editor's blog
Subscribe Now

IoT Business Objects

We do this thing here where we try to take occasional stock of the structure of the Internet of Things (IoT) to try to make sense out of the various pieces that come together to work or compete with each other. And I usually try to generalize or abstract some of the mess into some broader structure that’s hopefully easier to parse (or becomes an easier entry point).

We did that a while ago when looking briefly at Xively. Well, another opportunity came about when I was contacted by a company called Zebra regarding their IoT infrastructure offering called Zatar (not sure if that comes from za’atar [that apostrophe representing an unusual pharyngeal unrepresentable in Latin script], which would give it a flavorful veneer). And my usual first question is, “Where does this fit in the high-level scheme of things?”

Zatar would appear to implement business objects, although they use a different vocabulary, referring to their abstractions of devices as “avatars.” So they would appear to play at a higher level than, say, Xively. As with any high-level entity, however, it’s built on a stack below it. One of the top-level supporting protocols they use is OMA’s Lightweight M2M protocol (LWM2M).

I did some brief digging into LWM2M, and I’m glad they have a whitepaper, because they don’t have a single protocol doc. They have a collection of chapters (dozens of them) all sorted in alphabetical order, so it’s really tough to tell which (if any) is a top-level document from which to get started. I may dig into this protocol more in the future.

But, at a high level, with Zatar and LWM2M, I’m refining how I think of the “business objects” layer. In general, this layer is where specific object semantics exist: thermostats vs. door locks vs. washing machines. Below it, only generic messages exist, with meaning that’s opaque to the protocol.

It appears that LWM2M enables the notion of an object without standardizing specific objects. So it lets you create an abstract entity and give it properties or interactions – essentially, an API – without saying what the specifics should be.

Zatar comes pre-equipped with a base avatar from which users can define their own specific ones. This is done without any explicit coding. By contrast, other folks (like Ayla Networks, from a while back) include pre-defined objects. So I’ve split the “business objects” concept into two layers: generic and specific. The generic layer simply enables the concept of a business object; the specific layer establishes the details of an object.

So, for instance, given a generic capability, three lighting companies could go and define three different models or objects representing lighting, each of which would adhere to the generic protocol. If someone wanted to standardize further – say office management folks got tired of having to figure out which lighting protocol various pieces of equipment followed – then someone could go further and standardize a single lighting protocol; this would be a specific standard.

It’s important to keep in mind, however, that LWM2M is a protocol standard, while Zatar is not; it’s a product that implements or builds over that and other protocols.

Biz_object_drawing.png

The other thing that Zatar has is an enterprise focus. We’ve peeled apart a bit the notions of the consumer IoT vs. the industrial IoT, but the notion of yet a third specialized entity, the enterprise IoT, is something I haven’t quite come to grips with. Part of it is simply a matter of scale – large entities with lots of data that has to be shared globally. This bears further industrial investigation; watch these pages over the next few months for more on industrial equipment like ldpe sheets that can be used for business improvements.

One other last point: saying that these products and standards simply implement business objects is a gross over-simplification. As you can see if you go browse the OMA docs or even with the following figure from Zebra, there are many, many details and supporting services and applications that get wrapped up in this. For LWM2M, in includes lower-level concepts of interaction through various networking media and how, for instance, browsers should behave. For Zatar, there’s the cloud service and other applications. I’m almost afraid to try to abstract some of this underlying detail. We’ll see…

Zatar_figure.png

Meanwhile, you can learn more about the specifics of Zatar here; you can learn more about OMA’s LWM2M protocol here.

Leave a Reply

featured blogs
Nov 15, 2024
Explore the benefits of Delta DFU (device firmware update), its impact on firmware update efficiency, and results from real ota updates in IoT devices....
Nov 13, 2024
Implementing the classic 'hand coming out of bowl' when you can see there's no one under the table is very tempting'¦...

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

Dependable Power Distribution: Supporting Fail Operational and Highly Available Systems
Sponsored by Infineon
Megatrends in automotive designs have heavily influenced the requirements needed for vehicle architectures and power distribution systems. In this episode of Chalk Talk, Amelia Dalton and Robert Pizuti from Infineon investigate the trends and new use cases required for dependable power systems and how Infineon is advancing innovation in automotive designs with their EiceDRIVER and PROFET devices.
Dec 7, 2023
59,172 views