Investigation of Load-Balancing Fast ReRouting Model with Providing Fair Priority-Based Traffic Policing

Lemeshko, Oleksandr; Yevdokymenko, Maryna; Yeremenko, Oleksandra; Shapovalova, Anastasiia

doi:10.1007/978-3-030-55506-1_10

Cited by 2 publications

(9 citation statements)

References 30 publications

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“…While a significant number of solutions found their field of use in wireless networks [4,6,19,20,23], Internet of Things technology [18,24,28], smart cities [8,18,23], edge, and fog computing [8,19,28]. Particularly noteworthy are the developments of complex (joint) solutions for TE-based load balancing problems and ensuring network fault tolerance [8,17,21,22].…”

Section: Related Research Analysismentioning

confidence: 99%

“…We describe the network model and its structural and functional parameters according to the notations introduced in [21,22], and the new ones used in the current research. The primary notations used in the models are presented in Table 2.…”

Section: Basic Model Of Traffic Engineering Routing and Limitingmentioning

confidence: 99%

“…For example, routing protocols (OSPF-TE, IS-IS-TE), signaling, and resource reservation, as well as RSVP-TE, modified for traffic engineering requirements, have found their use in MPLS networks [2]. Great attention is also being paid to the development of TE solutions by scientists working on optimizing network solutions [10][11][12][13][14][15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…The desired effect is possible using unified optimization mathematical models that describe the relation of such critical network processes. Specific solutions in this direction were proposed in studies [21,22] and modified, for example, under the problem of fault-tolerant routing. However, already-known mathematical models need further improvement to increase the adaptability of load balancing solutions to changes in the network state, flow parameters, requirements for the level of differentiated quality of service, etc.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Solving Load Balancing Problems in Routing and Limiting Traffic at the Network Edge

Barkalov,

Lemeshko,

Yeremenko

et al. 2023

Applied Sciences

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This study focuses on creating and investigating models that optimize load balancing in communication networks by managing routing and traffic limitations. The purpose is to use these models to optimize the network’s routing and traffic limitations while ensuring predictable quality of service levels, and adhering to traffic engineering requirements for routing and limiting traffic at the network edge. In order to achieve this aim, a mathematical optimization model was developed based on a chosen optimality criterion. Two modifications of the traffic engineering routing were created, including the linear limitation model (TER-LLM) and traffic engineering limitation (TER-TEL), each considering the main features of packet flow: intensity and priority. The proposed solutions were compared by analyzing various data inputs, including the ratio of flow parameters and the intensity with which packets will be limited at the border router. The study presents recommendations on the optimal use of the proposed solutions based on their respective features and advantages.

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Section: Related Research Analysismentioning

confidence: 99%

Section: Basic Model Of Traffic Engineering Routing and Limitingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Solving Load Balancing Problems in Routing and Limiting Traffic at the Network Edge

Barkalov,

Lemeshko,

Yeremenko

et al. 2023

Applied Sciences

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“…A common feature of the vast majority of promising theoretical solutions to QoS routing problems is their formulation in optimization form [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 31 , 33 , 35 , 36 , 37 , 38 , 39 , 40 ], which helps increase the efficiency of using a valuable network resource for the practical implementation of these solutions. Depending on the aspect and detail of the consideration of the routing task and the completeness of external and internal factors concerning the network, optimization problems can belong to a variety of classes and types.…”

Section: Related Research Analysismentioning

confidence: 99%

Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks

Lemeshko

Papán

Yeremenko

et al. 2021

Sensors

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In the article, we present the research and development of an improved delay-sensitive routing tensor model for the core of the IoT network. The flow-based tensor model is considered within the coordinate system of interpolar paths and internal node pairs. The advantage of the presented model is the application for IoT architectures to ensure the Quality of Service under the parameters of bandwidth, average end-to-end delay, and the probability of packet loss. Hence, the technical task of delay-sensitive routing is formulated as the optimization problem together with constraints and conditions imposed on the corresponding routing variables. The system of optimality criteria is chosen for an investigation. Each selected criterion concerning the specifics of the demanded routing problem solution aims at the optimal use of available network resources and the improvement of QoS indicators, namely, average end-to-end delay. The analysis of the obtained routing solutions under different criteria is performed. Numerical research of the improved delay-sensitive routing tensor model allowed us to discover its features and proved the adequacy of the results for the multipath order of routing.

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Investigation of Load-Balancing Fast ReRouting Model with Providing Fair Priority-Based Traffic Policing

Cited by 2 publications

References 30 publications

Solving Load Balancing Problems in Routing and Limiting Traffic at the Network Edge

Solving Load Balancing Problems in Routing and Limiting Traffic at the Network Edge

Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks

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