• [KB6NU] Amazon experimenting with amateur radio?

    From KB6NU via rec.radio.amateur.moderat@21:1/5 to All on Mon Oct 4 12:54:17 2021
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    KB6NU's Ham Radio Blog

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    Amazon experimenting with amateur radio?

    Posted: 04 Oct 2021 06:48 AM PDT http://feedproxy.google.com/~r/kb6nu/tVpu/~3/hMIswRN8Wns/?utm_source=feedburner&utm_medium=email


    Heres an interesting post on the Amazon Web Services (AWS) Public Sector
    Blog: Amateur radio meets edge computing to keep disaster response teams connected. The post describes how the  Amazon Web Services (AWS) Disaster Response team,  conducted a field testing operation designed to replicate a common disaster response scenario.
    Click to see a full-size image.

    Held in Northern Virginia, it included forward-deployed field locations (at/near the disaster site) and a headquarters location (HQ) that was more
    than 25 miles away. The field sites had minimal working infrastructure and
    no cellular or internet connectivity, and the HQ was an office building
    with standard internet access and stable infrastructure. The goal of the exercise was to establish an ad-hoc network at the field sites that allowed team members to collect and process data at the edge, as well as create a
    link between the field site and HQ using the Amateur Radio Emergency Data Network (AREDN) to provide access to cloud-based resources in the field.

    Its interesting that this test used both Amazon hardware and software. The Amazon hardware they used is the Amazon Snowball Edge, which they describe
    as a data migration and edge computing device. Snowball Edge Storage
    Optimized devices provide 40 vCPUs of compute capacity coupled with 80 terabytes of usable block or Amazon S3-compatible object storage. It is well-suited for local storage and large-scale data transfer. Snowball Edge Compute Optimized devices provide 52 vCPUs, 42 terabytes of usable block or object storage, and an optional GPU for use cases such as advanced machine learning and full motion video analysis in disconnected environments.

    They also used Amazon Rekognition, a machine learning (ML) service that
    detects and labels objects in images and video. To use Rekognition, the
    test used a custom app that was hosted on the Snowball Edge at the HQ
    location. This  app sent images to Amazon Rekognition for object detection. Users at the field site were able to upload photos from a variety of
    devices including mobile phones, UAV platforms, and laptops.

    Of course, Amazon isnt doing this out of the goodness of their heart. The
    post concludes:

    AWS offers multiple programs for nonprofits to get started on the cloud, including the AWS Nonprofit Credit Program, which helps organizations
    offset the costs of implementing cloud-based solutions. Apply for the AWS Nonprofit Credit Program to start your journey with AWS.

    I didnt investigate how much the hardware and web services cost, so I dont
    know if this makes sense for emergency communications groups with an AREDN network. I think that the idea is interesting, though, and it might be
    worth implementing this kind of functionality using other hardware and software. If you know of any AREDN networks that have implemented this kind
    of functionality, or are working on it, please let me know.

    The post Amazon experimenting with amateur radio? appeared first on KB6NUs
    Ham Radio Blog.

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