No.4 ESS: Network Management and Traffic Administration

Greene, T.; Haenschke, D. G.; Hornbach, B. H.; Johnson, Clay

doi:10.1002/j.1538-7305.1977.tb00560.x

Cited by 14 publications

(3 citation statements)

References 2 publications

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“…However, we can do this indirectly using (5) and (6). Let achieve equality in (3); let achieve equality in (4).…”

Section: Blocking Heuristicsmentioning

confidence: 99%

Dynamic call-blocking algorithms for telecommunications networks

Shortle

2003

IEEE Trans. Commun.

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Abstract-Mass-calling events can cause significant congestion in the phone network due to the high volume of redial attempts. This letter presents dynamic algorithms which randomly block some calls at their origination points, thus reducing traffic in the network. The algorithms respond to changing congestion levels by observing whether or not previous calls have been answered. The algorithms reduce call attempts by 50% during periods of 80% blocking, with little disruption in blocking levels to the dialing customers (blocking increases by less than 1%). We also derive an improved blocking heuristic which is more effective under periods of heavier congestion.

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“…However, we can do this indirectly using (5) and (6). Let achieve equality in (3); let achieve equality in (4).…”

Section: Blocking Heuristicsmentioning

confidence: 99%

Dynamic call-blocking algorithms for telecommunications networks

Shortle

2003

IEEE Trans. Commun.

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“…Automatic generation of operations reports by the system itself. Modular equipment and data concepts to allow trunk rearrangements on a group (12) or digroup (24) basis.…”

Section: Maintenance Engineering and Administrationmentioning

confidence: 99%

“…Network Management: 12 In addition to the traditional network man agement features, No. 4 ESS was planned to provide improved control and surveillance functions.…”

Section: Maintenance Engineering and Administrationmentioning

confidence: 99%

No.4 ESS: System Objectives and Organization

Ritchie¹,

Tuomenoksa²

1977

Bell System Technical Journal

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Time‐series analysis of traffic updates in loss systems

Filipiak¹,

Chemouil²

1990

Appl. Stochastic Models Data Anal.

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SUMMARYThe paper deals with time-series analysis of one-line traffic measurements in loss systems. Discrete-time stochastic models are derived for finite-capacity trunk groups with non-exponential distributions of interarrival and service times. The modelling accuracy is characterized by a prediction error. Simulation results are used to assert situations when the application of the proposed modelling technique is practical. Finally the adaptive Kalman filter is used to deal with cases when the statistics of observed processes are not known a prior;.

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No.4 ESS: Network Management and Traffic Administration

Cited by 14 publications

References 2 publications

Dynamic call-blocking algorithms for telecommunications networks

Dynamic call-blocking algorithms for telecommunications networks

No.4 ESS: System Objectives and Organization

Time‐series analysis of traffic updates in loss systems

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