Evaluating the Packet Traffic Parameter Measurements

Goikhman, V. Yu.; Seilov, Shakhmaran; Соколов, Н А; Korganbayeva, L.

doi:10.1615/telecomradeng.v78.i6.30

Cited by 2 publications

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“…The subscript "U" (the first letter in the word "upper") indicates the fact that the ordinate values for the histograms a U1 (t) and a U2 (t) are calculated by summing them (within the time interval under consideration) to the nearest larger value of t/τ. This method of transforming the a(t) histogram, which is proposed for example in [10], is hereinafter referred to as option I. In the general case, the histograms describe asymmetric distributions of the form A(t).…”

Section: Handling Of the Function A(t)mentioning

confidence: 99%

Study of the Process of Packet Arrival at a Multiservice Node

et al. 2022

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The paper considers the main ways of describing the process that characterizes the arrival of packets to a multiservice node of a telecommunications network. The features of the process under consideration are best represented by the cumulative distribution function A(t). It determines the distribution of the interval size between the moments of arrival of neighboring packets to the multiservice node. These intervals are random values. If it is not possible to perform measurements that allow the choosing of the A(t) function, then the distribution law of random variables is selected based on reasonable assumptions. For telephone switching nodes, the Poisson flow hypothesis was used, which is often similar to the symmetric distribution of the number of calls at time interval t. The results of traffic measurements for multiservice switching nodes showed that the studied distribution is inherently asymmetric. This paper mainly considers the possibility of choosing the A(t) function based on the measurement results presented in a form of the histogram a(t), which contains a series of values. This histogram allows us to obtain the desired distribution as a stepwise function by integration of the a(t). Practical interest is associated with the possibility of reducing the number of readings used to assess the A(t) function. The methods used by some authors are based on the application of arbitrarily chosen functions A(t) with so-called heavy tails. The proposed approach is based on real distributions defined at a finite time interval. As a result of this research, a methodology has been developed to accurately describe the process of packet arrival at the input of the multiservice node. The proposed methodology is based on analytical methods. It guarantees error minimization when investigating the probabilistic characteristics of a switching node in a multiservice network.

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Section: Handling Of the Function A(t)mentioning

confidence: 99%

Study of the Process of Packet Arrival at a Multiservice Node

et al. 2022

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“…Standard methods of teletraffic models investigate with queues [48,49]. In conclusion, it is appropriate to formulate the influence of a network of digital twins on the chain "Data-Information-Knowledge-Wisdom" [50].…”

Section: Future Research Directionsmentioning

confidence: 99%

The Concept of Building a Network of Digital Twins to Increase the Efficiency of Complex Telecommunication Systems

et al. 2021

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The technical literature actively discusses ideas for creating digital twins to solve a wide range of problems that arise for enterprises of various kinds. Advances in the areas of information technology and the development of the necessary software really make it possible to obtain important new results through the creation of digital twins. This paper proposes the concept of building a network of digital twins, used to solve a number of actual problems in complex telecommunication systems. Two applications are considered examples of such tasks. The first application is the organization of information feedback for enterprises involved in the life cycle of a telecommunication network: “elaboration of modernization principles, development of equipment, design, construction, and operation.” The second application is monitoring traffic, including its atypical behavior, in order to avoid the recurrence of erroneous actions in case of emergency situations. Another important feature of the digital twin network is that it will become an effective tool for conducting interdisciplinary research.

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Evaluating the Packet Traffic Parameter Measurements

Cited by 2 publications

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Study of the Process of Packet Arrival at a Multiservice Node

Study of the Process of Packet Arrival at a Multiservice Node

The Concept of Building a Network of Digital Twins to Increase the Efficiency of Complex Telecommunication Systems

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