CONGESTION CONTROL USING FUZZY BASED LSPS
IN MULTIPROTOCOL LABEL SWITCHING
NETWORKS
International Journal on Foundations of Computer Science & Technology (IJFCST), 6 (2):
21 (March 2016)DOI: 10.5121/ijfcst.2016.6201
Abstract
In this paper, we have proposed a fuzzy based decision making component for high volume traffic MPLS
networks, by implementing Traffic Engineering, Quality of Service and Multipath routing. The approach
explicitly proves to be successful in solving the issues and challenges pertaining to stability, scalability in
high volume and dynamic traffic. Furthermore, it will work to handle congestion by higher link utilization
and provides efficient rerouting of traffic along with fault tolerance in the network. In this research work,
fuzzy calculations are done for fixing the attributes of the MPLS label(s), which is put on particular packet
representing the Forwarding Equivalence Class. Fuzzy controller consists of two sub fuzzy systems- Label
Switched Path setup System (LsS) and Traffic Splitting System (TSS). The computation of dynamic status of
Load and Delay is utilized by LsS to arrange the paths in preference order. The attained Link Capacity and
Utilization Rate are employing by TSS for maintaining congestion free path. The impact of this is to
facilitate, we have better decision making for splitting the traffic for different promising paths. This was
apparent from the series of traffic scenarios. Observations are obtained using this realization