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Siemens-LUMS Collaboration
Project on GELS EvaluationCT IT 2 (Siemens)NC Lab (LUMS)
Sept 2005– Identification of research
areas and key people at Siemens and LUMS
Jan 2006Identification of application area of mutual interest
Feb 2006 – Jan 2007– Project span and active
collaboration
June 2006– Documentation,
packaging of deliverables, research reports
Evaluation of GELS ArchitectureEvaluation of GELS ArchitectureHistory
Areas: MPLS and GMPLS
CT IT 2 NC Lab
GMPLS Control for Ethernet(GELS)
Problem definitionSimulation environment
Software available onlinePublication at Globecom 2007
Evaluation of GELS ArchitectureEvaluation of GELS ArchitecturePeople
Dr. Herbertus Dewitz (Liaison role)
Dr. Johannes Riedl (Technical role)
Mr. Martin Nathensen (Technical role)
Mr. Kulkarni (Technical role)
Siemens
LUMS
Dr. Khurram Afridi (Liaison and advisory role)
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)
Question– Is it feasible and/or better to use newly proposed GELS
architecture instead of traditional (STP) solution?
Evaluation of GELS ArchitectureEvaluation of GELS ArchitectureProblem Definition
Given– A network of nodes and
communication links
ProblemOptimally place traffic on the given network
Options(1) use 25+ years old STP in the network(2) use a newly proposedGELS architecture
Evaluation of GELS ArchitectureEvaluation of GELS ArchitectureApproach for Evaluation of GELS
MethodologyDevelop software tools for:(1) simulating GELS architecture(2) simulating traditional solution
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?
Compare resultsSTP vs. GELS
Evaluation of GELS ArchitectureEvaluation of GELS ArchitectureResults: How much traffic can be placed?
A famous European network (COST266)
Evaluation of GELS ArchitectureEvaluation of GELS ArchitectureResults: Using old solution (STP)
Black links indicate no traffic!
Evaluation of GELS ArchitectureEvaluation of GELS ArchitectureResults: Using new solution (GELS)
There are no black links!
Evaluation of GELS ArchitectureEvaluation of GELS ArchitectureComparative Performance
Comparison Graph: Taken from IEEE Globecom 2007 paper
Evaluation of GELS ArchitectureEvaluation of GELS ArchitectureContributions and Deliverables
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
Siemens
LUMS
Development of simulation testbed and software tools
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 ArchitectureEvaluation of GELS ArchitectureList of Deliverables
All software available for download (with instructions)
Evaluation of GELS ArchitectureEvaluation of GELS ArchitectureFuture work and Collaboration
Mechanisms for replacing the traditional STP with the new GELS-based solution
GELS
WirelessModules
Product of WM BU based in Berlin
Transition Issue
Areas of collaboration:Efficient power control
New applications based on wireless modules
Thank You
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
Future Directions– Create MPLS Traffic Engineering test
bed with 26 nodes for experimentation
Primary Path
Backup Path
Single Failure Assumption allows these backup paths to share bandwidth
Funded by CISCO
Published in ICC ’05 and ICC ‘07
Dr. Zartash A Uzmi
S 1 2 3 D
Restoration Routing in MPLS NetworksRestoration Routing in MPLS NetworksRestoration Routing in MPLS Networks
Error Resilience of Multimedia InformationError Resilience of Multimedia Information
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
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)
Various faculty members
Wireless Network Research Initiative
User Data Rate Distribution(DL,10MHz, FDD,10 user/secotr)
0.0
0.5
1.0
1.5
2.0
2.5
0 10 20 30 40 50 60 70 80 90 100
Percentile (%)
Da
ta T
hro
ug
hp
ut
(Mb
ps
)
Tri-Sector Only 2 Relay/Sector
Error Resilience of Multimedia InformationError Resilience of Multimedia InformationRSTP vs. GELS: Recovery time