Siemens-LUMS Collaboration
Project on GELS Evaluation
CT IT 2 (Siemens)
NC Lab (LUMS)
Evaluation of GELS Architecture
History
Sept 2005
– Identification of research
areas and key people at
Siemens and LUMS
Jan 2006
Identification of application
area of mutual interest
Feb 2006 – Jan 2007
– Project span and active
collaboration
Areas: MPLS and GMPLS
CT IT 2
NC Lab
GMPLS Control for Ethernet
(GELS)
Problem definition
Simulation environment
June 2006
– Documentation, packaging
of deliverables, research
reports
Software available online
Publication at Globecom 2007
Evaluation of GELS Architecture
People
Dr. Herbertus Dewitz (Liaison role)
Siemens
Dr. Johannes Riedl (Technical role)
Mr. Martin Nathensen (Technical role)
Mr. Kulkarni (Technical role)
Dr. Khurram Afridi (Liaison and advisory role)
LUMS
Dr. Zartash Afzal Uzmi (Technical and Supervisory role)
Fahad Rafique Dogar (Research Associate)
Muhammad Saqib Ilyas (Ph.D. Candidate at LUMS)
Fawaz Saleem Bokhari (Student researcher)
Atif Nazir (Student researcher)
Evaluation Definition
of GELS Architecture
Problem
Given
– A network of nodes and
communication links
Problem
Optimally place traffic
on the given network
Options
(1) use 25+ years old STP
in the network
(2) use a newly proposed
GELS architecture
Question
– Is it feasible and/or better to use newly proposed GELS
architecture instead of traditional (STP) solution?
Evaluation of
GELS
Architecture
Approach
for
Evaluation
of GELS
Consider a well known network (e.g., European COST266)
Compare old and new solutions (STP vs. GELS)
Network behaves normally
Portion of Network fails
Which solution places more
traffic on the network?
Which solution recovers
faster form the failure?
Methodology
Develop software tools for:
(1) simulating GELS architecture
(2) simulating traditional solution
Compare results
STP vs. GELS
EvaluationHow
of GELS
Architecture
Results:
much
traffic can be placed?
A famous European network (COST266)
EvaluationUsing
of GELS
Architecture
Results:
old
solution (STP)
Black links indicate no traffic!
EvaluationUsing
of GELS
Architecture
Results:
new
solution (GELS)
There are no black links!
Evaluation of GELS
Architecture
Comparative
Performance
Comparison Graph: Taken from IEEE Globecom 2007 paper
Evaluation of GELS
Architecture
Contributions
and
Deliverables
Siemens
Monthly feedback and setting research direction in
line with the interest of Siemens
Suggestion of networks that are of practical interest
to Siemens
Suggestion of network traffic parameters to conduct
the simulations
Development of simulation testbed and software tools
LUMS
Development of new algorithms for traffic placement
Definition of criteria for comparing old and new
solutions for placing traffic on the network
Installation and support documentation
Research report (to appear at IEEE Globecom 2007)
Evaluation
of GELS Architecture
List
of Deliverables
All software available for download (with instructions)
Evaluation
of GELS
Future
work
andArchitecture
Collaboration
GELS
Mechanisms for replacing the
traditional STP with the new
GELS-based solution
Transition Issue
Product of WM BU based in Berlin
Wireless
Modules
Areas of collaboration:
Efficient power control
New applications based on wireless
modules
Thank You
Restoration Routing
Restoration
RoutingininMPLS
MPLSNetworks
Networks
Problem
–
Develop framework to
accommodate maximum restorable
traffic in an MPLS ISP network
Approach
― Allow maximum sharing of backup
paths
― Identify optimal information to be
propagated
― Identify optimal set of nodes to
compute backup paths
Solution
–
A restoration routing scheme able
to accommodate 10% more traffic
over an MPLS network compared to
best known methodologies
Dr. Zartash A Uzmi
S
1
Primary Path
2
3
D
Single Failure Assumption allows these backup
paths to share bandwidth
Backup Path
Future Directions
–
Create MPLS Traffic Engineering test bed
with 26 nodes for experimentation
Funded by CISCO
Published in ICC ’05 and ICC ‘07
Wireless
Network
ResearchInformation
Initiative
Error Resilience
of Multimedia
Various faculty members
Observation
–
Developing countries are offering the
fastest growth in mobile technology
Largest WiMax deployment is being
done in Pakistan (Motorola/Wateen)
Research Strategy
–
–
–
Address the networking issues for the
4th generation multi-hop broadband
wireless networks
Emphasize the components in the
802.16J architecture
Work with the industry to translate
the research into technology
Icebreaking with 802.16J
–
–
–
–
–
–
Relay functionality
Access network frequency
management
Admission control
Local and network mobility
management
QoS enhancements via relays
Broadband multimedia services
User Data Rate Distribution
(DL,10MHz, FDD,10 user/secotr)
Tri-Sector Only
2 Relay/Sector
2.5
Data Throughput (Mbps)
–
2.0
1.5
1.0
0.5
0.0
0
10
20
30
40
50
60
70
80
90
100
Percentile (%)
Future Plan
–
–
–
–
–
–
Address ALL relevant research areas
Physical Layer (Collaborative MIMO and
OFDMA, ST diversity, Cognitive radio)
RF Hardware (High efficiency linear power
amps, tunable receivers, antenna arrays)
MAC (opportunistic scheduling with fairness)
Networking (Mobility management, handoff
and roaming, Ambient networking)
Services (VoIP, Mobile TV, High Res Games)
RSTP
GELS: of
Recovery
Errorvs.
Resilience
Multimediatime
Information