TY - GEN
T1 - An Analytical Approach for Traffic Grooming Problems Using Waiting Probability in WDM Networks
AU - Kaushal, Priyanka
AU - Mohan, Neeraj
AU - Gupta, Surbhi
AU - Kadry, Seifedine
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - Traffic grooming is the optimization of resources in a network. An efficient traffic grooming provides better resource utilization, enhanced performance at a lower cost. Traffic grooming has become very significant for all types of computer networks. As WDM (wavelength division multiplexing) networks are providing very high speed for a huge amount of data transfer, so traffic grooming is even more important for these networks. There are so many parameters that may be considered for traffic grooming. The waiting probability is one of the key parameters for traffic grooming. Waiting probability is a measurement of time spent by a call to get the required resources for further communication. We have proposed an efficient traffic grooming technique. This technique is based on waiting probability calculations. Waiting probability is calculated, and then traffic grooming problems are addressed based on the waiting probability calculations. Some of the other key network performance parameters such as the number of servers required, ideal path length for a source–destination pair, number of free wavelengths required, etc., are also analyzed. It is a low complexity technique for handling traffic grooming problems efficiently in telecommunication and call center management.
AB - Traffic grooming is the optimization of resources in a network. An efficient traffic grooming provides better resource utilization, enhanced performance at a lower cost. Traffic grooming has become very significant for all types of computer networks. As WDM (wavelength division multiplexing) networks are providing very high speed for a huge amount of data transfer, so traffic grooming is even more important for these networks. There are so many parameters that may be considered for traffic grooming. The waiting probability is one of the key parameters for traffic grooming. Waiting probability is a measurement of time spent by a call to get the required resources for further communication. We have proposed an efficient traffic grooming technique. This technique is based on waiting probability calculations. Waiting probability is calculated, and then traffic grooming problems are addressed based on the waiting probability calculations. Some of the other key network performance parameters such as the number of servers required, ideal path length for a source–destination pair, number of free wavelengths required, etc., are also analyzed. It is a low complexity technique for handling traffic grooming problems efficiently in telecommunication and call center management.
KW - Network optimization
KW - Traffic grooming
KW - WDM networks
KW - Waiting probability
UR - https://www.scopus.com/pages/publications/85115603483
U2 - 10.1007/978-981-16-2919-8_17
DO - 10.1007/978-981-16-2919-8_17
M3 - Conference contribution
AN - SCOPUS:85115603483
SN - 9789811629181
T3 - Lecture Notes in Networks and Systems
SP - 183
EP - 192
BT - IoT and Analytics for Sensor Networks - Proceedings of ICWSNUCA 2021
A2 - Nayak, Padmalaya
A2 - Pal, Souvik
A2 - Peng, Sheng-Lung
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications, ICWSNUCA 2021
Y2 - 26 February 2021 through 27 February 2021
ER -