Investigation of Blocking Performance in GMPLS Networks

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Sandeep Goel ◽  
Ranjit Kaur ◽  
Amit Wason
Keyword(s):  
Mathematical Model ◽  
Multiprotocol Label Switching ◽  
Traffic Intensity ◽  
Suggested Model ◽  
Call Blocking ◽  
Label Switching ◽  
Generalized Multiprotocol Label Switching ◽  
Proposed Model ◽  
Vital Factor

AbstractThe call blocking is the most vital factor in generalized multiprotocol label switching (GMPLS) Networks. Call blocking depends upon many factors such as traffic intensity, number of servers and number of links. Call blocking performance for GMPLS networks has been calculated in this paper by using a proposed mathematical model. The proposed model investigates the dependency of probability of call blocking upon the number of wavelengths and number of links. In the suggested model, the blocking performance of GMPLS network is improved.

Reduction of Blocking Probability in Generalized Multi-Protocol Label Switched Optical Networks

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Monika Dhawan ◽  
Simranjit Singh ◽  
Amit Wason
Keyword(s):  
Mathematical Model ◽  
Quality Of Service ◽  
Optical Networks ◽  
Blocking Probability ◽  
Optical Network ◽  
Traffic Intensity ◽  
Call Blocking ◽  
Proposed Model ◽  
Mode Of Operation

AbstractThe blocking probability is studied for improving the quality of service of the network. The call blocking model for mode of operation to determine the types of applications suitable for Generalized Multi-Protocol Label Switched (GMPLS) networks is proposed. The performance of optical network depends upon various parameters such as number of channels, number of sources, traffic intensity which directly affect the blocking probability of the network. A mathematical model of an optical network for blocking probability of cleared calls and holding calls is developed. In the proposed model, blocking probability of the network gets reduced with a large number of servers. The proposed models decrease the blocking probability of the network to a level of 10–40. In addition, the blocking performance for held calls is also analyzed to compare the amount of traffic intensity that can be handled and completed properly with that of the cleared calls probability. The blocking probability is less for cleared calls than that for held calls as more traffic intensity can be handled in case of cleared calls but the chances for call completion increases in case of held calls.

Generalized multiprotocol label switching: an overview of signaling enhancements and recovery techniques

2001 ◽  
Vol 39 (7) ◽  
pp. 144-151 ◽  
Author(s):  
A. Banerjee ◽  
L. Drake ◽  
L. Lang ◽  
B. Turner ◽  
D. Awduche ◽  
...  
Keyword(s):  
Multiprotocol Label Switching ◽  
Label Switching ◽  
Generalized Multiprotocol Label Switching ◽  
Recovery Techniques

Generalized multiprotocol label switching: an overview of routing and management enhancements

2001 ◽  
Vol 39 (1) ◽  
pp. 144-150 ◽  
Author(s):  
A. Banerjee ◽  
J. Drake ◽  
J.P. Lang ◽  
B. Turner ◽  
K. Kompella ◽  
...  
Keyword(s):  
Multiprotocol Label Switching ◽  
Label Switching ◽  
Generalized Multiprotocol Label Switching

Model for Performance Improvement of Blocking Probability in GMPLS Networks

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Sandeep Goel ◽  
Ranjit Kaur ◽  
Amit Wason
Keyword(s):  
Wavelength Division Multiplexing ◽  
Blocking Probability ◽  
Complex Model ◽  
Multiprotocol Label Switching ◽  
Call Blocking ◽  
Label Switching ◽  
Call Blocking Probability ◽  
Wavelength Division ◽  
Probability Optimization ◽  
Time Division

AbstractGeneralized multiprotocol Label Switching (GMPLS) is a set of rules which is used in various layers like the Wavelength Division Multiplexing (WDM) layer, Time Division Multiplexing (TDM) layer, etc. to generalize the concepts of labels of Multiprotocol Label Switching networks. A block in call occurs when number of requests is more than the servers and waiting rooms. This call blocking is the very important parameter and can be calculated in terms of probability. There are a number of models to calculate the call blocking probability like Erlang B, Erlang C, etc. This paper suggests a novel, efficient and less – complex model which minimize the call blocking to very much extent for GMPLS networks. This model deals with the factors like number of wavelengths, number of links, traffic intensity, etc. which can help in reducing the call blocking probability and give better results. In this paper, the call-blocking probability is also compared with number of links by considering different wavelengths. A comparison of call-blocking probability of proposed model is also analysed. This paper deals with blocking probability optimization in GMPLS Networks using Fredericks approach. We have used peakedness factor from Fredericks approach in Engset’s formula for this optimization.”

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