Abstract
Multiprotocol Label Switched Networks need highly intelligent controls to manage high volume traffic due to issues of traffic congestion and best path selection. The work demonstrated in this paper shows results from simulations for building optimal fuzzy based algorithm for traffic splitting and congestion avoidance. The design and implementation of Fuzzy based software defined networking is illustrated by introducing the Fuzzy Traffic Monitor in an ingress node. Finally, it displays improvements in the terms of mean delay (42.0%) and mean loss rate (2.4%) for Video Traffic. Then, the resu1t shows an improvement in the terms of mean delay (5.4%) and mean loss rate (3.4%) for Data Traffic and an improvement in the terms of mean delay(44.9%) and mean loss rate(4.1%) for Voice Traffic as compared to default MPLS implementation.
Highlights
Multiprotocol Label Switching Network (MPLS) is one of the promising architecture of the future internet
SIMULATION ANALYSIS AND RESULTS For validating incremental progress related to solving the problem of traffic splitting, a comparison between classical approach (OSPF) and proposed work (FLCS) was conducted by multiple experiments using NS-3[18,19,20,21,22,23,24,25,26]
Our work demonstrates the improvements by adding Fuzzy Traffic Manager (FTM) for LSP Selection
Summary
Multiprotocol Label Switching Network (MPLS) is one of the promising architecture of the future internet. MPLS provides traffic engineering and virtual private network (VPN) services that lead to solving problems relating to traffic congestion. These network services depend upon protocols like Resource Reservation Protocol (RSVP), Constraint-based Label Distribution Protocol (CR-LDP), Open Shortest Path First (OSPF) and the extensions for the resource reservation protocol (ERSVP) [1,2,3,4]. This paper presents experience and fuzzy-based rules for traffic management in Software Defined Networks This architecture ensures high QoS for video applications. TSS performs the traffic splitting among the computed paths, according to the two input fuzzy metrics (utilization rate and link capacity) and gives output fuzzy metric TSS_value. The proposed scheme provides a way forward to a more robust and efficient form of multimedia streams, which is highly needed as the demand grows for better services
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