Researching of mathematical models based on optimal control approaches for congestion control in telecommunication network

Lemeshko, Oleksandr; Semenyaka, M. V.

doi:10.1109/ewdts.2013.6673211

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…The analysis of known solutions [4,5,[10][11][12][13][14][15][16][17][18][19][20][21][22] has shown that the results of the solution of the Congestion Management problem are not related to the results of the Resource Allocation and Congestion Avoidance tasks. That is why, in order to reduce the computational complexity of the calculations of the optimization problems, their distributed solution was proposed within the framework of the two-step method ( fig.…”

Section: Discussionmentioning

confidence: 99%

“…Based on the results obtained in [11,12,15, 2022], a method for planning and active queue management on the interfaces of telecommunication network routers with the successive solution of overload control optimization tasks, the allocation of bandwidth of the interface and prevention of overload [12] is proposed. The analysis of known solutions for the joint solution of the Congestion Management, Resource Allocation and Congestion Avoidance problems presented in [21,22] demonstrated that the results of the solution to the overload management problem are not related to the results of the solution of the problem of the allocation of bandwidth of the interface and prevention tasks overload.…”

Section: Queuing Planning Model On Interfaces Of Telecommunication Romentioning

confidence: 99%

“…The disadvantage of this work is the lack of differentiation and fairness in serving traffic flows with different QoS requirements. [15,16,[20][21][22] presents mathematical models and queuing control methods that combine both queuing planning methods and active queuing methods. The main disadvantage of these models and methods is the high dimension of optimization tasks, which leads to an increase in the computational complexity of obtaining the desired solutions and complication of their subsequent algorithmic-software implementation.…”

Section: Introductionmentioning

confidence: 99%

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Method of Scheduling and Active Queues Management on Routers Interfaces of Telecommunication Networks

Lebedenko

2019

Innovative Technologies and Scientific Solutions for Industries

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The subject matter of the article is the method of scheduling and active queues management on routers interfaces of telecommunication networks. The goal of the work is to develop and improve the method related to the optimization of queues management processes on routers interfaces of telecommunication networks and aimed at improving the indicators of the quality of service. The article solves optimization problems of Congestion Management, Resource Allocation and Congestion Avoidance on routers interfaces of telecommunication networks in the framework of the two-stage calculation method. Research methods are based on the results of analytical calculations obtained in the course of using the Optimization Toolbox package of the Mat lab environment. Wherein in the course of improving the queue management method on routers interfaces of telecommunication networks, a mathematical programming apparatus was used, containing linear programming functions. The following results were obtainedthe improved method of scheduling and active queues management on routers interfaces of telecommunication networks with the coordinated, sequential and two-stage solution of such interface problems as Congestion Management, Resource Allocation, and Congestion Avoidance. Conclusions: using the proposed method of scheduling and active queue management had made to achieve an agreed solution to Congestion Management, Resource Allocation, and Congestion Avoidance problems. In the course of solving the optimization problem of Congestion Management, which was conditionally related to the first stage of calculations, it was possible to achieve optimal aggregation and allocation of packet flows over queues formed on the router interface based on the commensurability of their classes. In the course of solving the optimization problems of resource allocation, and congestion avoidance, which were conditionally related to the second stage of calculations, it was possible to achieve an optimal bandwidth allocation of the router interface between the queues formed on it, and minimize possible denials of service.

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