Chesoong Kim

Prof. Chesoong Kim

Sangji University
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2005 in Queueing Systems
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Journal Article
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VKValentina Klimenok
Valentina Klimenok
CKChesoong Kim
Chesoong Kim
DODmitry Orlovsky
Dmitry Orlovsky
Alexander DudinAlexander Dudin
Alexander Dudin

31 July 2010 in Computers & Operations Research
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Journal Article
Closed access
CKChesoong Kim
Chesoong Kim
VKValentina Klimenok
Valentina Klimenok
OTOlga Taramin
Olga Taramin

8 November 2012 in Annals of Operations Research
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Journal Article
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CKChesoong Kim
Chesoong Kim
VMVilena V. Mushko
Vilena V. Mushko
Alexander DudinAlexander Dudin
Alexander Dudin

1 October 2010 in Applied Mathematical Modelling
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Journal Article
Closed access
CKChesoong Kim
Chesoong Kim
SPSeog Ha Park
Seog Ha Park
Alexander DudinAlexander Dudin
Alexander Dudin
VKValentina Klimenok
Valentina Klimenok
GTGennady Tsarenkov
Gennady Tsarenkov

1 February 2007 in Performance Evaluation
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Journal Article
Closed access
CKChesoong Kim
Chesoong Kim
VKValentina Klimenok
Valentina Klimenok
GTGennadiy Tsarenkov
Gennadiy Tsarenkov
LBLothar Breuer
Lothar Breuer
Alexander DudinAlexander Dudin
Alexander Dudin

28 July 2021 in IEEE Access
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Journal Article
Open access
CKChesoong Kim
Chesoong Kim
Alexander DudinAlexander Dudin
Alexander Dudin
SDSergei Dudin
Sergei Dudin
DODudina Olga
Dudina Olga
A model of a cell of a communication network, divided into zones, with the dependence of the users' service time on the zone, in which they are located, is considered. The arrival flow of users is defined by a marked Markovian process. The number of users that can receive service in a cell simultaneously is finite. If the number of users reached the limit, then new users are lost, except the users that come to the cell already during the service (handover users). For the short-term storage of such users, there is a buffer of a finite capacity. Cell operation is modeled by a multi-server queueing system. The behavior of this system is described by a multi-dimensional Markov chain. The algorithms for calculating the stationary distribution of this chain and the main characteristics of the quality of service have been developed.