Assessment of QOS indicators of a network with UDP and TCP traffic under a node peak load mode

P. Pustovoitov, Vitalii Voronets, Oleksandr Voronets, Halyna Sokol, Maksym Okhrymenko
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Abstract

The object of research is Markov models of network nodes with UDP (User Datagram Protocol) and TCP (Transmission Control Protocol) traffic and their differences. The task solved is the lack of Markov models of network nodes describing the behavior of TCP traffic from the point of view of packet retransmissions and packet delivery guarantees. Markov models of network nodes describing traffic behavior with guaranteed packet delivery have been further advanced. Given the comparison of the models, the differences from the classic models serving TCP traffic were shown, for each packet flow, an additional dimensionally was added to the graph of states and transitions, which takes into account the retransmission of a lost packet. The comparison graph shows similar behavior of queue length and packet loss for both types of traffic. But the nature of the curves is different. With TCP traffic, packet loss can exceed 5 percent. In addition, lost packets must be retransmitted, which increases the load on the network node. More failures and packet queue lengths at a network node during peak load typically occur with TCP traffic compared to UDP traffic. At peak load, the difference in service failures can reach 20–30 percent. The main reason is that TCP uses flow control and rate-limiting mechanisms to avoid network congestion and ensure efficient data transfer between nodes. The Markov model of TCP traffic requires an additional dimensionally on the graph of states and transitions, which affects the behavior of queues and packet failures. The investigated problem was solved due to the universality and diversity of the mathematical apparatus of Markov mass service systems. The results could be used in network modeling software products for building and reengineering the topology of electronic communications networks at enterprises and organizations
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评估节点峰值负载模式下 UDP 和 TCP 流量网络的 QOS 指标
研究对象是具有 UDP(用户数据报协议)和 TCP(传输控制协议)流量的网络节点马尔可夫模型及其差异。所解决的问题是缺乏从数据包重传和数据包交付保证的角度描述 TCP 流量行为的网络节点马尔可夫模型。通过对模型的比较,可以看出与服务于 TCP 流量的经典模型的不同之处,对于每个数据包流,都在状态和转换图中增加了一个额外的维度,其中考虑到了丢失数据包的重传。对比图显示,两种流量的队列长度和数据包丢失情况相似。但曲线的性质不同。对于 TCP 流量,数据包丢失率可能超过 5%。此外,丢失的数据包必须重新传输,这就增加了网络节点的负载。与 UDP 流量相比,TCP 流量在峰值负载期间通常会出现更多故障,网络节点上的数据包队列长度也更长。在峰值负载时,服务故障率的差异可达 20%-30%。主要原因是 TCP 使用流量控制和速率限制机制来避免网络拥塞,并确保节点之间的高效数据传输。TCP 流量的马尔可夫模型要求在状态和转换图上增加一个维度,这影响了队列和数据包故障的行为。
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来源期刊
Eastern-European Journal of Enterprise Technologies
Eastern-European Journal of Enterprise Technologies Mathematics-Applied Mathematics
CiteScore
2.00
自引率
0.00%
发文量
369
审稿时长
6 weeks
期刊介绍: Terminology used in the title of the "East European Journal of Enterprise Technologies" - "enterprise technologies" should be read as "industrial technologies". "Eastern-European Journal of Enterprise Technologies" publishes all those best ideas from the science, which can be introduced in the industry. Since, obtaining the high-quality, competitive industrial products is based on introducing high technologies from various independent spheres of scientific researches, but united by a common end result - a finished high-technology product. Among these scientific spheres, there are engineering, power engineering and energy saving, technologies of inorganic and organic substances and materials science, information technologies and control systems. Publishing scientific papers in these directions are the main development "vectors" of the "Eastern-European Journal of Enterprise Technologies". Since, these are those directions of scientific researches, the results of which can be directly used in modern industrial production: space and aircraft industry, instrument-making industry, mechanical engineering, power engineering, chemical industry and metallurgy.
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