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PerfsonarUI Performance Experience and New Features Summary

A comprehensive summary of user feedback and new features in PerfsonarUI, including insights on parallel requests, aggregated responses, improved error reporting, and UI enhancements.

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PerfsonarUI Performance Experience and New Features Summary

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  1. PerfsonarUI Performance experience Nina Jeliazkova ISTF Sofia Bulgaria

  2. PerfsonarUI (new features) • User feedback from Cambridge workshop (summary on WIKI) • Parallel requests to services • No support for asynchronous calls in Axis 1.x • Solution – each request in a separate thread • Aggregated requests • Dropping requests • Improved error reporting • Improved user interface • Plug-ins

  3. SetupDataRequests • Sequentially • One query per interface • Slow, multiplication of I/O delay • Aggregated per endpoint • The response can be huge (memory issue) • If one of the interfaces has a configuration problem, all the query fails • Can’t use keys (solved in SVN recently) • Parallel threads • One query per interface • Many threads stress services (!) • The gain is not substantial • Aggregated per endpoint • Same issues as for sequential approach

  4. SetupData response with keys Request Response

  5. Aggregated request (to ISTF-Java MA) Metadata Key Request SetupDataRequest for all interfaces ~40 sec

  6. Parallel requests (to ISTF-Java MA) 79 Setup data requests ~ 2 min Metadata Key Request Services increase the response time and can even crash

  7. Semi - aggregated request (to ISTF-Java MA) Metadata Key Request 3 SetupDataRequest for <=32 interfaces each ~50 sec 2 SetupDataRequest for <=64 interfaces each ~60 sec

  8. Semi - aggregated request (to ISTF, SWITCH, SEEREN-Java MA) Metadata Key Request ISTF (1 request) SWITCH (3 request) SEEREN (1request)

  9. RRD issues • RRD can’t be queried with arbitrary resolutions • The MA service doesn’t have information how RRD was configured • If RRD is configured with high resolution everywhere, the data received by the client will be huge • e.g. 60 sec resolution for the last year = 525600 points, ~ 50 bytes per point = 25 megabytes! • <nmwg:datum timeValue="1158377400" value="0.1234" /> • Memory issues • Axis • Visualization

  10. Possible solutions • Define reasonable defaults for RRD file's structure and mandate that perfSONAR services should support only these well known defaults • easy, but not user friendly; • the defaults already differ between CRICKET, MRTG and CACTI • Implement support for “rrdtool info” in RRD MA and specify queries/responses for exchange of information between RRD MA and clients about available averages/time periods • adds complexity both on the service and client side • Mandate that clients should always retrieve the finest available resolution and perform aggregation only when required - either upon user demand or because of system limitations • wastes bandwidth and CPU cycles; • Mandate that RRD MAs should calculate the requested averages on the fly if a finer than requested resolution is returned by rrdtool • transparent for clients, but would put a heavy burden on the services

  11. Thank you for your attention! Any questions?

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