Outdoor-Indoor 5G Micro-Operator
As part of the 5G Playground, a micro-operator is deployed including state of the art 5G RAN prototypes and LTE base stations, interconnected with mmWave or fixed network backhauls together with the Open5GCore and application enablers. The demonstration concentrates on the outdoor deployment as well as on the interworking with the indoor part and the integration of multiple applications across the environment. Insight will be given on what it practically means to operate a 3GPP network system and on the different additional key technology elements which have to be considered for such a deployment beyond the 3GPP standard components.
Nomadic 5G
A large number of use cases of 5G do not require permanent deployments. Instead, nomadic or even mobile ones would suffice to address the communication requirements including eHealth, rapid response and temporary deployments for public events. This demonstration showcases a multi-slices nomadic 5G node installed in a vehicle. It enables a local area connectivity for eMBB and mIoT use cases, edge computing for URLLC use cases and it can dynamically communicate with the central network through available backhauls as 5G integrated proxy using the outdoor-indoor 5G micro-operator, over-the-top using the connectivity over a local MNO and over GEO satellites.
Open5GCore Release 4
This demonstration showcases the 3GPP Release 15 functionality of the Open5GCore. The demonstrator addresses the features enabling the interoperability with Non-Standalone and Standalone 5G RAN (N1-N2-N3-N11 interfaces), the data path diversity using PFCP and GTP protocols (N4-N9 interfaces) and the basic Service Based Architecture features. To be able to maintain compatibility with existing devices and technologies, Open5GCore maintains backwards compatibility with LTE-EPC. The demonstration will present the various features of the core network platform as well as its configurability.
5G for Industrial IoT
In this demonstration, a first step is taken towards the integration of 5G networks within the factory shop-floor environment. The demo showcases the reliability of communication and the latency using an LTE access network and a 5G core network giving an insight on the possible ways of retrofitting factory devices with new communication capabilities.
Cloud Security Automation
With companies migrating their services and network infrastructure to the cloud, network administrators have to deal with an ever increasing amount of security alerts and events. The growing workload of these professionals can be radically reduced by automating the simple but time-consuming and repetitive tasks. As part of our research we explored how we could further advance the solutions provided by existing platforms addressing this problem. We introduce a more dynamic method of event processing, that allows the reactive system to adapt to changing environments. It automatically builds a system-profile dependent list of appropriate actions which can be executed to handle the seen or predicted events.
Fault Root Cause Analysis for Edge Nodes
Finding the root cause of a fault in an infrastructure is a complex and time-consuming task especially when multiple services and virtual networks shares the same physical hardware. Edge nodes are becoming and essential part of the infrastructure as more functions and logic is being moved to the edge. Since such nodes typically consist of limited compute power capability provided by not expensive hardware, the likelihood of a fault increases. This demo shows how to quickly find the root cause of a fault on an edge node while several services are running on top of it.
End-to-end Slice Orchestration
For the orchestration across multiple network domains connected with different types of backhaul, there is the need for the development of an appropriate end-to-end orchestration solution which can interwork with multiple orchestrators and which can deploy the end-to-end slice without additional overhead for the inter-domain network. This demonstration provides a first preview of such a component, enabling the deployment of slices across two OpenBaton controlled network domains with dynamic dependencies resolution while maintaining the network transparent between the two locations.
Exploiting DPDK-capabilities by Open Baton NFV MANO
Network Function Virtualization reaches a crucial point in its lifetime. Almost ready to go for production there are still undiscovered things to be taken care of. A collaboration between Intel and Fraunhofer institute is looking into enabling DPDK-capabilities via the open source NFV MANO platform Open Baton to validate the performance boost via DPDK on the recently launched Denverton Kits. These small data centers allow everybody to experiment with virtualization, DPDK and NFV MANO, and, potentially, developing your own virtual (edge) network functions.
Elastest
Software testing is one of the most complex and less understood areas of software engineering. When creating software, the testing process commonly accounts for the highest fraction of costs, efforts and time-to-market of the whole software development lifecycle. This demonstration shows how to cope with the emergence of highly distributed and interconnected heterogeneous environments (i.e. the new MEC with ubiquitous support paradigm). It shows appropriate testing of the end-to-end Open5Gcore Core Network without becoming prohibitive for software and service providers.
Industrial IOT Service Orchestration on Edge Infrastructures
The flexibility on resource management seen in the cloud meets the Edge in Industrial IoT applications while taking into consideration all its specificities. Resource and Service Orchestration are a fundamental part for delivering flexibility required by the Industry. From analytics services to virtualized PLC the OpenIoTFog solution orchestrates them all. In this Demo we showcase how to use Orchestration in the Edge.
Industry 4.0 Suitcase
Together with our colleagues from the Fraunhofer Institute for Production Systems and Design Technology IPK, we from the Fraunhofer Institute for Open Communication Systems FOKUS have developed the Industrie 4.0 suitcase in the Berlin Center for Digital Transformation. With this suitcase we implement first IoT applications on existing production environments. Such “retrofitting” enables, for example, real-time condition monitoring, and the monitoring of production plants and processes. Based on this, for example, predictive maintenance can be realized by machine learning methods.
The suitcase is a piece of hardware, an industrial gateway that connects to sensor nodes via Wi-Fi, Zigbee or Bluetooth interfaces, and industrial and networked industrial bus and fieldbus systems to machine and industrial control systems. Also included is a set of sensor nodes: we introduce some on-board sensor components into the production environment and measure equipment states. These include, for example, parameters such as acceleration, yaw rate, temperature, magnetic fields, humidity, pressure and more.
The software tool kit “OpenIoTFog” developed by Fraunhofer FOKUS has already been installed on the gateway. With this “Fog Node” (or more), we are establishing a central component of future Industry 4.0 network architectures in the production halls. The Fog nodes can be easily integrated into existing industrial networks and are able to read system controls via standard-based interfaces and to actively control them. Similarly, a connection to a higher level production control such as a Manufacturing Execution System (MES) can be easily realised.
TSN-Based Plotter
In this innovative demonstrator, you'll see the combination of Time-Sensitive Networking (TSN) standards and OPC UA UDP Unicast with a retrofitted CANopen-based pick-and-place system to plot text using synchronised motor communication.
Data is being send via two real time flows over the multi-vendor TSN-enabled network between National Instrument (NI) devices. You'll see that the generated background traffic does not influence the flows and the independent drives are controlled synchronously in a deterministic manner.
Performance Testing of OPC UA
The OPC Unified Architecture (OPC UA) usage is rapidly growing in the industry to ensure a cost-effective integration and data visualization of heterogeneous intelligent automation systems. Since the introduction of OPC UA it presented an overwhelming solution for various challenges that were previously unsolved using OPC protocol. OPC UA ensure not only platform independence but also scalability and more security. However, since the OPC UA protocol is based on TCP that does not have real-Time requirements, questions about the performance of OPC UA and more specifically the performance of the OPC UA server implementations arise. In this context, this demo aims at testing the performance of different OPC UA server implementations based on Eclipse Titan which is a TTCN-3 compilation and execution environment to identify weather the OPC UA server implementation is real time capable or not. The performance testing consists of sending a request from the Test System which consist of an OPC UA client to OPC UA server through a TSN network. Furthermore, the requests are sent through a time interval which will allow to test the response behavior of the server depending on the different time intervals.
OpenIoTFog: Local Prescriptive Analytics
Distributed Condition Monitoring and Prescriptive Data Analytics for Smart Factories
Undetected damages can lead to the destruction of machinery and can cause expensive downtime of the production process. However, data needed to monitor the condition of the systems might not be available due to media disruption or are not measured in the first place. Within this demonstrator we measure relevant information by attaching an external sensor (MEMS) and combine the new data with existing information (OPC UA + PROFINET). The merged data is then being analyzed close to the device (Fog Node) and to avoid further damages the machine will be paused until given thresholds in the multi-modal information are met again.
Blockchain IoT-Broker
Blockchain-based Asset Management
Blockchain is the digital and decentralized ledger that records all transactions tamper-proof and verifiable. Blockchain and related technologies will play a crucial role in digitization. But can it also help to keep sensitive physical assets safely, such as contracts or medicines, whether stationary or mobile in logistics?
Within this demonstrator we illustrate the safekeeping of assets in a smart security box using the decentralized Hyperledger blockchain as a superordinate layer for the secure asset management and IoT technologies to control the box and connect to sensors.
For the practical demonstration, a smart, lockable cabinet was designed as security box, which communicates with the blockchain on the basis of the single-board computer Raspberry Pi that acts as IoT gateway. Vibrations and environmental data are registered by the gateway and dynamically recorded in the blockchain infrastructure where data is protected against data tampering. This allows, for example, to register an unauthorized opening attempt.
An NFC-enabled smartphone is used to authenticate with the security box and unlock it. A smartphone application serves as the central management tool of the user. It interacts with the box to query data of the box via NFC and to communicate with both the blockchain and the IoT gateway. The required access rights are previously assigned and managed via smart contracts in the blockchain.
The prototypical implementation can be transferred to a wide range of applications, such as car and bike sharing or IoT marketplaces.
Fraunhofer Institute for Open Communication Systems