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Virtualization for Support of Multiple Experiments on the ORBIT Radio Grid Testbed

Virtualization for Support of Multiple Experiments on the ORBIT Radio Grid Testbed. Ivan Seskar WINLAB, Rutgers University seskar@winlab.rutgers.edu. GRID Virtualization. Support concurrent experiments Support both short-term and long-term service experiments

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Virtualization for Support of Multiple Experiments on the ORBIT Radio Grid Testbed

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  1. Virtualization for Support of Multiple Experiments on the ORBIT Radio Grid Testbed Ivan Seskar WINLAB, Rutgers University seskar@winlab.rutgers.edu

  2. GRID Virtualization • Support concurrent experiments • Support both short-term and long-term service experiments • Allow fine-grained control over radio parameters and topology • Combination of methods • Partitioning a node in Frequency domain (FDMA) • Partitioning a node in Time domain (TDMA) • Partitioning nodes by using “spatial” separation (SDMA?) • Combination of the above

  3. Slice 1 Slice 2 Console 1 Console 4 Console 3 Console 2 Slice 3 Slice 4 Spatial Virtualization • Virtual console support (Xen with 4 instances) • Full isolation on wired side (VLAN) • New resource allocation/management service needed for propper isolation on wireless side

  4. “Logical Virtualization” - VMAC • AP is shared among experiments • Fixed topology • Clients can’t be shared Access Point Access Point Ch. y Virtual Access Point 2 Virtual Access Point 1 Ch. y Ch. x Essid:1 Essid:2 Exp. 2 Exp. 1 Essid:1 Essid:2 Exp. 2 Exp. 1

  5. Logical Virtualization – VMAC (contd.)

  6. “Frequency Division” Two (multiple) concurrent experiments by using two (multiple) interfaces • UML for node virtualization • Frequency coordination service needed Exp. 1 Exp. 1 Exp. 2 Exp. 2

  7. “Frequency Division” (contd.)

  8. “Frequency Division” (contd.)

  9. sliver GRE sliver GRE Planet Lab Integration Orbit Nodes PlanetLab (VICI) Node PL-Orbit Proxy GRE sliver GRE

  10. Planet Lab Integration (contd.) Orbit Nodes PlanetLab (VINI) Nodes Orbit Gateway AP1 GRE GRE GRE GRE AP2

  11. Conclusions “Bulletproof” solution need to address: • Resource management issues • Local (on the node) • Global (across the grid) • Network wide • Resource availability • Access control (for all support services) • Internetwork/Gateway/Proxy functions for both data and control paths Similarities with cognitive radio challenges

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