Getting Started with Vortex OpenSplice Configurator Tutorial

Revisit the features of Vortex OpenSplice Configurator on a step-by-step tutorial. The Configurator is a tool that allows you to parse and set all the XML data properly.

The Vortex OpenSplice Configurator includes a rich online guide describing Vortex OpenSplice Configuration options as well as providing context-sensitive help and parameter validation.

Vortex is available to evaluate FREE, click here to download.

Getting Started Tutorial with Vortex OpenSplice Tester Video

In this tutorial video presented by Nate Wieselquist, you can learn about how to get started using the Vortex OpenSplice Tester tool in order to help you automate the process of testing and debugging your DDS system. Both passive and active benefits of the Vortex OpenSplice Tester tool are covered in this video as well as an example walkthrough.

MathWorks MATLAB and Simulink with Vortex OpenSplice DDS Tutorial

To coincide with the release of PrismTech’s Vortex OpenSplice 6.8, we have put together a series of videos to show how simple using Vortex OpenSplice DDS in MATLAB and Simulink is.

Presented by Paul Elder, these videos walk you through everything you’ll need to get up and running with Vortex: from installation, right through to building a model.

 

PrismTech Predicts Edge Computing, Next Generation Smart Gateways will Come of Age to Enable the Industrial Internet of Things in 2017

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Mainstream adoption of edge computing and the advent of second-generation smart gateways are among PrismTech’s top predictions for the Industrial Internet of Things (IIoT) in 2017.

Steve Jennis, SVP and Head of Global Marketing for ADLINK and PrismTech, compiled the list based on his extensive knowledge of IIoT users, vendors and technologies, as well as through his collaboration with peers in industry initiatives such as the OpenFog Consortium, the Edge Computing Consortium, Open Edge Computing, the Industrial Internet Consortium® and the Object Management Group®.

Jennis predicts that:

  1. Edge computing will become a mainstream term for IIoT systems.
  2. Edge computing will be recognized as the solution to fixing the shortcomings of M2M for IIoT (latency, resilience, cost, peer-to-peer, connectivity, security, etc.).
  3. Real-time (edge) analytics and IT/OT security become two of the key drivers for new IIoT platform/infrastructure deployments.
  4. IT departments will exert more and more influence over the requirements for OT systems connected to corporate IT systems or the Internet.
  5. The Edge will become the vendor battleground in IIoT markets between traditional CT, IT and OT vendors.
  6. Users will move from tactical to strategic IIoT thinking as previously deployed point-solutions (e.g. most M2M systems) reveal more and more functional limitations and IT management issues.
  7. Major IT systems integrators will begin to offer “managed solutions” for edge computing in addition to their “managed services” for cloud computing.
  8. Interoperability and legacy integration problems will be reduced with connector technologies, data normalization and shared micro-services delivered in/on “smart gateways”.
  9. Second-generation IIoT smart gateways (software-defined with on-board IIoT software stacks, connectivity and shared services) will quickly render first-generation (hardware-defined) M2M gateways obsolete.
  10. Security at the edge will be positioned as an IT/OT firewall. The potential for hacking OT systems, possibly through IT connections, is increasingly becoming a concern. Edge computing appliances will serve as the IT/OT firewall.

“Today’s trends show that the term ‘Edge Computing’ will continue to grow in usage and come to represent most implementation scenarios for the IIoT,” Jennis said. “The addition of new capabilities ‘at the edges’ of OT systems, IT systems, the Internet and cloud services will come to define the evolution of the IIoT and its new business value-add.”

“Next-generation smart gateways and industrial servers will supply the edge platforms to support the demands of the IIoT. These gateways and servers will host the software stacks that enable data connectivity from the sensor to the cloud, while also supporting edge compute and intrinsic security,” continued Jennis. “They will thus support fog computing architectures where applications can add-value at the most appropriate place in an end-to-end IIoT system: at the device, on the edge appliance, or in the IT/cloud environment. This multi-tiered architecture will come to define the IIoT and provide the ubiquitous (and secure) data accessibility and distributed systems capabilities needed to support new vertical solutions in, for example, smart factories, intelligent transportation systems and integrated healthcare systems.”

As an example of this trend PrismTech’s newly announced Vortex Edge PMQ (http://www.prismtech.com/vortex/vortex-edge-pmq) leverages best in class IIoT edge computing, connectivity and predictive analytics technologies to provide real-time device-edge-cloud connectivity.

DDS at the Tactical Edge

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The Department of Defense’s (DoD) next generation “Third Offset” initiative will target promising technology areas, including robotics, autonomous systems, miniaturization, and big data, whilst also seeking to improve the military’s collaboration with innovative private sector enterprises.

The latest innovations in real-time data-centric network edge computing based on the Data Distribution Service (DDS) standard will be key to delivering on some of the key priorities.

A key DoD objective is to accelerate the adoption of cloud computing. The aim is to move from a state of duplication, cumbersome and costly application siloes to a much more cost effective and agile service environment that can rapidly respond to changing mission requirements. Cloud computing can enhance battlefield mobility through device and location independence while providing on-demand secure global access to mission data and enterprise services.

Whilst cloud computing carries data back to a central server for storage and analysis with resultant issues in bandwidth capacity, connectivity and latency common to hostile environments; new fog computing and Tactical Cloudlet technologies enable real-time analytics and other functions to be performed at the tactical edge of a network, right at the data source – for example soldiers on the battlefield. This will help enable smart autonomous systems to send, receive and process information when and where it is needed, so ensuring speedier and optimal mission-critical decision making.

Tactical Cloudlets are a means to make cloud services and processing available to mobile users by offloading computation to servers deployed on platforms closer to the users. Cloudlets leverage capabilities such as automatic discovery and VM based provisioning, combined with peer-to-peer communications. Tactical Cloudlets, fog and edge computing will impact the way that the defense community builds the next generation of C4SIR and related military simulation systems.

PrismTech’s Vortex is a proven DDS standards-based technology for efficient, ubiquitous, interoperable, secure and platform independent data sharing across network connected devices. Vortex naturally fits with the fog computing and Tactical Cloudlet paradigm and is the only fog-ready data-sharing infrastructure capable of meeting the needs of defense and aerospace companies – connecting soldiers, unmanned machines, devices and commanders in the field with the intelligence community, and helping to improve decision-making.

Read out latest white paper to find out more >>>

Getting Smarter at the Edge

With over 2 billion people around the world now users of a smartphone, we have more computing power than ever right at our fingertips than ever before. Our cars, houses, factories, cities, etc. are all becoming smarter too. With all of this distributed computing power and applications, we’re producing and consuming vast quantities of data … but are we using this data effectively?

As systems grow in complexity and the number of connected devices/sensors increases, so too does the sheer volume of data produced. That is a lot of (potentially sensitive) data to be sending to the cloud to be analyzed for faults/abnormalities. Then there is the issue of network connectivity: what if the network goes down? What if the latency is too high for the safety/mission/business critical scenario? There are many single points of failure in a cloud-reliant solution. Local computing is therefore still vitally important to many industries, but this data still has value. Aggregating this data at the edge for cloud analysis is one way in which companies can derive massive business benefits without overburdening network communications. This aggregate data can be analyzed for insights, and results deployed back down to the edge.

Automation is an area in which edge computing plays a vital role: when you need an action to be taken immediately should something happen; you require a low-latency instantaneous response. Running edge based analytics enables companies to perform reactive, predictive, and prescriptive actions in real-time with no bandwidth costs or WAN networking issues to worry about. Automating decisions at the edge enables geographically isolated systems to benefit from big-data analytics without requiring high-bandwidth, low-latency connections to the cloud.

Edge computing is enabling many areas of high interest: self-driving cars, factory automation, autonomous drones, predictive maintenance, and the list keeps growing. Unlocking the potential of the ever-growing volume of data being produced means greater efficiency, more effective and timely actions, and valuable insights.

The recently announced Vortex Edge PMQ solution utilizes the power of PrismTech’s Vortex data-connectivity software, ADLINK’s ruggedized industrial hardware, and IBM’s advanced Predictive Maintenance and Quality analytics. Vortex Edge PMQ provides an edge analytics solution designed for Industrial Internet of Things environments where cloud computing access may be limited or otherwise not desired.

For a more detailed look at Vortex Edge PMQ and implementation examples, visit http://www.prismtech.com/vortex/vortex-edge-pmq