Methodology for derivation of network resources to support video-related services in ATM-based private wide-area networks

Ani, Cosmas I.; Ahmad, Riaz; Halsall, F.

doi:10.1049/ip-com:19952032

Cited by 4 publications

(9 citation statements)

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“…Validation of the integrated modelling approach has been carried out based on a single and multiple data traffic sources [3]. …”

Section: S S S Simulation Results Imulation Results Imulation Resultsmentioning

confidence: 99%

“…It differs from the traditional approach with the inclusion of a cell loss rate predicting module and the associated arrival and departure process monitors. The cell loss rate predicting module is an analytical model based on a mathematical expression which is developed using the fluidflow approximation approach [1,3]. The arrival and departure processes are monitored using rate monitor [ The predicting module is an analytical model that has the objective of predicting cell loss rate in those regions where the use of computer simulation modelling is impractical.…”

Section: Nigerian Journal Of Technology (Nijotech)mentioning

confidence: 99%

“…The approach is used to quantify the cell loss rate affic that is loss sensitive with a very low value of cell loss rate standard's requirement. This technique has been applied successfully for video related services [3]. Therefore, this work is going research work in the Centre xcellence in Networking) on the performance management of an ATM based wide network.…”

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confidence: 99%

“…It is obvious that resource allocation decisions made in those regions cannot be right. A computer simulation modelling approach which integrates mathematical and computer simulation modelling techniques solves the problem by switching from computer simulation to mathematical (analytical) modelling when enough cells cannot be generated for accurate cell loss evaluation [1,3,4]. The switching point between is determined by the maximum buffer storage value.…”

mentioning

confidence: 99%

“…Asynchronous transfer mode node; integrated modelling; simulation; Cell loss. generated for accurate cell loss evaluation [1,3,4]. The switching point between the two methods is determined by the maximum buffer storage value.…”

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confidence: 99%

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Application of integrated modeling technique for data services resource allocation in atm based private wan

Onah¹,

Ani²

2014

Nig. J. Tech.

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bstract bstract bstractComputer simulation modelling has the advantage of flexibility and modelling accuracy. However, it has Computer simulation modelling has the advantage of flexibility and modelling accuracy. However, it has Computer simulation modelling has the advantage of flexibility and modelling accuracy. However, it has Computer simulation modelling has the advantage of flexibility and modelling accuracy. However, it has limitations in its ability to be used to simulate cell loss rate when deriving t limitations in its ability to be used to simulate cell loss rate when deriving t limitations in its ability to be used to simulate cell loss rate when deriving t limitations in its ability to be used to simulate cell loss rate when deriving t required for data services to guarantee specific Quality of Service (QoS) requirement. Cell loss rates are required for data services to guarantee specific Quality of Service (QoS) requirement. Cell loss rates are required for data services to guarantee specific Quality of Service (QoS) requirement. Cell loss rates are required for data services to guarantee specific Quality of Service (QoS) requirement. Cell loss rates are simulated with excessive and unacceptable computer simulation run times. This limitation was overcome simulated with excessive and unacceptable computer simulation run times. This limitation was overcome simulated with excessive and unacceptable computer simulation run times. This limitation was overcome simulated with excessive and unacceptable computer simulation run times. This limitation was overcome in an earlier publication in an earlier publication in an earlier publication in an earlier publication by the author using an integrated simulation technique. This paper, therefore, by the author using an integrated simulation technique. This paper, therefore, by the author using an integrated simulation technique. This paper, therefore, by the author using an integrated simulation technique. This paper, therefore, describes the application of the integrated simulation technique for deriving the optimum resources describes the application of the integrated simulation technique for deriving the optimum resources describes the application of the integrated simulation technique for deriving the optimum resources describes the application of the integrated simulation technique for deriving the optimum resources required for data services in an asynchronous transfer mode (ATM) based priva required for data services in an asynchronous transfer mode (ATM) based priva required for data services in an asynchronous transfer mode (ATM) based priva required for data services in an asynchronous transfer mode (ATM) based priva (WAN) to guarantee specific QoS requirement. The simulation tool drastically cuts the simulation run (WAN) to guarantee specific QoS requirement. The simulation tool drastically cuts the simulation run (WAN) to guarantee specific QoS requirement. The simulation tool drastically cuts the simulation run (WAN) to guarantee specific ...

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“…Validation of the integrated modelling approach has been carried out based on a single and multiple data traffic sources [3]. …”

Section: S S S Simulation Results Imulation Results Imulation Resultsmentioning

confidence: 99%

Section: Nigerian Journal Of Technology (Nijotech)mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Application of integrated modeling technique for data services resource allocation in atm based private wan

Onah¹,

Ani²

2014

Nig. J. Tech.

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Fast and accurate estimation of ATM quality-of-service parameters with applications to call admission control

Fan

Mars

1998

IEE Proc., Commun.

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Resource reservation technique for handover calls using integrated modeling technique

Onah

Ezeja

Ani

2013

2013 8th IEEE Design and Test Symposium

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The increase in GSM mobile station (MS) density, without a corresponding increase in radio channel resource capacity, reduces the quality of service (QoS) standard provided to users. Attempts to improve the QoS standard usually leads to the creation of new base stations (BS) with the consequent reduction in the existing cell sizes. Although, the available network capacity is increased, this happens at the expense of increased numbers of call handoversSuch increase is usually accommodated by resource reservation. How well the reservation is made greatly influences the GSM network quality of service (QoS) and the general BS resource utilization. This work presents a radio channel resource reservation technique for GSM handover calls. A typical GSM network architecture was modeled using an integrated modeling technique in a MATLAB block oriented simulation environment. The analytical part of the model was developed using the Markov chain principle and validated using the existing popular Lee's queuing model. The relationships between the handover call blocking probability, fresh call blocking probability, the number of resources to be reserved and traffic intensity were established. Simulation results were analyzed and a method of determining the optimum number of resources that can be reserved for handover calls for a given BS resource capacity was presented.

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Methodology for derivation of network resources to support video-related services in ATM-based private wide-area networks

Cited by 4 publications

References 0 publications

Application of integrated modeling technique for data services resource allocation in atm based private wan

Application of integrated modeling technique for data services resource allocation in atm based private wan

Fast and accurate estimation of ATM quality-of-service parameters with applications to call admission control

Resource reservation technique for handover calls using integrated modeling technique

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