Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking

Beshley, Mykola; Veselý, Peter; Pryslupskyi, Andrii; Beshley, Halyna; Kyryk, Maryan; Romanchuk, Vasyl; Kahalo, Ihor

doi:10.3390/app10228223

Cited by 23 publications

(7 citation statements)

References 37 publications

(36 reference statements)

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“…In this light, Tang [64] proposed a model for predicting customer churn in the telecommunications industry, in order to allow mobile communication operators to maintain their competitiveness in the business market. One strategy for these telecom operators to maintain their clientele, for example, is to opt for intent-based systems [65] which are able to provide a good quality of experience.…”

Section: E Smart Economymentioning

confidence: 99%

Smart City Based on Open Data: A Survey

Adje,

Letaifa,

Haddad

et al. 2023

IEEE Access

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Open data are gold mines because they can be used to create services that develop a smart city while improving users' living conditions. Several research works go in this direction, presenting open data impact in the smart city for some, while others have focused on data processing methods. We have therefore deemed it necessary to make a state of the art on these different issues. The particularity of our study is that it shows the link between open data and smart city in all its aspects, describing what kind of open data is suitable for the smart city, how it is important for its development, and how these open data are processed to create services. Thus, in this article, we first present a review of existing surveys since 2015. Then, we present different smart city dimensions based on open data as well as some applications, and we detail how to process these data. We end with a list of open data sources as well as some challenges and solutions related to smart city services. INDEX TERMSData mining, machine learning (ML), open data, smart city. I. INTRODUCTIONA city is not only limited to physical urban spaces (e.g., places, and buildings) but also extends to systems, structures, networks, flows, and processes [1]. This is why Ahlers [2] defines a smart city as a livable, participative, and sustainable city. To develop such a city, open data produced by the different actors of the urban ecosystem play a crucial role [3], since their integration and valorization enable the development of high socio-economic impact services. The data are produced in a digital urban space that is composed of physical spaces (infrastructures, buildings, etc.), social spaces (government, population, organization, culture, etc.), and cyber spaces (internet data, communication data, etc.) [4]. The data are accessible through three main ways: official data portals (via the internet), big data initiatives (obtained explicitly or implicitly via crawling techniques), and the broader open data community [5]. However, not all open data are smart city-oriented. Prieto et al. [6] established 14 open data categories in the smart city to avoid ambiguity.The associate editor coordinating the review of this manuscript and approving it for publication was Sathish Kumar .

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Section: E Smart Economymentioning

confidence: 99%

Smart City Based on Open Data: A Survey

Adje,

Letaifa,

Haddad

et al. 2023

IEEE Access

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“…However, the paper does not provide solutions to the problem of resource management and network management under dynamic load conditions. In the article of the authors [16], a method for managing the quality of network service is proposed. For its implementation, an algorithm has been developed for routing data packets in a network, taking into account the current load of the predicted path, as well as an algorithm for the operation of a billing quality management system in telecommunications networks.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a mathematical model for assessing the quality of service on a packet switching subnet

Mukasheva,

Rakhmetullina,

Uvaliyeva

et al. 2023

EEJET

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Currently, data traffic is growing rapidly, and ensuring optimal network performance and effective data flow management have become the most important tasks. In this context, the quality of network service plays a crucial role in achieving these goals. This article suggests an approach to solving the problem of efficient service in ISDN. Namely, optimization of resource distribution between channel switching and packet switching subnets in ISDN to calculate optimal quality of service characteristics. In the process of ISDN design analysis, an optimization problem is compiled, where the evaluation of the packet-switched subnet service is used as an objective function, and the evaluation of the circuit-switched subnet service is used as one of the constraints for this task. To calculate the main characteristics of a packet-switched subnet, the subnet is considered as a service system with a delay. During the study, the methods of optimal movement of the generalized channel boundary between the subnets of channel switching and packet switching were identified, depending on the data parameters and the state of the integrated network, which made it possible to develop an optimal mathematical model of optimal control of the generalized boundary. To calculate the bandwidth for channel switching and packet switching subnets, an algorithm has been compiled to implement the resulting model and a program in C++ has been compiled. The study of the generalized boundary and the dynamic redistribution of bandwidth between subnets represents a new approach to network optimization. The results are based on the use of the classical Erlang formula for systems with service failures and on load distribution plans, which makes it possible to effectively manage the maintenance process in the network

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“…[57], [20], [21], [22], [23], [24], [25], [58] Compatibility and Capability Exposure → Conformance of user intents with the underlying network and intent infrastructure. → Exposure of network capability to users in order to provide required information for intent modeling.…”

Section: Intent Modelling and Nbimentioning

confidence: 99%

Intent-driven autonomous network and service management in future cellular networks: A structured literature review

Mehmood,

Kralevska,

Palma

2021

Preprint

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Intent driven networks are an essential stepping stone in the evolution of network and service management towards a truly autonomous paradigm. User centric intents provide an abstracted means of impacting the design, provisioning, deployment and assurance of network infrastructure and services with the help of service level agreements and minimum network capability exposure. The concept of Intent Based Networking (IBN) poses several challenges in terms of the contextual definition of intents, role of different stakeholders, and a generalized architecture. In this review, we provide a comprehensive analysis of the state-of-the-art in IBN including the intent description models, intent lifecycle management, significance of IBN and a generalized architectural framework along with challenges and prospects for IBN in future networks. An analytical study is performed on the data collected from relevant studies primarily focusing on the inter-working of IBN with softwarized networking based on NFV/SDN infrastructures. Critical functions required in the IBN management and service model design are explored with different abstract modeling techniques and a converged architectural framework is proposed. The key findings include: 1) benefits and role of IBN in autonomous networking, 2) improvements needed to integrate intents as fundamental policies for service modeling and network management, 3) need for appropriate representation models for intents in domain agnostic abstract manner, and 4) need to include learning as a fundamental function in autonomous networks. These observations provide the basis for in-depth investigation and standardization efforts for IBN as a fundamental network management paradigm in beyond 5G networks.

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Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking

Cited by 23 publications

References 37 publications

Smart City Based on Open Data: A Survey

Smart City Based on Open Data: A Survey

Development of a mathematical model for assessing the quality of service on a packet switching subnet

Intent-driven autonomous network and service management in future cellular networks: A structured literature review

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