1. Siemens-LUMS Collaboration

2. Project on GELS Evaluation CT IT 2 (Siemens) NC Lab (LUMS)

3. 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 June 2006 –Documentation, packaging of deliverables, research reports Evaluation of GELS Architecture History Areas: MPLS and GMPLS CT IT 2NC Lab GMPLS Control for Ethernet (GELS) Problem definition Simulation environment Software available online Publication at Globecom 2007

4. Evaluation of GELS Architecture People 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)

5. Question –Is it feasible and/or better to use newly proposed GELS architecture instead of traditional (STP) solution? Evaluation of GELS Architecture Problem Definition 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

6. Evaluation of GELS Architecture Approach for Evaluation of GELS Methodology Develop 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 results STP vs. GELS

7. Evaluation of GELS Architecture Results: How much traffic can be placed? A famous European network (COST266)

8. Evaluation of GELS Architecture Results: Using old solution (STP) Black links indicate no traffic!

9. Evaluation of GELS Architecture Results: Using new solution (GELS) There are no black links!

10. Evaluation of GELS Architecture Comparative Performance Comparison Graph: Taken from IEEE Globecom 2007 paper

11. Evaluation of GELS Architecture Contributions 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)

12. Evaluation of GELS Architecture List of Deliverables All software available for download (with instructions)

13. Evaluation of GELS Architecture Future work and Collaboration Mechanisms for replacing the traditional STP with the new GELS-based solution GELS Wireless Modules Product of WM BU based in Berlin Transition Issue Areas of collaboration: Efficient power control New applications based on wireless modules

14. Thank You

15. 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 S123D Restoration Routing in MPLS Networks

16. Error 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 4 th 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

17. Error Resilience of Multimedia Information RSTP vs. GELS: Recovery time