Title :
Static Traffic Grooming Mechanism Based on Quantum Immune Algorithm and Game Theory
Author :
Ren Na ; Zhang Nan ; Wang Hongjiang ; Zhang Wenqiang
Author_Institution :
Dept. of Inf. Eng., Shenyang Inst. of Eng., Shenyang, China
Abstract :
Traffic Grooming in optical networks is one if the most important and hot problems in the area of optical network. In the static traffic grooming problem, we introduce the concept of QoS (Quality of Service); in order to minimize the network cost utilization rate and to maximize the QoS degree of the users at the same time, we apply the intelligent computing algorithm - QIA(the quantum-based Immune Algorithm) to the framework to solve the problem.
Keywords :
evolutionary computation; game theory; quality of service; quantum communication; telecommunication traffic; game theory; intelligent computing algorithm; network cost utilization rate; quality of service; quantum immune algorithm; static traffic grooming mechanism; Algorithm design and analysis; Evolution (biology); Network topology; Optical fiber networks; Quality of service; Quantum mechanics; Resource management;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5998139
