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001-es BibID:	BIBFORM075199
Első szerző:	Melikov, Agassi (mathematician)
Cím:	Queuing management with feedback in cloud computing centers with large numbers of web servers / A. Z. Melikov, A. M. Rustamov, J. Sztrik
Dátum:	2018
ISSN:	1865-0929
Megjegyzések:	The objective of the paper is to analyzed QoS metric of cloud computing with large-scale of web server from queue management perspective. We propose a new method in order to effectively calculate the steady-state probabilities of cloud system with a large number of web servers. Numerical results showed that the proposed algorithms have higher accuracy and negligible computation time. Taking into account that in the cloud computing repair of server is taking some hours and response time is handling within some seconds, we can correctly apply space-merging algorithm.
ISBN:	978-3-319-99446-8
Tárgyszavak:	Műszaki tudományok Informatikai tudományok tanulmány, értekezés Queuing system Cloud computing Cloud technology
Megjelenés:	Distributed Computer and Communication Networks / ed. Vladimir M. Vishnevskiy, Dmitry V. Kozyrev. - p. 106-119. -
További szerzők:	Rustamov, Anar Sztrik János (1953-) (informatikus, matematikus)
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat Szerző által megadott URL
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001-es BibID:	BIBFORM066496
035-os BibID:	(Scopus)85006970894
Első szerző:	Melikov, Agassi (mathematician)
Cím:	Methods to analysis of queueing models with state-dependent jump priorities / Agassi Melikov, Anar Rustamov, Turan Jafarzade, János Sztrik
Dátum:	2016
ISSN:	1787-5021 1787-6117
Megjegyzések:	In this paper, exact and approximate approaches for studying queuing models with state-dependent jump priorities are developed. Both models with finite separate buffers and finite common buffer for heterogeneous calls are investigated. It is shown that both models might be described by twodimensional Markov Chains (2-D MC). Exact approach based on solution of appropriate system of balance equations (SBE) for state probabilities faced with big computational challenges for large scale models. To overcome the indicated difficulties an approximate approach based on the state space merging algorithms is developed. This approach allows to construct simple algorithms to calculate the Quality of Service (QoS) metrics of the examined models. The results of numerical experiments are demonstrated.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk queuing models jump priority Markov chains space merging numerical analysis
Megjelenés:	Annales Mathematicae et Informaticae. - 46 (2016), p. 143-163. -
További szerzők:	Rustamov, Anar Jafarzade, Turan I. Sztrik János (1953-) (informatikus, matematikus)
Pályázati támogatás:	TÁMOP-4.2.2.C-11/1/KONV-2012-0001 TÁMOP
Internet cím:	Szerző által megadott URL Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM065279
Első szerző:	Melikov, Agassi (mathematician)
Cím:	Hierarchical space merging algorithm for analysis of two stage queueing network with feedback / Agassi Melikov, Leonid Ponomarenko, Anar Rustamov, Janos Sztrik
Dátum:	2016
ISSN:	1865-0929
Megjegyzések:	A Markov model of two stage queuing network with feedback is proposed. Poisson flows arriving to both stages from outside and part of already serviced calls in the first node instantaneously enter to the second node (if there is free space here) while the remaining part leaves the network. At the completion of call processing in the second node there are three possibilities: (1) it leaves the network; (2) it instantaneously feeds back to the first node (if there is free space here); (3) it feeds back to the first node after some delay in orbit. All feedbacks are determined by known probabilities. Both nodes have finite capacities. The mathematical model of the investigated network is a three dimensional Markov chain (3-D MC) and hierarchical space merging algorithm to calculate its steady-state probabilities is developed. This algorithm allows asymptotic analysis of the quality of service (QoS) metrics of the investigated network as well.
ISBN:	978-3-319-44614-1 (print) 978-3-319-44615-8 (online)
Tárgyszavak:	Műszaki tudományok Informatikai tudományok könyvfejezet two stage queueing network instantaneous and delayed feedback three-dimensional Markov chain space merging algorithm
Megjelenés:	Information Technologies and Mathematical Modelling - Queueing Theory and Applications : 15th International Scientific Conference, ITMM 2016, named after A.F. Terpugov, Katun, Russia, September 12-16, 2016. Proceedings / Eds. Alexander Dudin, Alexander Gortsev, Anatoly Nazarov, Rafael Yakupov. - p. 238-249. -
További szerzők:	Ponomarenko, Leonid Rustamov, Anar Sztrik János (1953-) (informatikus, matematikus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM061919
Első szerző:	Melikov, Agassi (mathematician)
Cím:	Analysis of queueing models with state-dependent jump priorities / A. Z. Melikov, A. M. Rustamov, T. I. Jafarzade, J. Sztrik
Dátum:	2015
Megjegyzések:	In this paper, exact and approximate approaches for studying queuing models with state-dependent jump priorities are developed. Models with finite separate bu?ers for heterogeneous calls are investigated. It is shown that the investigated models might be described by twodimensional Markov Chains. One of the main challenge in exact approach for the solution of appropriate system of balance equations for state probabilities becomes big computation for large scale models. To overcome the indicated di"culties an approximate approach based on the state space merging algorithms is developed. This approach allows constructing simple algorithms to calculate the quality of service metrics of the examined models.
ISBN:	978-5-91450-170-6
Tárgyszavak:	Műszaki tudományok Informatikai tudományok tanulmány, értekezés queuing models jump priority Markov chains space merging numerical analysis
Megjelenés:	Distributed computer and communication networks : control, computation, communications (DCCN-2015) : Proceedings of the eighteenth international scientific conference (19-22 October 2015, Moscow, Russia) / ed. V. M. Višnevskij. - p. 279-286. -
További szerzők:	Rustamov, Anar Jafarzade, Turan I. Sztrik János (1953-) (informatikus, matematikus)
Pályázati támogatás:	TÁMOP-4.2.2.C-11/1/KONV-2012-0001 TÁMOP
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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