Call for Papers - Embedded World 2023
Patrick Hopper
Publisher, President #Influencer @ OpenSystems Media | Embedded | AI | IoT | Military | Aerospace
We invite you to contribute your talk/technical paper or class to the 21st edition of the embedded world Conference 2023 in Nuremberg. The event is dedicated to all aspects of the development and application of embedded systems, from fundamental technologies to development processes and special fields of applications. It is one of the essential strengths of the event to be cross-sectoral and interdisciplinary. The conference brings together experts from different domains and application areas of embedded systems in order to promote a holistic system design approach, to identify synergies, and to strengthen the exchange of knowledge and experiences.
The audience are competent, knowledge-hungry embedded system developers, specialists, and project and product managers, who look for an intense exchange of ideas with the community.
How to Scale IoT Past Distributed Data Silos with the Zenoh Protocol
By Brandon Lewis, Embedded Computing Design
Remember the good ol' days when you could connect a sensor to the network and pipe all its data straight into the cloud? Well, things have fundamentally changed.
To reduce latency, network utilization, and cost, many IoT deployments now store and analyze data at or near the edge node. But “distributed” can be a bad thing when it comes to data, particularly if it means information gets trapped in silos across a network.
So what happens when you inevitably need it?
Let’s start at the data source. For data in motion, technologies built around publish-subscribe tenets were designed to deal with this type of environment. In a publish-subscribe network like #mqtt or #dds , data related to a given topic is broadcast by a publisher across the network, and nodes on the network subscribe to that topic for updates. This promotes decentralized data networking that maps nicely to the evolution of #iotconnectivity networks, as well as the broader #networkinfrastructure considering 5G networks deploy 1.4-2x base stations compared to 4G to support the increase in edge workloads.
At their best, protocols like MQTT and DDS run over #tcp or #udp in homogeneous environments with little-to-no packet loss and a high degree of endpoint fanout. This allows them to transmit messages from node to node at high speed with minimal overhead. But as tools for data in motion, what they don’t provide is a built-in, location-aware data retrieval mechanism as they were designed to push one message and move on to the next.
For data at rest, technologies like named-data networking (NDN) provide similar data centricity by allowing packets to be labeled something other than just their destination address. Packets, which can be named anything, are cached in location-aware content stores that give users the opportunity to access them post-transmission by querying the designated label. However, NDN was designed as an Internet technology, which doesn’t fit well with the latency and resource-constrained environments of many end applications.
This means IoT developers must support multiple connectivity stacks to distribute and retrieve data in a performance-, resource-, and latency-sensitive manner.
Unifying Data in Motion and At Rest from Edge to Cloud
Since the inception of IoT, the goal has been to unify data distribution and retrieval architectures under a single enterprise-to-edge paradigm rather than patch together heterogeneous platforms and technology stacks. ZettaScale Technology was founded earlier this year to bridge the gap, in part through an #opensource technology called #Zenoh, hosted by the Eclipse Foundation.