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Extending the Measurement Infrastructure of Pipes beyond Abilene

Extending the Measurement Infrastructure of Pipes beyond Abilene. Jeff W. Boote. The Measurement System (4/03). The New Abilene will have measurement devices as part of its structure. Abilene. PMP. PMP. PMP. PMP = Performance Measurement Point (at each Abilene Node).

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Extending the Measurement Infrastructure of Pipes beyond Abilene

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  1. Extending the Measurement Infrastructure of Pipes beyond Abilene Jeff W. Boote

  2. The Measurement System (4/03) The New Abilene will have measurement devices as part of its structure Abilene PMP PMP PMP PMP = Performance Measurement Point (at each Abilene Node)

  3. The Measurement System (4/03) Extend the System to Campuses Campus X Abilene PMP PMP PMP Campus Y PMP PMP PMP at each Campus Border

  4. System Architecture (10/03)

  5. Measurement Domain Definition • A measurement domain is simply a useful construct for centralizing the policy and control issues for a specific group of hosts control here is primarily about defining a specific set of regular tests to run between a specific set of hosts

  6. Single Domain to Multiple Domain adds Complications Who can run a test, between what hosts, and who gets the results? • Results must be able to flow to all authorized, interested parties • Policy • Configuration control • Data flow

  7. Policy Issues • Authentication • Federations of measurements, require federations of authentication and the sharing of trust • Authorization • Federated authentication requires a model where the definitions of “roles” are shared by all parts of the federation

  8. Federated Authentication/Authorization • There are many very good efforts in this area. • Shibboleth, Akenti, GSI, KX509… • That said, it is important that we soon start engaging that community more directly and start fully integrating the work! • Perhaps start with the GSSAPI? • Gives you Kerberos and GSI • What gives us roles?

  9. Configuration Issues • Distributed scheduling better integrates on-demand tests to any point • Distributed scheduling makes management of overall configuration more difficult • Desire to distribute configuration some • Should be able to drop in a new set of hosts to run a particular “experiment” without changing rest of configuration

  10. Use Cases • Full mesh • List of hosts (NxN) • Nearest neighbor • List of peers for a given host (1xN) • One on one • Same as 2 (1x1) • Subset of one domain with subset of another domain • Sparse mesh (JxK) = NxN + !(PxQ)

  11. Want to optimize these organizations • Full Mesh • One node with any group of others • Subset of mesh with subset of another mesh (inter-domain tests) Does this capture most measurement configurations?

  12. System Architecture (10/03)

  13. Data Flow • Peers may want results of test directly • NOC alarms… • Data may need to be collected to a central point before distributing further • Firewalls, aggregation points…

  14. Revised System Architecture (4/04)

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