Title :
An intelligent fault-tolerant QoS unicast routing mechanism based on the outlook algorithm
Author :
Xin Man ; Xing-Wei Wang ; Min Huang
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
Due to the heterogeneity, mobility, instability and other features of NGI (Next Generation Internet), it is difficult to provide users with QoS (Quality of Service). And fault-tolerance needs to be improved in NGI. Thus, an intelligent fault-tolerant QoS unicast routing mechanism based on the outlook algorithm is proposed. The knowledge of fuzzy mathematics and probability theory is introduced to adapt the uncertainness on the measurement of network status and the fuzziness on user requirements and network parameters. In the case of single SRLG (Shared Risk Link Group) failure, the preventive SRLG-disjoint based shared-path protective routing strategy is used to improve the fault-tolerance in NGI. And the mechanism is based on the outlook algorithm to find the fault-tolerant QoS unicast routing with the end-to-end multi-objective optimum. Simulation results have shown that the proposed mechanism is feasible and effective.
Keywords :
Internet; fault tolerant computing; fuzzy set theory; next generation networks; probability; quality of service; telecommunication network routing; NGI; SRLG failure; SRLG-disjoint based shared-path protective routing strategy; end-to-end multiobjective optimum; fault-tolerance improvement; fuzzy mathematics; heterogeneity feature; instability feature; intelligent fault-tolerant QoS unicast routing mechanism; mobility feature; network parameter fuzziness; network status measurement uncertainness; next generation Internet; outlook algorithm; probability theory; quality of service; shared risk link group failure; user requirement fuzziness; Bandwidth; Fault tolerance; Fault tolerant systems; Quality of service; Routing; Unicast; QoS (Quality of Service); fault-tolerance; multi-objective optimum; outlook algorithm; shared-path protection; unicast routing;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/FSKD.2013.6816198