PrismTech’s Vortex DDS Showcased at DSEI 2017

Last week saw PrismTech showcase our Data Distribution Service (DDS) demo (see YouTube video above) whilst exhibiting amongst the giants of the world’s defense and aerospace market at DSEI 2017- many of whom are current PrismTech customers. Renowned as the world’s leading event bringing together the global defense and security sector DSEI did not disappoint, with the Excel Exhibition Centre hosting over 1,600 exhibitors and 34,000 visitors across the four days featuring a wide array of Defense and Aerospace applications.

PrismTech’s DDS demo stimulated great interest around the PrismTech booth, leading to many exciting discussions on how DDS could be applied to their own defense use cases. The demo highlighted the process of moving real-time data around network systems using Vortex DDS with land and sea examples.

Another highlight at DSEI was the announcement of Thales Australia selecting Vortex DDS as the data sharing platform for its Integral Computing System (ICS) which has been featured in major defense publications such as; Jane’s 360 and Defence Connect.

DSEI 2017

A Defense and Aerospace event of this scale is particularly relevant to PrismTech due the wide adoption of DDS in this industry- for example it is mandated in Vetronics systems with standards such as the Generic Vehicle Architecture (GVA).

To find out more about how Vortex DDS benefits the defense and aerospace industry, click here

Get Started with Vortex OpenSplice Tuner

Explore Vortex OpenSplice Tuner with our latest video tutorial.

The Vortex OpenSplice Tuner is a powerful deployment tool that offers total control over a deployed Vortex OpenSplice based Data Distribution Service (DDS) system from any local or remote platform that supports the Java language. The 100% Java based Vortex OpenSplice Tuner Tool greatly aids the design, implementation, test and maintenance of Vortex OpenSplice based distributed systems

The Vortex OpenSplice Tuner Tool is differentiated from other vendor’s DDS based tooling by its dynamic capabilities to not only connect to any remote Vortex OpenSplice DDS based system at runtime, but also its capabilities to create, discover and (QoS) tune any DDS entities ‘on-the-fly’. Vortex OpenSplice Tuner provides facilities to observe entities in a Vortex OpenSplice system and browse over their (mutual) relationships using different views.

If you have not got the latest Vortex OpenSplice 6.8.1 version, you can download it here.

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.

 

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