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Apps related to the RAIN workloads #13

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sguazt opened this issue Oct 25, 2013 · 4 comments
Open

Apps related to the RAIN workloads #13

sguazt opened this issue Oct 25, 2013 · 4 comments

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@sguazt
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sguazt commented Oct 25, 2013

Hello,

In RAIN, there are many workloads (daytrader, scadr, scads, mapreduce, s3, ...).
I'd like to experiment with some of them, but unfortunately I cannot find information about the application against which they can be run.
Only few of them seems to relate to specific and well-known applications, like rubis (which is the workload for the OW2 RUBiS application) and olio (which is the workload for the Apache Olio application).

What about the others?

Thank you very much!

Best,

-- Marco

@rean
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rean commented Oct 29, 2013

Hi Marco,

DayTrader is a benchmark from IBM, details can be found here: and source
code can be checked out via:
http://geronimo.apache.org/GMOxDOC22/daytrader-a-more-complex-application.html#daytrader-amorecomplexapplication-Gettingthesource

svn co http://svn.apache.org/repos/asf/geronimo/daytrader/trunk/
<daytrader_home>

scadr is a test app built in the RAD Lab, it can be found here:
https://github.com/radlab/scadr

scads is a storage system built in the RAD Lab, it can be found here:
https://github.com/radlab/SCADS/

mapreduce refers to Apache MapReduce (v1.x), see:
http://hadoop.apache.org/#Download+Hadoop. You may want to consider
using SWIM
(https://github.com/SWIMProjectUCB/SWIM/wiki/Performance-measurement-by-executing-synthetic-or-historical-workloads),
instead of Rain for MapReduce evaluations. We designed SWIM specifically
for MapReduce.

s3 refers to Amazon S3 (http://aws.amazon.com/s3/) or any s3 compatible
storage system (). To run workloads against Amazon S3 you will need to
put your Amazon credentials (awsAccessKey and awsSecretKey) into the
aws.properties.

Hope this helps,
Rean

On 10/25/2013 01:30 AM, Marco Guazzone wrote:

Hello,

In RAIN, there are many workloads (daytrader, scadr, scads, mapreduce, s3, ...).
I'd like to experiment with some of them, but unfortunately I cannot find information about the application against which they can be run.
Only few of them seems to relate to specific and well-known applications, like rubis (which is the workload for the OW2 RUBiS application) and olio (which is the workload for the Apache Olio application).

What about the others?

Thank you very much!

Best,

-- Marco


Reply to this email directly or view it on GitHub:
#13

@sguazt
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sguazt commented Oct 30, 2013

Hi Rean,

Thank you for the useful info.
It would be great if for each workload managed by RAIN there is a specific README file containing such type of info.
E.g.,
src/radlab/rain/workload/daytrader/README.textile
src/radlab/rain/workload/scadrREADME.textile

This is very helpful for RAIN users (IMHO).

In my fork of RAIN, I'm working on the RUBiS and Olio workloads and I'm considering to create such files.
Currently, it's already done for RUBiS (https://github.com/sguazt/rain-workload-toolkit/blob/wkl-rubis-compliant/src/radlab/rain/workload/rubis/README.md)

Cheers,

-- Marco

@rean
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rean commented Nov 3, 2013

Hi Marco,

This sounds like a good idea. Thanks for the suggestion. I will work on
these over the next week or so.

Thanks also for the pull requests you sent. I have merged them in.
Rean

On 10/30/2013 03:24 AM, Marco Guazzone wrote:

Hi Rean,

Thank you for the useful info.
It would be great if for each workload managed by RAIN there is a specific README file containing such type of info.
E.g.,
src/radlab/rain/workload/daytrader/README.textile
src/radlab/rain/workload/scadrREADME.textile

This is very helpful for RAIN users (IMHO).

In my fork of RAIN, I'm working on the RUBiS and Olio workloads and I'm considering to create such files.
Currently, it's already done for RUBiS (https://github.com/sguazt/rain-workload-toolkit/blob/wkl-rubis-compliant/src/radlab/rain/workload/rubis/README.md)

Cheers,

-- Marco


Reply to this email directly or view it on GitHub:
#13 (comment)

@sguazt
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sguazt commented Nov 3, 2013

Hi Rean,

You're welcome and thanks for your work!

-- Marco

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