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For more Information, please go to: https://wikilf-akraino.akrainoatlassian.orgnet/wiki/x/Qi0wAwJ5fQ
IEC Type3 Android Cloud R6
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For more details, please click the link：https://wikilf-akraino.akrainoatlassian.orgnet/wiki/display/AK/Release+6+Documentation+for+IEC+Type+3%3A+Android+cloud+native+applications+on+Arm+servers+in+edge
Smart Data Transactions for CPS
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Oleg Berzin Jim Xu (Deactivated)
Edge is becoming new norm enabling innovations across multiple industries. Akraino is a set of open infrastructures and application blueprints for the Edge, spanning a broad variety of use cases, including 5G, AI, Edge IaaS/PaaS, IoT, for both provider and enterprise edge domains. These Blueprints have been created by the Akraino community and focus exclusively on the edge in all of its different forms. What unites all of these blueprints is that they have been tested by the community and are ready for adoption as-is, or used as a starting point for customizing a new edge blueprint.
More information, please refer to https://www.lfedge.org/projects/akraino/.
Android Cloud
Overview
Learn how Robox is deployed in the ysemi test lab. In this new example, the deployment of robox to the ysemi test lab is shown, and the cloud gaming platform can
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armv9 architecture server chip, the cost of the entire solution will be greatly reduced. More information, please refer to:
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- Analysis of sensor data and feedback to robot
- Lightweight speech recognition to recognize "immediate and urgent" voice commands while protecting data privacy
LF Edge Cross Project Collaboration
Companies
Challenges
Solutions
Results
DevOps MEC Infra Orchestration
Companies
Challenges
Solutions
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Show Case details:
Overview:
Demo of LFEdge Cross projects(Akraino EALTEdge + EdgeGallery + eKuiper + Fledge) collaboration to deliver Edge computing platform with IOT stack.
Background:
EALTEdge (Enterprise applications on lightweight 5G telco edge) BP from Akraino, integrate various open source projects to build a MEC based edge computing platform.
EALTEdge BP along with its upstream project EdgeGallery, provide an IOT stack which leverages Fledge(for IOT protocol and data collection) and eKuiper(Data Filter).
For using the EALTEdge Edge computing platform and experience the profile based IOT solution, EALTEdge is deployed in LFEdge Lab.
User with right permission to lab, can connect and try it.
Details about use case:
In this demo, we use a sample simulated IOT device.
Data from Device is processed in pipeline in multiple stages like data collection from devices, data filtration and transformation then store in DB for offline scenarios.
Now IOT applications can access this data. It support http exporter to get data by application.
Application like grafana can get data from DB as well.
In this Demo, we are using simulated MQTT device which produce readings every seconds and processed data is visualise in Grafana to monitor the device.