Optimising IoT bandwidth with delta updates




from Optimising IoT bandwidth with delta updates
by IoT Now Magazine
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With more devices connecting to the internet as part of the ever-evolving and growing IoT industry, the demands on bandwidth increase in parallel. For any organisation deploying devices in the field, consideration needs to be given to the amount and frequency of data that will be transmitted to and from the device back to the cloud for analysis. In situations where those devices could start to grow into the thousands and beyond, the cost of transferring such data has the possibility to escalate quickly. In addition, the increased volume of data being transferred could reduce the IoT solution’s effectiveness by creating a high latency environment.

The effect of potential bandwidth and latency problems will vary between use cases depending on data transfer frequency and volume. Due to IoT solutions being so diverse in their nature, in many scenarios data transfer times may not be time critical and data payloads so small that high latency isn’t a significant concern. However, all organisations should consider an optimum mechanism in which to transfer data in the most resourceful and cost-effective way possible and to suit their specific requirements.

The data in question isn’t just that which drives new insight and value to businesses but also that which is needed to keep remote device operating systems up to date, secure, and running the latest applications. And for that purpose, deploying software where only the delta change is updated rather than the whole application is a much more attractive option. Snaps, the universal Linux application packaging format, features exactly this attribute. As snaps run on over 40 Linux flavours and with Linux such a popular choice for embedded devices, snaps provide the necessary requirements to deploy various types of software in IoT environments.

This whitepaper will explore snap deltas in more detail including use cases of how over-the-air (OTA) updates can be delivered efficiently to IoT devices automatically, reducing bandwidth requirements while effectively deploying software updates.

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