1. Network performance measurements and cross-layer communication research opportunities on LEARN Deniz Gurkan, Charles Chambers, Tesfaye Kumbi, Maanasa Madiraju, and Karthik R. Naramuchi University of Houston Feb. 18, 2011

2. Performance and Provisioning GENI racks and ION/DYNES initiative will enable high bandwidth data flow Performance of the network can be used to better provision the network – Quality of service metrics and throughput range – perfSONAR hooks: LEARN investment is in progress to measure and evaluate performance Measurements

3. Topology LEARN DYNES

4. Multi-domain Optical Networks Most physical layer measurements available through CLI or SNMP polls to the optical equipment Different vendors with varying naming and access conventions Access, storage, configuration Physical Layer Measurements

5. Information Model IETF – CCAMP working group: e.g., Performance Measurement Metrics of Label Switched Path (LSP) Establishment in Multi-Layer and Multi-Domain Networks (draft-jiyf-ccamp-lsp-00) ITU-T standards Embedded (internal) measurements: – Infinera DTN – Ciena Core Director – Etc. Optical Impairments

6. Standards and Protocols perfSONAR: add optical physical layer measurements – GENI IMF project goal IF-MAP, SNMP, syslog – IF-MAP: integrated approach to access, share, and store in a dynamic fashion – SNMP and syslog: poll, no data unification Network Description Language (NDL) with a Resource Description Framework (RDF) – Common language towards an ontology for optical networks Abstraction of Information

7. Better Provisioning with QoS metrics Measurements from layer 0 up to 4 as parameters for quality metrics Instantaneous feedback from network links instead of indirect reasoning on low throughput Transition from optical circuit networking towards optical packet switching Cross-layer Research

8. What to measure, how to share, where to utilize the measurements Optical Physical Layer Measurements

9. Thank you! dgurkan@uh.edu