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https://issues.apache.org/jira/browse/SAMOA-49?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15407379#comment-15407379
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ASF GitHub Bot commented on SAMOA-49:
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Github user nicolas-kourtellis commented on the issue:
https://github.com/apache/incubator-samoa/pull/55
Hi Bhupesh,
Thanks for your responses. It makes sense indeed.
One more point regarding execution speed:
- Even though things are faster now after the changes, I wonder if they can
be even faster, (always depending on the data).
- Do you think it makes sense to expose any of the windowing parameters
needed in Apex on the higher layer (e.g., to be set by the user at command
line)? In other words, do you think the optimization for the window length,
number of tuples, etc., can be exposed to the user level and tested? Also, any
guide on the values you picked?
- I am asking this because I think depending on the type of data inputted,
the optimization point maybe different and it would be good to be able to find
it at least experimentally.
> Add an Adapter for Apache Apex
> ------------------------------
>
> Key: SAMOA-49
> URL: https://issues.apache.org/jira/browse/SAMOA-49
> Project: SAMOA
> Issue Type: New Feature
> Reporter: Bhupesh Chawda
>
> Apache Apex is a new data-in-motion platform that unifies stream processing
> as well as batch processing. An Apache Apex adapter for Samoa would allow
> users to run streaming machine learning algorithms built on Apache Samoa, on
> Apache Apex platform. This adapter should be able to translate the Apache
> Samoa topologies into Apache Apex DAGs in order to run them on the Apex
> platform.
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