2019
DOI: 10.1016/j.osn.2018.01.004
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Non-full-available queueing model of an EON node

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Cited by 21 publications
(11 citation statements)
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“…The model is characterized by high accuracy for a large number of systems and mechanisms used in practice, e.g. systems with multi-rate traffic [26], [27], non-full-availability systems [25], [31], limited-availability systems [29], [32], systems with different types of traffic streams [30], [33], [34], systems with threshold mechanisms [28], [35]- [37] and overflow systems [38]- [41]. The parameter σ i (n) expresses the influence of state dependence on the intensity of call streams between the neighboring states in the Markov process, i.e.…”
Section: Occupancy Distributionmentioning
confidence: 99%
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“…The model is characterized by high accuracy for a large number of systems and mechanisms used in practice, e.g. systems with multi-rate traffic [26], [27], non-full-availability systems [25], [31], limited-availability systems [29], [32], systems with different types of traffic streams [30], [33], [34], systems with threshold mechanisms [28], [35]- [37] and overflow systems [38]- [41]. The parameter σ i (n) expresses the influence of state dependence on the intensity of call streams between the neighboring states in the Markov process, i.e.…”
Section: Occupancy Distributionmentioning
confidence: 99%
“…[23], [24]. The first attempt to take into consideration the limitations in the occupation of frequency slots was undertaken in [25] and [20]. The aforementioned works apply the concept of virtual resources that define the possibility of setting up connections in a number of adjacent FSUs of the connection path in an EON.…”
Section: Introduction and Related Workmentioning
confidence: 99%
“…Typically, the most convenient models for the analytical modeling of traffic characteristics of multi-service networks with traffic overflow are the so-called multi-rate models. The basic multi-rate models were initially developed for wired systems (networks) with integrated (multi-rate) services-ISDN (Integrated Services Digital Network) and B-ISDN (Broadband ISDN) [46][47][48][49]. Currently, they are also used to model wireless multi-service telecommunications systems [50][51][52].…”
Section: Related Workmentioning
confidence: 99%
“…Note that the average value of traffic serviced by a single FSU in a real inter-stage link is also the occupancy probability of this FSU. This means that the occupancy probability of an FSU in a virtual link, is the result of the occupancy of an FSU in at least one of the real component links, can be interpreted as the average traffic y vir serviced by an FSU of a virtual link [57]:…”
Section: A Modeling Of Inter-stage Links In Optical Switching Networkmentioning
confidence: 99%