Watching A Replay
To access the replay sessions(s) click “View Archive” next to the desired session below. For your convenience and ease of locating sessions of interest to you, we recommend using the event Filter by Date or Track which will allow you to sort sessions by conference/event track.
Flexibility and interoperability in the field of IoT software is a paramount objective. The mix of platforms, “things,” edge analytics, etc. that are connected in an IoT deployment is extensive and ever growing. How do you create a software platform that connects to a variety of greenfield and brownfield sensors, incorporates various edge analytics, and communicates to a diverse set of cloud and enterprise platforms? The solution, as exhibited in EdgeX Foundry*, an open source, vendor neutral IoT platform, is to use a microservice architecture.
In this session, you’ll learn about EdgeX Foundry and a microservices architecture can help:
• Address the challenges of dealing with the IoT protocol soup (Modbus*, BACnet*, BLE, Zigbee*, MQTT, OPC-UA*, etc.)
• Help organizations to incorporate use case specific edge analytics or event processing
• Allow for continual improvements and upgrades of various parts of the IoT solution without requiring a redo of the entire platform
• Allow for value additions into your IoT solution in order to maximize return on investment
• Maximize the utilization of available resources which tend to be more constrained at the edge
No software architecture is a silver bullet. The presentation will also explore other challenges (and lessons learned) that a microservices IoT architecture introduces. Those challenges to be addressed include dealing with orchestration/deployment, security and additional communication latency.
Many of today´s applications across a variety of industry sectors require compatibility with more than one operating system. Often, at least one workload requires deterministic real-time behavior at minimum jitter and lowest possible interrupt latencies. Consolidating such high-performance, real-time workloads running, for example, in Microsoft Windows* or another general-purpose operating system (GPOS) in addition to an IoT gateway – all on a single multicore platform – can be challenging.
Guest operating systems executing various workloads in parallel must not influence each other. And, virtualization overhead for real-time operating systems must be kept to an absolute minimum.
This session details the impacts on real-time behavior, jitter and latencies due to simultaneous parallel access of shared resources. We’ll also cover the use of cache or advanced power management features. And, we’ll share best practices, including the use of Intel Cache Allocation Ttechnology (CAT) and other remedies to optimize real-time system performance.
Software containers are not a new technology, but their recent adaptation to the embedded industry offers new ways to dynamically deploy services on embedded devices that were once locked down by monolithic software stacks. Since embedded devices are typically low-power solutions with smaller footprints, new ways of managing embedded applications in containers becomes critical for creating extensible solutions with relatively limited system resources available.
The Open IoT Service Platform (OISP) is an open-source IoT platform for Cloud Service Providers (CSP), System Integrators (SI) and Independent Software Vendors (ISV). OISP provides a complete end-to-end infrastructure for IoT connectivity while maintaining interoperability at the edge, enabling CSPs, SIs and ISVs to join forces to create a compelling solution for the IoT industry.
This session – presented jointly by Intel and 1&1, the leading German CSP – offers an overview of 1&1's Container as a Service platform and how it integrates OISP. You’ll take a deep dive into OISP technology and learn how to deploy it, connecting a device with OISP using the Intel® IoT Developer Kit. And, we’ll describe the open source project structure and how developers can get started by joining the project.
OSIP includes services and protocols for collecting data from IoT devices, performs functions such as triggering events based on rules, manages Big Data Storage and is easily extensible with common analytics platforms and other third-party services. And, it is tightly integrated with the Intel IoT Developer Kit.
Learn to integrate voice-enabled commands with Amazon Alexa* over a map using HERE location services built using AWS Serverless Architecture. This session gives you the ability to create your own unique microservices and then connect them with AWS IoT.