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Support for streaming data on an edge device #38
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I just looked through source some more. I suppose it'd be fairly easy just to build this container ourselves from the repo here - I just noticed you have the Dockerfile included. You've started from Ubuntu; could a stripped down OS (eg. Alpine) work as well? What OS features are required to make BTrDB work? |
The only thing BTrDB needs to run AFAIK is librados. We start from ubuntu because we like logging in to containers and having a familiar environment while debugging. |
We're currently working on an ARM 7 Cortex Odroid implementation that has even less resources available than your edge version. Please keep us updated on your progress and we will do the same. |
OK thanks, that’s good to know. We have a lot to put on the edge host so we’re going as light as possible. We will keep you updated as we go.
Keith Nordstrom, PhD.
Founding Partner and Chief Technology Officer
Timeli Software
keith.nordstrom@timeli.io
… On Mar 21, 2017, at 12:37 PM, Jerry Schuman ***@***.***> wrote:
We're currently working on an ARM 7 Cortex Odroid implementation that has even less resources available than your edge version. Please keep us updated on your progress and we will do the same.
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Thanks Michael, appreciate the info. I’ll get back to you if I run into anything that indicates otherwise.
Keith Nordstrom, PhD.
Founding Partner and Chief Technology Officer
Timeli Software
keith.nordstrom@timeli.io
… On Mar 21, 2017, at 12:08 PM, Michael Andersen ***@***.***> wrote:
The only thing BTrDB needs to run AFAIK is librados. We start from ubuntu because we like logging in to containers and having a familiar environment while debugging.
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We are evaluating BTrDB (and others) with an eye towards using it as short-term storage (~1 day) on an edge device. Such a device would be a linux server with limited memory and CPU (2-4 cores, 4-8 GB) and would typically be responsible for ingesting data at machine resolution. The simple nature of what was described on the readme for the 3.x distro therefore appealed; and having read the Berkeley paper, this paradigm seems the most promising to us for time series acquisition. A stripped down container with perhaps clustering ability and (ideally) some method for expiring data, particularly at fine-grained levels, would be ideal.
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