Tasks

1) Debug supriya's code
2) Findout if we can model using probabilistic generation of output generated on oct19
3) Completely read those papers on modeling of J2EE applications
4) Install petstore and Duke's bank applications
5) Look for performace modeling of caches
6) predict performance of CPU scaling enabled application.

petstore installation

-->install netbeans
--->install JDK 6
--->type java EE in synaptic manager , u will get glass fish server install it
--> download javapetstore-2.0-ea5-installer.jar
then type java -jar javapetstore-2.0-ea5-installer.jar
--> /var/lib/sunappserver/domains/domain1/docroot is the place where data is kept
links
-->/usr/share/sunappserver is javeesdk.home
https://blueprints.dev.java.net/servlets/ProjectDocumentList?folderID=3350&expandFolder=3350&folderID=0
https://blueprints.dev.java.net/petstore/
https://blueprints.dev.java.net/petstore/usingnetbeans.html

october10

Don't know results are turning about to be correct.

There was some problem with analytical solution, results compared was not correct.

october6---one more worst day

I have been in lab from 2:30...could not proceed a bit..it seems when i remove cache...I can have predicatble answers..

Frequency scaling links

http://www.thinkwiki.org/wiki/How_to_make_use_of_Dynamic_Frequency_Scaling

work on sep 30

started at 9:30 so as to verify the results..interestingly found that addentry was working correctly. Wanted to test if we can generalize to any sequence diagram...

I will try to prove theoretically if we can check this out

work on sept 23

Plan
1) compare response time given by autoperf and httperf with no of users =1 for both view entry and write entry
2) check if we can measure the response time for Login transactions, problem was it wasn't calling week.php, if we do login
3) Finally do measure response time for viewEntrybyWeek transaction and write Entry transaction, login using httperf and autoperf.(p 1hour)
4) check out how service demand is being calculated for database server in autoperf. i.e why service demand went on increased (p3 hours )
5)check out tracers for both php and autoperf(p1 hour)
*
1) There was a problem that httperf output had 4XX=20. the problem was with input scripts written by me.
Httperf results with 1 req/sec is 108.8 ms
autoperf results with 1 req/s is 156 ms keeping thinktime 0.85 ms and utilization of webserver is 14 % and utilization of database is 0.97 % based on sar. but autoperf shows 14% and 0 % may be it cannot capture at this level
*autoperf results with 1 req/s is 165 at think time 1s
2) login.php , mistake done was assuming that ${y} generated in a particular transaction is constant. It is working, so we have three transactions login, viewentry, addentry on which i can measure performance.
3)I can do it so I will finish it off tonight and check results
4)
additional points:
I think, measurement of service demand at mysql from autoperf is wrong, so i am planning to measure the performance by writing some sample PHP which has all the sql queries in it. so it is similar to normal viewentry.
5)i may have to work on eclipse for autoperf, but what about tracer on autoperf-linux profiler and there are php debuggers

worked for 3 1/2 hours

started working from 9 in the evening..
Ran for login scenario on autoperf