Performance Evaluation of the Particle Swarm Optimized Fuzzy Logic Congestion Detection Mechanism in Proportional Differentiated Services IP Networks
نویسندگان
چکیده
Abstract—A Particle Swarm optimized Fuzzy Logic Congestion Detection (FLCD) was recently proposed for best-effort service networks. This algorithm synergically combines the good characteristics of traditional Active Queue Management (AQM) algorithms and fuzzy logic based AQM algorithms. Its membership functions are designed automatically by using a Multi-objective Particle Swarm Optimization (MOPSO) algorithm in order to achieve optimal performance on all the major performance metrics of IP congestion control. In this paper we evaluate the performance of the FLCD algorithm in a Proportional differentiated services (PropDiffServ) network environment. Simulation results show that the PropDiffServ FLCD algorithm exhibits lower packet loss rates, higher link utilization and lower buffer occupancy for TCP traffic flows when compared with the Weighted Random Early Detection (WRED) algorithm. The FLCD algorithm also exhibits lower jitter and delay for real-time traffic.
منابع مشابه
Self-Organization in a Particle Swarm Optimized Fuzzy Logic Congestion Detection Mechanism for IP Networks
The Fuzzy Logic Congestion Detection (FLCD) algorithm is a recent proposal for congestion detection in IP networks which combines the good characteristics of both traditional Active Queue Management (AQM) algorithms and fuzzy logic based AQM algorithms. The Membership Functions (MFs) of the FLCD algorithm are designed using a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm, in ord...
متن کاملA Novel Fuzzy Logic Base Scheduling Mechanism for Service Differentiation in IP Networks
Quality of Service (QoS) refers to a set of rules or techniques that help the network administrators use the available network resources optimally to manage the effects of congestion and to treat the applications according to their needs. The differentiated services architecture (DiffServ) allows providing quality of service to users. The major DiffServ premise is that individual flows with sim...
متن کاملA Fuzzy Based Three Color Meter/Marker for Diffserv Networks (RESEARCH NOTE)
Differentiated Services (Diffserv) which was proposed by Internet Engineering Task Force (IETF), is a scalable and robust model for providing the end-to-end QoS. In the Diffserv networks, metering mechanisms are used to measure traffic stream. The single rate Three Color Meter (srTCM) [1],which was proposed by IETF, meters an IP packet stream and marks its packets either green, yellow, or red....
متن کاملFuzzy logic controlled RED: congestion control in TCP/IP differentiated services networks
The use of the Internet for time-sensitive services, such as voice and video applications, requires a predictable quality of service. The TCP/IP differentiated services (DiffServ) architecture was introduced to achieve such performance. Network congestion control, however, still remains a critical and high priority issue. A number of researchers are looking at alternative schemes such as random...
متن کاملFuzzy Logic Based Aqm Congestion Control in Tcp/ip Networks
Network management and control is a complex problem that requires robust, intelligent, control methodologies to obtain satisfactory performance. Active Queue Management (AQM) mechanisms have been introduced for router support to assist the TCP congestion control to perform satisfactorily in all circumstances. However, certain, well-known limitations, identified in the AQM literature, motivates ...
متن کامل