Workshop on Conducting Research on LEARN GENI-LEARN Integration using ORCA Deniz Gurkan, Charles Chambers, Tesfaye Kumbi, Maanasa Madiraju, and Karthik R. Naramuchi University of Houston Feb. 18, 2011 LEARN Workshop GOAL • Attract more researchers utilizing LEARN – Conduct networking and infrastructure research while implementing a GENI infrastructure – Conduct research experiments on the infrastructure – Collaborate on proposals • Create a framework to meet the expectations of researchers and the LEARN network operators LEARN Workshop Special Thanks • Collaborators in GENI • TLC2: Texas Learning and Computation – Cluster D Center • LEARN Community – Akbar Kara – Network engineers – Technical Advisory Group (TAG) • GENI Project Office – Lennart Johnsson • University of Houston – CIO, Dennis Fouty – Network Planning/ Development Team LEARN Workshop Agenda - morning INTRODUCTION and welcome Professor Lennart Johnsson, Director of the Texas Learning and Computation Center, University of Houston LEARN-GENI integration using ORCA as a control framework Deniz Gurkan, Charles Chambers, Tesfaye Kumbi, Karthik Ram Narumanchi, Maanasa Madiraju, Department of Engineering Technology, University of Houston 9 – 9:30: Research support and connection capabilities of LEARN Akbar Kara, LEARN 9:30 – 10: Experimentation on GENI infrastructures - GENI Project Office Perspectives Mark Berman, GENI Project Office 10 – 10:30: ORCA control framework for dynamic VLAN setup and resource reservations Anirban Mandal and Ilia Baldine, RENCI-BEN 10:30 – 11 COFFEE BREAK 11 – 11:30: FutureNets: Designing Architecture, Technology, and Facilities for Multi-Service, Deterministic, Differentiated-Attribute Networks Joe Mambretti, Northwestern University (ICAIR) 11:30 – 12: Demonstration of a research experiment run on a large-scale network infrastructure Michael Zink, University of Massachusetts, Amherst LEARN Workshop Agenda - afternoon 12 -1 pm LUNCH BREAK 1 – 2:30 pm: Researcher and related talks (20 min each) Network performance measurements and cross-layer communication research opportunities on LEARN Deniz Gurkan, Department of Engineering Technology, University of Houston Using GENI to Verify Automatically Synthesized Network Protocols Alex Sprintson and Christopher Jasson Casey, TAMU Network issues relevant to university infrastructures Willis Marti, Texas A&M University WiMax in UNT Shengli Fu and Kamesh Namuduri, University of North Texas Maestro: A System for Scalable OpenFlow Control Zheng Cai, Rice University 2:30 – 3 pm: Open Discussion on Future Activities Outline GENI: Global Environment for Network Innovation • GENI funding – GENI Spiral-1 & Spiral-2 (2008-2012): Measurements, Measurements (with Infinera DTN), Integration with LEARN through ORCA – GENI Spiral-3 (TBA): GENI Rack Deployment on LEARN • Future Plans – GENI Rack Deployments – University of Houston-LEARN DYNES • Follow-up Workshop on GENI and Other Network Research on LEARN UH GENI (2008 – 2012) UH Spiral-1 and Spiral-2 GENI Funding • Spiral-1: – Measurements available on network equipment (embedded or internal measurements) – External measurements – Physical layer emphasis • Spiral-2: – LEARN-Infinera DTN agreement: measurement handler software – Integration of LEARN as a RON into GENI substrate with VLAN offerings - ORCA Introduction to GENI ORCA ORCA (Open Resource Control Architecture) Control Framework • Control/configure network elements (switches, routers, optical boxes) through SSH connections – Resource Broker, Clearinghouse – Measurement and Computational Services as Resources • More on this coming up by Ilia Baldine from RENCI… • ORCA handlers for ION interfaces will be available summer’11 GENI-LEARN Integration Phases of Deployment • GEC9: An emulation network with Cisco 3400s – QinQ demonstration – Handler testing on emulation network • Early Jan’11: Determination of VLAN assignments and translation points • Feb’11: Designation of campus and RON connection points • By GEC10: Ongoing deployment sequence: UH, Rice, TAMU, and UT-Austin QinQ and Handler Testing Lab Emulation UH TAMU RICE UT-Austin VLAN Assignments Translation Points and Interfaces • NLR – LEARN: VLANs from NLR are mapped to reserved range of VLANs on LEARN • SETG (Southeast Gigapop) – LEARN: SETG resources take VLANs from LEARN as a distribution point to other institutions • Institutions – SETG: Each institution has a pair of VLAN id’s for data and management Topology – UH, Rice, and SETG/LEARN SETG@HARDY Cisco 6500 Cisco 6500 Existing UH 10 Gig Trunk interface to include VLAN 3203-3208 10 Gig 10 Gig SETG@UTHSC SETG@UH Cisco 6500 10 Gig UH Cisco 6500 10 Gig Interface to be assigned by SETG for NLR SETG@RICE Cisco 6500 Trunk to include VLAN 3203 & 3204 3400 ORCA USER LEARN RICE SWITCH G0/1 RICE 6500(assumption) T G0/1 3400 ORCA USER G0/3 3400 Trunk to include VLAN 3201 & 3202 UH-TECH End User setup is established in Rice University G0/2 Site Authroity ORCA VLAN 3204(MG MT) Rice G0/2 Topology – SETG/LEARN/NLR, TAMU, and UT UTA TAMU ORCA USER ORCA USER 3400 G0/1 T G0/1 TAMU switch ??? ??? Trunk to include Vlan 3205 & 3206 LEARN SWITCH Cisco 6500 10 Gig Note: All VLAN assigned for sites are to be terminated from individual sites to UH-3400 via existing SETG 10 Gig interface to UH). SETG@HARDY Cisco 6500 T ??? NLR Trunk to include Vlan 3207 & 3208 DATA VLANs: 3201, 3203, 3205, 3207 Management VLANs: 3202, 3204, 3206, 3208 G0/2 3400 G0/2 UTA switch GENI Spiral-3 GENI Racks Deployment on LEARN • Participated in GENI racks (network equipment and high-speed computation resources) proposal with ORCA team at: – TAMU – Rice – UH • Requested funds to pay for LEARN bandwidth • Awards to be announced by mid-2011 Future Outlook LEARN and GENI • LEARN, UH and Rice have been funded by the Internet2 DYNES initiative (TAMU and others might be added) • ORCA-ION handlers – possible extension and added flexibility of connections • Performance measurements as resources on LEARN • Follow-up workshop with more involvement of the Texas-based high performance computing centers and potential researchers and experimenters Thank you! [email protected]
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