TY - GEN
T1 - Fuzzy logic congestion control in TCP/IP tandem networks
AU - Chrysostomou, C.
AU - Pitsillides, A.
PY - 2006
Y1 - 2006
N2 - Network resource management and control is a complex problem that requires robust, possibly intelligent, control methodologies to obtain satisfactory performance. While many Active Queue Management (AQM) mechanisms have been introduced to assist the TCP congestion control, these require careful configuration of non-intuitive control parameters, and show weaknesses to detect and control congestion under dynamic traffic changes, and a slow response to regulate queues. Furthermore, there is also a need to evaluate thoroughly the performance of such mechanisms for tandem networks containing multiple congested routers. A new AQM scheme, Fuzzy Explicit Marking (FEM) has recently been proposed to provide congestion control in TCP/IP best-effort networks using a fuzzy logic control approach. We present the control approach followed by the FEM controller, and evaluate the performance of FEM and a number of representative AQM schemes (A-RED, PI and REM) in a tandem network. An extensive simulation study over a wide range of traffic conditions shows that the FEM controller outperforms the other schemes in terms of queue fluctuations and delays, packets losses, link utilization, and speed of response to regulate queues.
AB - Network resource management and control is a complex problem that requires robust, possibly intelligent, control methodologies to obtain satisfactory performance. While many Active Queue Management (AQM) mechanisms have been introduced to assist the TCP congestion control, these require careful configuration of non-intuitive control parameters, and show weaknesses to detect and control congestion under dynamic traffic changes, and a slow response to regulate queues. Furthermore, there is also a need to evaluate thoroughly the performance of such mechanisms for tandem networks containing multiple congested routers. A new AQM scheme, Fuzzy Explicit Marking (FEM) has recently been proposed to provide congestion control in TCP/IP best-effort networks using a fuzzy logic control approach. We present the control approach followed by the FEM controller, and evaluate the performance of FEM and a number of representative AQM schemes (A-RED, PI and REM) in a tandem network. An extensive simulation study over a wide range of traffic conditions shows that the FEM controller outperforms the other schemes in terms of queue fluctuations and delays, packets losses, link utilization, and speed of response to regulate queues.
UR - http://www.scopus.com/inward/record.url?scp=34547257923&partnerID=8YFLogxK
U2 - 10.1109/ISCC.2006.79
DO - 10.1109/ISCC.2006.79
M3 - Conference contribution
AN - SCOPUS:34547257923
SN - 0769525881
SN - 9780769525884
T3 - Proceedings - IEEE Symposium on Computers and Communications
SP - 123
EP - 128
BT - Proceedings - 11th IEEE Symposium on Computers and Communications, ISCC 2006
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE Symposium on Computers and Communications, ISCC 2006
Y2 - 26 June 2006 through 29 June 2006
ER -