Modelling of network nodes with threshold mechanisms and multi-service sources

Głąbowski, Mariusz; Sobieraj, Maciej

doi:10.1109/netwks.2014.6959224

Cited by 6 publications

(11 citation statements)

References 23 publications

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“…terminals related to only one type of service. Relevant investigations, originally initiated in [46], are then continued in [50,51]. Gła˛bowski and Sobieraj [50] proposes the PGB-R method for calculations of the point-to-group blocking probability in a switching network with multiservice traffic sources and a reservation algorithm, while [51] discusses the PGB-T method for the determination of point-to-group blocking probability in a network with multiservice traffic sources and threshold mechanisms.…”

Section: Related Workmentioning

confidence: 99%

“…The methods of modelling networks with reservation mechanisms [50] were developed differently than those for networks with threshold mechanisms [51]. The influence of these mechanisms, applied to output links, on the traffic properties of inter-stage links was determined by scaling the reservation/threshold boundaries in inter-stage links, where the scale coefficient was defined as the ratio between the capacity of output links and inter-stage links.…”

Section: Related Workmentioning

confidence: 99%

“…The proposed approach to modelling different call admission and resource allocation control mechanisms used in switching networks will make it possible to significantly increase the accuracy of determining traffic characteristics of switching networks and, additionally, to take into account traffic streams generated by multiservice Erlang, Engset and Pascal traffic sources [51]. The recurrent method of modelling multiservice switching networks with multiservice sources developed in the article will enable a simultaneous determination of point-to-point and point-to-group blocking probabilities.…”

Section: Related Workmentioning

confidence: 99%

“…To shape the dependence between the values of losses in individual multiservice traffic classes, it is possible to introduce threshold mechanisms [51] and resource reservation mechanisms [40] to particular links in switching networks. These mechanisms can be treated as both executions of the call admission control function and resource management processes, thus making it possible to introduce dynamic resource reservation for particular traffic classes or appropriate adaptation of the volume of allocated resources to match the occupancy state of the system.…”

Section: Introductionmentioning

confidence: 99%

“…The model of a full-availability group, without threshold mechanisms and/or reservation, was initially developed for Erlang traffic streams [27,28], and then was expanded to include systems that serviced Engset and Pascal traffic streams [25]. Gła˛bowski and Sobieraj [51] assumes that in the case of the introduction of threshold mechanisms to output directions of a network, inter-stage links can be modelled by the model of a fullavailability group with threshold mechanisms. Within this approach, it is necessary to determine the values of thresholds Q F c,u for the full-availability group that influence the size of resources allocated to calls of class c, depending on the current occupancy distribution.…”

Section: Introductionmentioning

confidence: 99%

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Analytical modelling of multiservice switching networks with multiservice sources and resource management mechanisms

Głąbowski

Sobieraj

2017

Telecommun Syst

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This article proposes a new analytical method of determining occupancy distribution and blocking probability in multiservice switching networks with admission control mechanisms and resource management mechanisms. The proposed method is a universal one, which allows for determining blocking probability using the same model, regardless of the type of admission control mechanisms and resource management mechanisms. The versatility of the method is demonstrated in the article for two selected mechanisms, i.e. a threshold mechanism and a resource reservation mechanisms. The switching networks under consideration are offered multiservice traffic streams, generated by the so-called multiservice sources, according to Erlang, Engset and Pascal distributions. The proposed method is based on a generalised way of determining traffic characteristics for inter-stage links of switching networks with resource and call management mechanisms. Particular attention is given to determining the influence of the introduced mechanisms in outgoing links of the switching network on the traffic properties of inter-stage links of the network. The results of analytical calculations are then compared with the results obtained in digital simulation for a number of selected switching networks.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analytical modelling of multiservice switching networks with multiservice sources and resource management mechanisms

Głąbowski

Sobieraj

2017

Telecommun Syst

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Analytical models for communication links in emergency management simulation

Adams

Singh

2018

Int J Communication

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Emergency response involves the management of several different types of critical infrastructures and resources. Because of the interdependent nature of these systems, it is often very difficult for human decision makers to determine what the second-or third-order effects of their decisions or actions might be. This has resulted in the development of several simulation tools that could be used to evaluate decisions or behaviours and better inform decision makers about the potential impacts of their decisions. One area that remains underdeveloped in this regard is the engagement of communication technologies by human agents, which has the potential to seriously affect delay times in response coordination.Given the size and complexity of simulating the interconnection of heterogeneous systems, developing reduced-order simulation models has become important to maintain reasonable computation times. This paper describes the derivation of the distribution of the total connection time for a communication link where multiple technologies are engaged. Results show that communication link simulation times, which are among the most time-consuming simulation routines can be significantly reduced by using the closed-form distributions. KEYWORDS analytical communication models, complex systems, disaster communications, disaster response simulation, emergency procedures INTRODUCTIONDisasters affect millions worldwide and cause economic damage in billions of US dollars on a yearly basis. 1,2 Consequently, a large amount of prior preparation goes into building a resilient system, both in terms of structural integrity of physical infrastructures and population education surrounding disasters. Once an event has occurred, however, the ability to properly coordinate the ensuing response effort becomes critical. The system as a whole consists of many different types of resources and infrastructures, all with their own distribution networks, operation procedures, and physical dynamics. Decisions, such as allocating resources to one place instead of another can have noticeable effects on the disaster response. Given the multidimensional nature of the problem, it is extremely difficult for humans to make informed decisions since they are generally unable to assess second-or third-order effects of decisions in a complex interconnected system of systems. 3 To help decision makers understand the potential impacts of their decisions, a number of simulation tools have been developed such as I2Sim, 4 CIPDSS, 5 HAZUS, 6 and ADMS. 7 Complex interdependencies are evident even within the operations of a single infrastructure. The communication system, for example, which is one of the most critical of infrastructures, 8 can be viewed as a highly interconnected Int J Commun Syst. 2018;31:e3500.wileyonlinelibrary.com/journal/dac

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