This presentation discusses improving traffic engineering in IP networks using MPLS. It aims to study algorithms that can direct traffic along less congested paths to avoid over-utilized links. The methodology involves simulating a MPLS network using NS2 and NAM to set up LSPs based on packet priority and analyze the results. The expected result is that CR-LDP will enable better traffic engineering by controlling how traffic is routed. The work plan outlines tasks such as literature review, network design, and analysis of simulation results.

1. FINAL PROJECT 1 PRESENTATION
Presented by: SITI AMELIA BINTI AHMAD
ID No: 51262111365
Bachelor of Engineering Technology in Data
Communication
Supervisor : Sir Mohd Ghazali Mohd Tahir

2. INTRODUCTION
Traffic Engineering
Process of controlling how traffic flow from one network to another and optimizing
resouces utilization and network performance.
Why traffic engineering is needed in IP network:
Current IGPs always use the shortest path to forward the traffic.
MPLS
 Generally a mechanism in high performance telecommunication network
Why MPLS:
 Lack of traffic engineering controlling in the network.
 MPLS provides increased scalability, manageability, and Quality of Service (QoS)
functions to IP-based networks in order to improve traffic engineering.

3. OBJECTIVES
 To study on how to Improve traffic engineering in
the IP network
 To study which algorithm that can be completely
useful to implement the direction of this project
 To study on how to utilized the use of paths in the
network to avoid over-utilized or underutilized
 To study on how to solved the congestion problem
that exist in the IP network
 To study on how to apply new technologies – MPLS

4. PROBLEM STATEMENT
Traffic engineering problems in IP network:
 Uneven distribution of traffic
 In fowarding the traffic, it causes the traffic
congestion on the path and remain other paths
over-utilized or underutilized.

5. LITERATURE REVIEW
 Papers ‘A Load Balancing Scheme For Congestion
Control In MPLS Networks’ describe that the other way
to solve the congestion control that exist in Traffic
Engineering is by using load balancing scheme.
 A study by David Culley, Chris Fuchs and Duncan Sharp
in their journal entitled An Investigation of MPLS Traffic
Engineering Capabilities using CR-LDP compared the
performance of the network before and after CR-LDP
has been setup.

6. METHODOLOGY
Flow
Chart

7. METHODOLOGY (cont)
MPLS Domain

8. METHODOLOGY (cont)
Algorithms deployed in the IP network for traffic
engineering controlling:
 IGP algorithm
 CR-LDP algorithm
Software that will be involved in performing the
simulation:
a. NS2 (Network Simulator)
b. NAM (Network Animator)

9. METHODOLOGY (cont)
Network Scenario:
Packets are considered based on their priority with
different bandwidth requirement.
 Set up the LSPs in the MPLS network based on their
priority of the packets so that the higher priority will
traveled in the shortest path while less priority
traveled in longer path of the network.
Proposed Model Network

10. EXPECTED RESULT
 MPLS enables the traffic engineering in the IP
network and that is done essentially by the
capabilities of Constraint –based Routing
algorithm. (CR-LDP algorithm)

11. WORK PLAN

12. CONCLUSION
 We can conclude that MPLS has many
advantages for traffic engineering. It increases
network scalability, simplifies network service
integration, offers integrated recovery and
simplifies network management, design and
operation. Designing suitable algorithm will
make better use in improving the traffic
engineering throughout the simulations.

13. REFERENCES
 1. X. Xiao and L. Ni “Traffic Engineering with MPLS in the Internet”,
Michigan State University, 2000
 2. David Culley “An Investigation of MPLS Traffic Engineering
Capabilities using CR-LDP”, April 12, 2001
 3. Tamrat Bayle. “Performance Measurement of MPLS Traffic
Engineering and QoS”, Hiroshima University.
 4. Tony Dongliang Feng, “An Analysis of Constraint-based Routing
in MPLS”, April 15,2002.
 5. Shyam Subramaniam, “Study of Traffic Engineering Algorithms
and Framework”.
 6. Elio Salvadori, “A Load Balancing Scheme For Congestion
Control In MPLS Networks”, University of Trento, November 2002.
 7. NS-manual: http://www.isi.edu/nsnam/ns
 8. MNS-manual: http://flower.ce.cnu.ac.kr%7Efog1/mns/