|| For the Fall semester 2006, the schedule of the monthly meetings and invited presentations at OpNeAR
lab. is the following (Please check again for updates):
Friday, Septmeber 29, 2006 - 4:00 pm - room ECSN 4.728 |
Convergent Networks and TARGET
Speaker: Dr. Muhammad A. Kalam
The recent trend in the networking industry is rapidly progressing to a new
type of networking infrastructure known as Convergent Network. Our TARGET
(Telecommunications Applied Research in Gigabit and Emerging Technologies)
was envisioned to create such an infrastructure in a Lab environment. We had
been able to acquire enough equipment to achieve this objective. The
presentation is an attempt to describe the current capabilities of this lab
along with a brief discussion of the future plans to expand it.
|| Friday, October 20, 2006 - 4:00 pm - room ECSN 2.110 |
Path Computation Element Based Architecture for Path Computation and Modeling
Speaker: Yue He
Constraint-based path computation is a fundamental building block for
traffic engineering systems such as Multiprotocol Label Switching
(MPLS) and Generalized Multiprotocol Label Switching (GMPLS) networks.
Path computation in large, multi-domain, multi-region or multi-layer
networks is complex and may require special computational components
and cooperation between the different network domains. This
presentation mainly focus on the general introduction of the path
computation element (PCE) based architecture and protocols of path
computation in multi-domain application, together with presenting a
concrete queueing model of the Multi-PCE path computation approach
using OPNET, a network simulation software.
|| Friday, November 17, 2006 - 4:00 pm - room ECSN 4.728 |
Network Recovery from Multi-Failure Patterns
Speaker: Kai Wu
As communications networks play deeper role in people's life, new
network applications and services are ever growing. Network
architecture has also been undergoing significant changes. The
Internet presents an easily accessible, ubiquitous platform for
converged services. It is hence important to maintain a highly
reliable network while accommodating various needs.
Recovery schemes, under the assumption of single failure scenarios,
have long been studied, where each single failure can be an
independent failure of a single link, node or shared risk link group
(SRLG). These schemes include both protection and restoration.
However, today's network also subject to multiple element failures
that may occur concurrently. However, coping with all the possible
failure scenarios becomes a challenge as they are more disruptive
and may require more bypass tunnels to be dealt with, when compared
to single failure solutions.
The objective of this talk it to explore and propose new solutions
to deal with multi-failure scenarios. The main focus is on
pre-planned protection using local recoveries. Two major challenges
are to provide fast detection of failure status of non-adjacent
network elements and to reduce the use of extra network resources,
including bypass tunnels. The proposed solutions should also retain
the simplicity and speed of today's (independent single failure)
solutions as much as possible.
This objective is achieved by using concept of Probable Failure
Pattern (PFP)'s to represent multi-failure scenarios. Various
expected failure patterns may be grouped into one or more clusters
in order to simplify both detection and bypass tunnel pre-planning.
Using the statistic model of PFP's, resource efficiency could be
further improved by trade complexity such as bypass tunnel length
with network performance such as recovery ratio.
The identification and characterization of multiple failure patterns
is also discussed in detail. A tool package that is used on a field
network to collect and analyze failure statistics.
Finally, the restoration realm of network recovery is investigated.
Restoration schemes can deal with multiple failures by nature, since
restoration path are sought on the fly. The proposed schemes could
also provide differentiated reliability to achieve better network
resource utilization under stress conditions.
|© 2006. All rights reserved.
Open Networking Advanced Research Lab
Dept. of Electrical Engineering
The University of Texas at Dallas. USA.