Using Fuzzy Logic
Control to Provide Intelligent Traffic Management Service for High-Speed
Networks
ABSTRACT:
In view of the
fast-growing Internet traffic, this paper propose a distributed traffic
management framework, in which routers are deployed with intelligent data rate
controllers to tackle the traffic mass. Unlike other explicit traffic control protocols
that have to estimate network parameters (e.g., link latency, bottleneck
bandwidth, packet loss rate, or the number of flows) in order to compute the
allowed source sending rate, our fuzzy-logic-based controller can measure the
router queue size directly; hence it avoids various potential performance
problems arising from parameter estimations while reducing much consumption of
computation and memory resources in routers. As a network parameter, the queue
size can be accurately monitored and used to proactively decide if action
should be taken to regulate the source sending rate, thus increasing the
resilience of the network to traffic congestion. The communication QoS (Quality
of Service) is assured by the good performances of our scheme such as max-min
fairness, low queueing delay and good robustness to network dynamics.
Simulation results and comparisons have verified the effectiveness and showed
that our new traffic management scheme can achieve better performances than the
existing protocols that rely on the estimation of network parameters.
EXISTING SYSTEM:
Historically, TCP (Transmission Control Protocol) is
a widely deployed congestion control protocol that tackles the Internet
traffic. It has the important feature that the network is treated as a black
box and the source adjusts its window size based on packet loss signal.
However, as an implicit control protocol, TCP encounters various performance problems
(e.g., utilization, fairness and stability) when the Internet BDP
(Bandwidth-Delay Product) continues to increase.
DISADVANTAGES
OF EXISTING SYSTEM:
They still have the fundamental problem of
inaccurate estimation resulting in performance degradation. In addition, their
bandwidth probing speed may be too slow when the bandwidth jumps a lot. Also,
they cannot keep the queue size stable due to oscillations, which in turn
affects the stability of their sending rates.
PROPOSED SYSTEM:
The contributions of our work lie in:
1) Using fuzzy logic theory to design an explicit
rate-based traffic management scheme (called the IntelRate controller) for the
high-speed IP networks;
2) The application of such a fuzzy logic controller using
less performance parameters while providing better performances than the
existing explicit traffic control protocols;
3) The design of a Fuzzy Smoother mechanism that can
generate relatively smooth flow throughput;
4) The capability of our algorithm to provide
max-min fairness even under large network dynamics that usually render many
existing controllers unstable.
ADVANTAGES
OF PROPOSED SYSTEM:
ü The queue size can be accurately monitored.
ü Used to proactively decide if action should be taken
to regulate the source sending rate.
ü QoS (Quality of Service) is assured by the good
performances of our scheme such as max-min fairness, low queueing delay and
good robustness to network dynamics.
SYSTEM ARCHITECTURE:
SIMULATION SETUP:
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
ü Processor - Pentium –IV
ü Speed - 1.1
Ghz
ü RAM - 256
MB(min)
ü Hard Disk -
20 GB
ü Key Board -
Standard Windows Keyboard
ü Mouse - Two
or Three Button Mouse
ü Monitor - SVGA
SOFTWARE CONFIGURATION:-
ü Operating System : Windows XP
ü Programming Language :
JAVA.
ü Java Version :
JDK 1.6 & above.
REFERENCE:
Jungang Liu, Student
Member, IEEE, and Oliver W. W. Yang, Senior Member, IEEE, “Using Fuzzy Logic Control to Provide Intelligent
Traffic Management Service for High-Speed Networks”, IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, VOL. 10, NO. 2,
JUNE 2013.
