TY - GEN
T1 - Fuzzy explicit marking for congestion control in differentiated services networks
AU - Chrysostomou, C.
AU - Pitsillides, A.
AU - Hadjipollas, G.
AU - Sekercioglu, A.
AU - Polycarpou, M.
PY - 2003
Y1 - 2003
N2 - This paper presents a new active queue management scheme, fuzzy explicit marking (FEM), implemented within the differentiated services (Diffserv) framework to provide the congestion control using a fuzzy logic control approach. Network congestion control remains a critical and high priority issue. The rapid growth of the Internet and increased demand to use the Internet for time-sensitive voice and video applications necessitate the design and utilization of effective congestion control algorithms, especially for new architectures, such as Diffserv. As a result, a number of researchers are now looking at alternatively schemes to TCP congestion control. RED (random early detection) and its variants are one of these alternatives to provide quality of service (QoS) in TCP/IP Diffserv networks. The proposed fuzzy logic approach for congestion control allows the use of linguistic knowledge to capture the dynamics of nonlinear probability marking functions and offer effective implementation, use of multiple inputs to capture the (dynamic) state of the network more accurately, enable finer tuning for packet marking behaviors (either dropping a packet or setting its ECN - explicit congestion notification - bit) for aggravated flows, and thus provide better QoS to different types of data streams, such as TCP/FTP traffic or TCP/Web-like traffic, whilst maintaining high utilization.
AB - This paper presents a new active queue management scheme, fuzzy explicit marking (FEM), implemented within the differentiated services (Diffserv) framework to provide the congestion control using a fuzzy logic control approach. Network congestion control remains a critical and high priority issue. The rapid growth of the Internet and increased demand to use the Internet for time-sensitive voice and video applications necessitate the design and utilization of effective congestion control algorithms, especially for new architectures, such as Diffserv. As a result, a number of researchers are now looking at alternatively schemes to TCP congestion control. RED (random early detection) and its variants are one of these alternatives to provide quality of service (QoS) in TCP/IP Diffserv networks. The proposed fuzzy logic approach for congestion control allows the use of linguistic knowledge to capture the dynamics of nonlinear probability marking functions and offer effective implementation, use of multiple inputs to capture the (dynamic) state of the network more accurately, enable finer tuning for packet marking behaviors (either dropping a packet or setting its ECN - explicit congestion notification - bit) for aggravated flows, and thus provide better QoS to different types of data streams, such as TCP/FTP traffic or TCP/Web-like traffic, whilst maintaining high utilization.
UR - http://www.scopus.com/inward/record.url?scp=84883871609&partnerID=8YFLogxK
U2 - 10.1109/ISCC.2003.1214139
DO - 10.1109/ISCC.2003.1214139
M3 - Conference contribution
AN - SCOPUS:84883871609
SN - 076951961X
SN - 9780769519616
T3 - Proceedings - IEEE Symposium on Computers and Communications
SP - 312
EP - 319
BT - Proceedings - 8th IEEE International Symposium on Computers and Communication, ISCC 2003
T2 - 8th IEEE International Symposium on Computers and Communication, ISCC 2003
Y2 - 30 June 2003 through 3 July 2003
ER -