The tables below didn't come across very well, here it is again in HTML.

Description     Time (ms)
Java startup    451
Create Locator  1720
Create End Point Reference      8
Get Port Type   56
First add()     1399
Min add()       10
Average add()   20.735
Median add()    12
Max add()       1399
StdDev add()    54.70956



        Time (ms)       Throughput (calls/sec)
End-to-End 1 Call       3634    0.275178866
End-to-End 1000 Calls   24348   41.0706882



Ioan

Ioan Raicu wrote:
OK, I just ran some tests on the Math Service, and here are the results for no security, and running both the service and client on identical systems over a 1Gb/s LAN. The systems specs are dual Xeon 2.4GHz with 4GB of RAM (since the tests involved only serial WS calls, I doubt both CPUs were used in these tests). The JVM used was Sun JDK 1.4, and the Linux kernel was 2.4.21-314, and GT4.0.4.

All time measurements are in ms.
Description     Time (ms)
Java startup     451
Create Locator     1720
Create End Point Reference     8
Get Port Type     56
First add()     1399
Min add() - 1000
    10
Average add() - 1000
    20.735
Median add() - 1000
    12
Max add() - 1000
    1399
StdDev add() - 1000
    54.70956


Summary:

    Time (ms)     Throughput (calls/sec)
End-to-End 1 Call     3634     0.275
End-to-End 1000 Calls     24348     41.071


Overall, notice that a single call that involves the entire JVM startup, creation of the EPR, and sending of the 1 WS call takes 3.6 seconds. The very first time I did it with a freshly started container, it took 4.1 seconds, but then the service container JVM probably compiled some of the code needed to run the Math service, cached it, and was likely faster for any subsequent requests, hence the 3.6 seconds +/- .1 seconds for running a single call. Notice that if you do repetitive calls, the performance improves dramatically, getting as low as 10 ms per call... with an overall throughput of 41 calls/sec (instead of 0.3 calls/sec with just 1). In conclusion, your observations of 5 seconds to do a single WS call is OK, not too far off the numbers I measured. If I were you, I'd do a similar test that I did here, and compare your results, and you'll probably learn where the extra 2 seconds are being spent.

Good luck!

Ioan
soumaya marzouk wrote:
I have run the container with no security
and I mesured only the add operation cost in local and I found about 5 seconds
I used a PC with a 3 Ghz processor and 512 Mo of memory.

have you any explanation?
Thank you.

*/Ioan Raicu <[EMAIL PROTECTED]>/* a écrit :

    It all depends whether or not you are using security, and what
    level of security.  It also depends whether or not you are
    measuring the first WS call, or subsequent ones.

    From my experience, here is the kind of performance you can expect
to get between 1 client and 1 service. 1st call subsequent
    calls (on the same stub)
    no security      100s ms ~ 1+ sec      10ms ~ 100ms, depending on
    CPU speed
    security           1~10 secs                  100ms~500ms,
    depending on CPU speed

    High latency can also add to these numbers, if the two hosts are
    not on the same network. From our observations, the client side
    seems to be more CPU intensive that service side, so if you are
    running 1 client to 1 service, I would put the more powerful CPU
    on the client side.

    The one thing to keep in mind, is that you can fit a lot of
    information in a WS call before you start to see slowdowns in the
    numbers.  That means that the cost to send a WS message with a
    single int as a value, and the cost to send a WS message that has
    an array of 10s of complex objects is about the same.  You can
    also get a lot of parallelism going, many times handling dozens of
    concurrent WS calls without any impact on the per WS call
    performance.
    Just to get an idea, on a dual Xeon 3GHz machine we use for
    testing, we can get between 50 and 500 WS calls per second,
    depending on the security level used; these numbers are reached
    when we are able to saturate the GT service container, and that
    happens when we have about 16~32 nodes concurrently generating WS
    calls.  Some of these numbers are present in a recent paper of
    ours
http://people.cs.uchicago.edu/~iraicu/publications/2007_SC07_Falkon.pdf.

    Cheers,
    Ioan

    soumaya marzouk wrote:
    Hi,
    I tried to call the add operation of the first Math Service
    examples. I find that it takes about 5second to be executed in
    local using a 1,7GHz centrino processor and 1Go of RAM.
    Could you explain this long latency and how could I improve this
    time.
         Thank you.
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    --     ==================================================
    Ioan Raicu
    Ph.D. Candidate
    ==================================================
    Distributed Systems Laboratory
    Computer Science Department
    University of Chicago
    1100 E. 58th Street, Ryerson Hall
    Chicago, IL 60637
    ==================================================
Email: [EMAIL PROTECTED] Web: http://www.cs.uchicago.edu/~iraicu http://dev.globus.org/wiki/Incubator/Falkon http://www.ci.uchicago.edu/wiki/bin/view/VDS/DslCS ================================================== ==================================================
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--
==================================================
Ioan Raicu
Ph.D. Candidate
==================================================
Distributed Systems Laboratory
Computer Science Department
University of Chicago
1100 E. 58th Street, Ryerson Hall
Chicago, IL 60637
==================================================
Email: [EMAIL PROTECTED]
Web:   http://www.cs.uchicago.edu/~iraicu
http://dev.globus.org/wiki/Incubator/Falkon
http://www.ci.uchicago.edu/wiki/bin/view/VDS/DslCS
==================================================
==================================================


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