1. Interoperable Measurement Frameworks: Joint Monitoring of GEANT & Abilene Eric L. Boyd, Internet2 Nicolas Simar, DANTE

2. 2 Overview  Internet2 E2E piPEs  Geant2 Joint Research Activity 1  Joint Monitoring of GEANT & Abilene  Measurement Domain and Framework Interoperability and Collaboration

3. 3 Internet2 E2E piPEs Overview  What is piPEs?  Goals  E2E piPEs Measurement Infrastructure  Abilene Measurement Domain

4. 4 Internet2 E2E piPEs  Project: End-to-End Performance Initiative Performance Environment System (E2E piPEs)  Approach: Collaborative project combining the best work of many organizations, including DANTE/GEANT, EGEE, GGF NMWG, NLANR/DAST, UCL, Georgia Tech, etc.

5. 5 Internet2 E2E piPEs Goals  Enable end-users & network operators to: determine E2E performance capabilities locate E2E problems contact the right person to get an E2E problem resolved.  Enable remote initiation of partial path performance tests  Make partial path performance data publicly available  Interoperable with other performance measurement frameworks

6. 6 Measurement Infrastructure Components

7. 7 Sample piPEs Deployment

8. 8 piPEs Deployment 1) Abilene Backbone Deployment (Complete) Hawaii 2) Hawaii Campus Deployment (Complete) OSU NC State Europe UCSD 3) In Progress Campus and European Deployment (Q1 2004)

9. 9 Measurement Software Components

10. 10 Abilene Measurement Domain  Part of the Abilene Observatory: http://abilene.internet2.edu/observatory  Regularly scheduled OWAMP (1-way latency) and BWCTL (Iperf wrapper) Tests  Web pages displaying: Latest results http://abilene.internet2.edu/ami/bwctl_status.cgi/TCP/now “Weathermap” http://abilene.internet2.edu/ami/bwctl_status_map.cgi/TCP/now http://abilene.internet2.edu/ami/bwctl_status.cgi/TCP/now http://abilene.internet2.edu/ami/bwctl_status_map.cgi/TCP/now Worst 10 Performing Links http://abilene.internet2.edu/ami/bwctl_worst_case.cgi/TCP/now http://abilene.internet2.edu/ami/bwctl_worst_case.cgi/TCP/now  Data available via web service: http://abilene.internet2.edu/ami/webservices.html

11. 11 Data Collection / Correlation  Collection Today: Iperf (Throughput) OWAMP (1-Way Latency, Loss) SNMP Data Anonymized Netflow Data Per Sender, Per Receiver, Per Node Pair IPv4 and IPv6  Collection in the Future NTP (Data) Traceroute BGP Data First Mile Analysis  Correlation Today: “Worst 10” Throughputs “Worst 10” Latencies  Correlation in the Future: 99 th Percentile Throughput over Time Throughput/Loss for all E2E paths using a specific link Commonalities among first mile analyzers Sum of Partial Paths vs. Whole Path

12. 12 Data Analysis  Analysis Today: Throughput over Time Latency over Time Loss over Time Worrisome Tests? (Any bad apples in “Worst Ten”?) “Not the Network” (If “Worst Ten” is good enough)  Analysis in the Future: Latency vs. Loss How good is the network? Do common first mile problems exist? Does a link have problems that only manifest in the long- haul? Is the network delivering the performance required by a funded project?

13. 13 Data Discovery / Interoperability  Discovery in the Future: Where are the measurement nodes corresponding to a specific node? Where are the test results for a specific partial path?  Interoperability in the Future: Can I have a test within or to another measurement framework? Can I have a measurement result from within or to another measurement framework?

14. 14 Overview  Internet2 E2E piPEs  Geant2 Joint Research Activity 1  Joint Monitoring of GEANT & Abilene  Measurement Domain and Framework Interoperability and Collaboration

15. 15 GN2 JRA1 - Performance Monitoring and Management  3 year project, starting in September 2004 (15 European NRENs and DANTE involved).  Development of a Performance Monitoring infrastructure operating across multiple domains  User can access data from different domains in a uniform way and start on- demand tests.

16. 16 Goals  Make network management and performance information from different domains available to various authorised user communities GÉANT, NRENs, Regional networks NOCs PERT - Performance Enhancement Response Team high data volume transfer users (as GRID) end-user who would like to see or understand the E2E behaviour of R&D networks.

17. 17 Goals  Multi-domain focus, interoperable with other frameworks.  Tailor data representation for a subset of users.  Modify existing tools and integrate them within the infrastructure.

18. 18 GN2 Framework Layers

19. 19  Activity will focus in five areas: One-way delay, IPDV and traceroute Available Bandwidth (IP for sure, TCP/UDP less sure) Flow Based Traffic Measurement Passive Monitoring Network Equipment information  Quite IP-centric. Measurement Points and Metric

20. 20 Domain Controller  Ensure that different monitoring agents deployed in the various domains can inter-operate and be queried in the same way by User Interface instances independently of their localisation.  High level functionality: provide the user interface, AA, Resource discovery (pathfinder), negotiate test, interface with other domain/framework

21. 21 User Interface  A User Interface retrieves data from different domains and tailors the data representation to a specific group of user.  Targets NOC, PERT and generic end- user. Topology based view SLA verification

22. 22 Starting Point  Starts from GN1 Performance Monitoring framework (data retrieval, storage and export using a well define interface) and take into account other experiences.  Uses NRENs experience in tool development.  Need to take into account the variety of tools and metric existing across the NRENs

23. 23 Overview  Internet2 E2E piPEs  Geant2 Joint Research Activity 1  Joint Monitoring of GEANT & Abilene  Measurement Domain and Framework Interoperability and Collaboration

24. 24 American/European Collaboration Goals  Awareness of ongoing Measurement Framework Efforts / Sharing of Ideas (Good / Not Sufficient)  Interoperable Measurement Frameworks (Minimum) Common means of data extraction Partial path analysis possible along transatlantic paths  Open Source Shared Development (Possibility, In Whole or In Part)  End-to-end partial path analysis for transatlantic research communities VLBI: Onsala, Sweden  Haystack, Mass. HENP: CERN, Switzerland  Caltech, Calif.

25. 25 American/European Demonstration Goals  Demonstrate ability to do partial path analysis between “Caltech” (Los Angeles Abilene router) and CERN.  Demonstrate ability to do partial path analysis involving nodes in the GEANT network.  Compare and contrast measurement of a “lightpath” versus a normal IP path.  Demonstrate interoperability of piPEs and analysis tools such as Advisor and MonALISA

26. 26 Demonstration Details  Path 1: Default route between LA and CERN is across Abilene to Chicago, then across Datatag circuit to CERN  Path 2: Announced addresses so that route between LA and CERN traverses GEANT via London node  Path 3: “Lightpath” (discussed earlier by Rick Summerhill)  Each measurement “node” consists of a BWCTL box and an OWAMP box “next to” the router.

27. 27 All Roads Lead to Geneva

28. 28 Results  BWCTL: http://abilene.internet2.edu/ami/bwctl_st atus_eu.cgi/BW/now http://abilene.internet2.edu/ami/bwctl_st atus_eu.cgi/BW/now  OWAMP: http://abilene.internet2.edu/ami/owamp_ status_eu.cgi/now http://abilene.internet2.edu/ami/owamp_ status_eu.cgi/now  MONALISA: http://vinci.cacr.caltech.edu:8080 http://vinci.cacr.caltech.edu:8080  NLANR Advisor

29. 29 Insights (1)  Even with shared source and a single team of developer-installers, inter-administrative domain coordination is difficult. Struggled with basics of multiple paths. ­IP addresses, host configuration, software (support source addresses, etc.) Struggled with cross-domain administrative coordination issues. ­AA (accounts), routes, port filters, MTUs, etc. Struggled with performance tuning measurement nodes. ­host tuning, asymmetric routing, MTUs

30. 30 Insights (2)  Connectivity takes a large amount of coordination and effort; performance takes even more of the same.  Current measurement approaches have limited visibility into “lightpaths.” Having hosts participate in the measurement is one possible solution.

31. 31 Insights (3)  Consider interaction with security; lack of end-to-end transparency is problematic. Security filters are set up based on expected traffic patterns Measurement nodes create new traffic Lightpaths bypass expected ingress points

32. 32 Next Steps for Internet2 E2E, GN2 JRA1, and EGEE  To be decided …  Transatlantic Performance Monitoring Workshop, CERN, May 17, 2004 Sharing of ideas Determining areas of overlap Determining degree of collaboration  Construct trial OWAMP and BWCTL measurement domain at GEANT nodes

33. 33 Overview  Internet2 E2E piPEs  Geant2 Joint Research Activity 1  Joint Monitoring of GEANT & Abilene  Measurement Domain and Framework Interoperability and Collaboration

34. 34 Measurement Infrastructure Federation  Why a Federation? Multiple measurement frameworks in existence and under development (piPEs, NLANR Advisor, NLANR AMP, etc.). No static “best practice” measurement framework is likely to emerge, given academics being academics. Future measurement frameworks can build on shoulders of current efforts, not feet.  Performance Measurement Architecture Workshop (NSF Grant # ANI-0314723)

35. 35 Measurement Infrastructure Federation Interfaces

36. 36 Measurement Infrastructure Federation Requirements  Agreement on Characteristic Names  Access and Authentication  Discovery (Measurement Frameworks, Domains, Nodes, Databases)  Test/Data Request Schema  Result Report Schema  Inter-Framework Tests  Resource Allocation Broker for Tools  Concatenation of Homogeneous Characteristics Results Gathered by Heterogeneous Tools

37. 37 GGF Network Measurement Working Group  Hierarchy of Network Performance Characteristics  Request Schema Requirements and Sample Implementation  Report Schema Requirements and Sample Implementation

38. 38 Establishing a Performance Measurement Mesh Issues include: Scheduling in the presence of scarce resources Making the tool bidirectional Adding security Ensuring correct source/target pairs Data collection / mining / analysis / display Example: BWCTL for Iperf plus prototype PMD

39. 39 Open Research Issues  Access and Authentication  Discovery of Measurement Nodes (“Super-Traceroute”)  Discovery of Measurement Databases  Inter-framework Testing  Compilation of results on partial paths  Normalization of identical characteristics gathered by heterogenous tools

40. 40 Conclusions  We can do partial path analysis, although making sense of the results is still a big issue.  We can speak the same measurement language, although it’s still evolving.  We are working together in growing numbers, but we need critical mass (become de facto standard).  We need to be able to find each other.  We need to be able to verify each other’s identity.

41. 41 Feedback  Are we on the right track? (As conceptualized, would our individual and joint goals meet the needs of the DataTag community?)  What’s missing?  What is of particular importance?