method in turn based on the cluster header and intracluster-related indexes. Finally, it can be known through the analysis of the simulation results that the OFMNSE algorithm put forward in this paper can improve the congestion issue of the multimedia network transmission process and reduce the packet loss rate of data during the transmission effectively under the condition of different relative cache sizes compared with the conventional algorithm.
Highlights
With the rapid development of science and technology and computer network, data information is exchanged more frequently [1, 2]
Data transmission congestion can lead to the reduction of quality of service indicators such as transmission delay and throughput, data loss and delay, and lead to the collapse of the network, which seriously affects the utilization of other resources such as bandwidth and cache [6, 7]. erefore, in order to make full use of the available network resources and provide a certain guarantee for the quality of service, the problem of service congestion is an important topic of computer network transmission in the future
Aiming at the phenomenon of network congestion in the process of many to one communication in the nonlinear simultaneous equation, this paper proposes a multimedia structure tensor image model and uses it in the congestion control of Internet traffic, which can effectively solve the problem of network transmission delay and can adjust the relevant parameters of the controller according to the change of network load, ensuring the stability of the control system, so as to effectively avoid congestion
Summary
With the rapid development of science and technology and computer network, data information is exchanged more frequently [1, 2]. Users put forward higher standards for network transmission speed, transmission capacity, and service quality. In this kind of network data transmission, the service data flow has certain burst and fluctuation in the transmission process, and the network traffic transmission parameters are constantly changing [3, 4]. Aiming at the phenomenon of network congestion in the process of many to one communication in the nonlinear simultaneous equation, this paper proposes a multimedia structure tensor image model and uses it in the congestion control of Internet traffic, which can effectively solve the problem of network transmission delay and can adjust the relevant parameters of the controller according to the change of network load, ensuring the stability of the control system, so as to effectively avoid congestion
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