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Approximate Method for Estimating Characteristics of Joint Service of Real-Time Traffic and Elastic Data Traffic in Multiservice Access Nodes.

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Title: Approximate Method for Estimating Characteristics of Joint Service of Real-Time Traffic and Elastic Data Traffic in Multiservice Access Nodes.
Authors: Stepanov, S. N.1 (AUTHOR) s.n.stepanov@mtuci.ru, Stepanov, M. S.1 (AUTHOR) m.s.stepanov@mtuci.ru
Source: Automation & Remote Control. Nov2023, Vol. 84 Issue 11, p1191-1207. 17p.
Subjects: Computer network traffic, Statistical equilibrium, Traffic flow, Problem solving, Information services
Abstract: A mathematical model of joint servicing of priority real-time traffic and elastic data traffic in multiservice access nodes has been constructed and studied. Definitions of quality indicators for joint servicing of incoming requests for information services are provided. A system of statistical equilibrium equations is formed and its use for calculating the exact values of the introduced characteristics is considered. A method for approximate calculation of characteristics is proposed, based on the construction of a system of simplified equilibrium equations. It has been established that the obtained estimates of customer service indicators are asymptotically accurate in the region of large and small losses. The use of the developed method is shown to solve the problem of estimating the volume of traffic offloaded in an overload situation to other access nodes or to other frequency ranges in order to achieve values of specified QoS indicators and to solve the problem of planning the volume of required transmission resource of a multiservice access node. [ABSTRACT FROM AUTHOR]
Copyright of Automation & Remote Control is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Automation+%26+Remote+Control%22">Automation & Remote Control</searchLink>. Nov2023, Vol. 84 Issue 11, p1191-1207. 17p.
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  Data: A mathematical model of joint servicing of priority real-time traffic and elastic data traffic in multiservice access nodes has been constructed and studied. Definitions of quality indicators for joint servicing of incoming requests for information services are provided. A system of statistical equilibrium equations is formed and its use for calculating the exact values of the introduced characteristics is considered. A method for approximate calculation of characteristics is proposed, based on the construction of a system of simplified equilibrium equations. It has been established that the obtained estimates of customer service indicators are asymptotically accurate in the region of large and small losses. The use of the developed method is shown to solve the problem of estimating the volume of traffic offloaded in an overload situation to other access nodes or to other frequency ranges in order to achieve values of specified QoS indicators and to solve the problem of planning the volume of required transmission resource of a multiservice access node. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Automation & Remote Control is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Traffic flow
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              Text: Nov2023
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