Fuzzy Based Packet Scheduling Scheme using NonReal Time Traffic in IPMPLS Networks This paper presents Packets Processing Algorithm (PPA) in an Internet ProtocolMultiprotocol Label Switching (IPMPLS) based networks. Mainly involved label distribution using Label Distribution Protocol and packet forwarding. Fuzzy based Packet Scheduling Algorithm (FPSA) would be incorporated with PPA in order to provide intelligent performance to the MPLS core networks. Previously, many research has been proposed on the MPLS Traffic Engineering. However, there is still a need to further research on MPLS simulator using different mechanisms such as the analytical model of MPLS, expertbased packet scheduling algorithm for MPLS QoS support. Since MPLS is not able to provide intelligent routing, it is necessary to propose an intelligent expert system of FPSA combined with PPA together with an analytical model of packet forwarding in the MPLS network. This will be able to justify the control of traffic congestion and reliable services. Furthermore, the network model created using NS2, which carries application such as File Transfer Protocol (FTP) will be used. Performance metrics of throughput and endtoend delay are considered with the results obtained from trace files. Then, trace files are interpreted and used for the calculations of the aforementioned metrics by AWK script.

Programmable Multilayer INT: An Enabler for AIAssisted Network Automation Recently, the fast development of backbone networks has made the traffic, services, and infrastructure of packetoveroptical networks increasingly complicated. This stimulates research and development on finegrained and realtime performance monitoring and troubleshooting. In this article, we propose a ProMLINT system to oversee packetoveroptical networks in real time and enable customized performance monitoring and troubleshooting. We introduce the system design in detail, and explain how to control the overhead of multilayer INT MLINT by inserting INT fields in packets selectively. Experiments demonstrate the ProMLINT system, a smallscale packetoveroptical network testbed. The experimental results confirm that our proposal can monitor packet and optical layers jointly in real time, and the homemade data analyzer in it can leverage artificial intelligence to identify the root causes of exceptions in packetoveroptical networks correctly and promptly.