Statistical Processing and Quality of Service for Incoming Traffic in Markov Chains

Iliev, Mihail; Balabanova, Ivelina; Kostadinova, Stela; Georgiev, Georgi

doi:10.1109/eaeeie46886.2019.9000418

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Such checks typically entail approving the output of specific processes after comparing it to the desired result. Some events, such as a significant increase [7] in activity, may indicate attempts at unauthorized system access and/or fraud. Monitoring mechanisms that monitor such parameters report suspicious activities to the appropriate responsible parties, who decide whether the concerns are justified and what action should be taken.…”

Section: Automated Control Mechanismsmentioning

confidence: 99%

Digitalization of Educational Services with Regard to Policy for Information Security

Petrov¹,

Kuyumdzhiev²,

Malkawi³

et al. 2022

TEM Journal

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Faced with the widespread digitalization in educational services, every educational organization has to strive to meet modern-day quality and security standards for both information and other assets. The education organizations should invest in a methodology that identifies system flaws and, as a result, opportunities for improvement. To protect the educational organization's information assets from internal, external, intentional, or unintentional threats, an "Information Security Policy" should be developed. Effective data management necessitates not only the identification of data requirements but also security issues. Educators and students should be subject to policies that define and impose conditions in a variety of sensitive areas.

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Section: Automated Control Mechanismsmentioning

confidence: 99%

Digitalization of Educational Services with Regard to Policy for Information Security

Petrov¹,

Kuyumdzhiev²,

Malkawi³

et al. 2022

TEM Journal

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“…A graph G(V,E) can be used to represent the network topology, where V represents the set of vertices (network nodes) and Ethe set of edges (lines) [15][16][17]…”

Section: Routing Algorithms and Weight Functions For Multichannel Optical Networkmentioning

confidence: 99%

Modelling and Simulation Analysis of Routing Algorithms in Multichannel Optical Communication Networks

Angelov

Sadinov

2021

CIEES

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In this paper, it is considered the broadband backbone optical networks with wavelength routing and circuit switching used to build long-range wide area networks. In this type of network, if there is an available and acknowledged connection request, it is necessary to determine the optimal path between the optical communication nodes in the network. This also requires the assignment of an optimal set of wavelengths along the selected route between these nodes. This paper takes into account the multichannel optical communication networks with spectral multiplexing. Four different routing algorithms are modeled and analyzed for which their weight functions are determined to take into account various factors, such as the total distance of the individual routes, the total number of available wavelengths for a given route and how many of them are available for use. It is studied and compared the performance of the proposed algorithms in a multichannel optical network in terms of blocking probability.

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Service Function Chaining in NFV-Enabled Edge Networks with Natural Actor-Critic Deep Reinforcement Learning

Wang

et al. 2021

2021 IEEE/CIC International Conference on Communications in China (ICCC)

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Statistical Processing and Quality of Service for Incoming Traffic in Markov Chains

Cited by 3 publications

References 12 publications

Digitalization of Educational Services with Regard to Policy for Information Security

Digitalization of Educational Services with Regard to Policy for Information Security

Modelling and Simulation Analysis of Routing Algorithms in Multichannel Optical Communication Networks

Service Function Chaining in NFV-Enabled Edge Networks with Natural Actor-Critic Deep Reinforcement Learning

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