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

Vortex 2.0 is now available to download

PrismTech is pleased to announce that Vortex 2.0, a major upgrade of its award winning Intelligent Data-Sharing Platform is now generally available for evaluation and purchase. The Vortex platform provides the most comprehensive Industrial IoT solution for integrating devices, real-time high performance edge-based Fog networks and Cloud systems.

Vortex 2.0 delivers significant benefits in terms of support for Fog computing, improved robustness, security, platform support and ease of use. Vortex 2.0 includes the following new functionality:

  • Vortex OpenSplice 6.6 – includes new features such as Google Protocol Buffer (GPB) support, latest ISO C++ API, dynamic network partitions, Durability Service optimizations, coherent updates – full PresentationQoSPolicy support,  RnR Service – split file recording and Python scripting support for OpenSplice Tester
  • Vortex Fog 1.x – a new addition to the platform providing secure interest based routing of real-time information between UDP (multicast and unicast) enabled edge networks and TCP endpoints, enabling Device-Fog, Fog-Fog and Fog-Cloud connectivity
  • Vortex Cloud 1.3 – includes new Boundary Security solution
  • Vortex Lite 2.0 – latest ISO C++ API, enhanced Durability QoS, support for Windows 10, Mac OS X10.1
  • Vortex Insight 1.2 – usability improvements

Vortex is ideally suited for mission-critical distributed and Industrial Internet of Things (IIoT) applications. It is based on the Data Distribution Service (DDS) for Real-time Systems open standard and builds on proven technologies to provide an efficient solution for Internet scale real-time data sharing. Vortex is a crucial enabler for systems that have to reliably and securely deliver high volumes of data with stringent end-to-end qualities-of-service (QoS); for IIoT systems Vortex delivers the right information to the right place at the right time.

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Why are System Integrators So Hyped About the IoT?

Enterprise/Industrial IoT (IIoT) systems with global scale, legacy sub-systems, cloud services, connected edge-devices, Fog Computing concepts, and OT/IT alignment present a new challenge in terms of interoperability, end-to-end performance and security.  So who will deliver them?

Of course if everything were plug-and-play (PnP) out-of-the-box, we wouldn’t have a problem.  But anyone who remembers connecting a printer to a PC back in the 1980s knows that PnP takes time to arrive.  So for the foreseeable future, how will IIoT systems be implemented, deployed and maintained?  Step forward the systems integrator.  One aspect of the IIoT that hasn’t been well publicized is the huge opportunity it represents for systems integrators.  But it’s no coincidence that Accenture, PwC and many other IT and OT services companies are producing optimistic reports about the impact of the IIoT.  IIoT-related consulting services are a huge opportunity for them now, and over the next decade the market for IIoT systems development, deployment and evolution will be huge.

The vast majority of IIoT systems will include data sources and sinks (sensor networks, edge devices, brilliant machines, proprietary sub-systems, etc.) from both legacy (brown field) and new sub-systems.  In effect, IIoT systems can be regarded as an overlay on existing OT and IT systems that complements them and adds new business value through: incorporating new connected devices, supporting distributed analytics, leveraging the Internet and cloud services for global scale and mobility, facilitating enterprise OT/IT alignment, enabling supply-chain optimization and more. Read the full article at www.smartindustry.com

Introducing Vortex Lite Webcast

Date: 27 January 2015

Why Attend:

  • Learn about what makes Vortex Lite the right DDS implementation for resource constrained embedded IoT devices and environments,
  • Understand how some of the features provided by Lite simplify application development and ease porting across computing / networking stacks,
  • Learn about Lite’s performance characteristics.

Abstract:

Vortex Lite brings Data Distribution Service (DDS) connectivity to resource constrained embedded systems. As a first class citizen of the Vortex platform it can be used for peer-to-peer fog / edge computing between embedded devices as well as gateways and for very efficient device to cloud data sharing. Vortex Lite has been designed with efficiency and portability in mind. This makes it the fastest DDS implementation on the market on enterprise grade hardware and the most lightweight on embedded targets. Likewise its architecture makes it highly portable across computing / networking stacks.

This webcast will introduce Vortex Lite, provide an overview of its architecture, its design choices as well as highlighting its performance characteristics. The webcast will also explain the role played by Lite within the Vortex family and how it can be used for both device-to-device (fog / edge computing) as well as device-to-cloud data sharing.

The webcast will last approximately one hour.

Webcast Presenter:

Angelo Corsaro, Ph.D. is Chief Technology Officer (CTO) at PrismTech where he directs the technology strategy, planning, evolution, and evangelism. Angelo leads the strategic standardization at the Object Management Group (OMG), where he co-chairs the Data Distribution Service (DDS) Special Interest Group and serves on the Architecture Board. Angelo is a widely known and cited expert in the field of real-time and distributed systems, middleware, and software patterns, has authored several international standards and enjoys over 10+ years of experience in technology management and design of high performance mission- and business-critical distributed systems. Angelo received a Ph.D. and a M.S. in Computer Science from the Washington University in St. Louis, and a Laurea Magna cum Laude in Computer Engineering from the University of Catania, Italy.

PrismTech Data-Centric Architectures, M&A Activity Top Predictions for Internet of Things in 2015

Top10-PredictionsWide-spread adoption of data-centric architectures and rapidly accelerating vendor M&A activity top the list of Internet of Things (IoT) trends likely to occur in 2015, according to a Top 10 forecast released today by PrismTech.

Steve Jennis, SVP, Corporate Development, recognized as one of the “Top 10 Most Influential IoT Executives,” and Angelo Corsaro, PhD, CTO, a widely-known and cited expert in the field of large-scale, real-time distributed systems, intelligent data-sharing platforms and software patterns, compiled the list based on their deep knowledge of IoT users, vendors and key technologies; discussions with numerous thought-leaders and analysts; and through their work with their peers in industry initiatives such as the Industrial Internet Consortium, the OMG and the IPv6 community.

PrismTech’s Predictions for the IoT in 2015
1. Wide-spread adoption of data-centric architectures
2. Rapidly accelerating vendor M&A activity
3. Technology advances in Fog and Edge Computing
4. Growth of Software-Defined Networks
5. Emergence of the OMG’s Data Distribution Service (DDS) as data-sharing standard
6. Significant market growth for industrial system integrators
7. Device OEMs evolving stand-alone products into connected systems
8. Operation technology vendors/OEMs providing open interfaces to data generated by their products
9. Expansion of J2SE on embedded targets
10. Increase in adoption of functional programming languages, especially on server side

Data-Centric Architectures and M&A Activity
In the top spot, the company anticipates there will be a significant increase in the adoption of data-centric architectures as hardware, software and services vendors focus on liberating the data from devices, machines and computers to make it available system-wide, on-demand to support new value generation anywhere in the system.

“The potential of the IoT is all about extracting new value from data, so every ‘Thing’ will become a data source and/or sink at the system-level and systems will increasingly adopt data-centric architectures to support distributed analytics and enhanced control both at the edge and in the cloud,” said Jennis.

A robust M&A environment during 2015 also is predicted. As the IoT is centered around system-level solutions, data-centric architectures and generating new levels of business value from distributed data analytics, Jennis explained that the industry  should expect acceleration in vendor consolidation as hardware vendors move ‘up the stack’ from devices into systems software, operational OEMs acquire IT skills and integration technologies, large software vendors fill their IoT platform gaps with acquisitions, and systems integrators acquire IoT skills.

Fog/Edge, SDN and DDS
The company, which was recently recognized by Silicon Valley strategists Sand Hill Group as a top “IoT Needle Mover,” also highlighted technology advances in Fog and Edge Computing, growth of Software-Defined Networks, and the emergence of the OMG’s Data Distribution Service (DDS), the leading standard for Industrial IoT systems in particular.

Fog and Edge computing strategies will continue to proliferate because of their ability to scale, reduce communication needs and improve reactivity in IoT systems Dr, Corsaro explained. He also added that Software-Defined Network is a hot topic for data centers and it is expected to make significant in-roads next year and play a key role in the Industrial IoT due to its ability to improve scalability and facilitate the management of complex QoS and SLAs.

Dr. Corsaro also highlighted the significance of DDS.

“DDS is the only standard that holistically addresses IoT requirements for device-to-device and device-to-cloud communications,” said Dr. Corsaro. “This technology has the potential to become the fabric of the Industrial and Consumer IoT.”

Rounding out the Top 10
No. 6.  2015 will be a great year for industrial system integrators as they offer the end-to-end solutions that will be required for any multi-vendor IoT system. The IoT represents a significant opportunity for integrators.

No. 7.  Device OEMs will quickly evolve their stand-alone products into connected systems and will start to aggressively market these system solutions. Unconnected products will quickly become uncompetitive and OEMs not investing in connected products today will become clear laggards by the end of 2015.

No. 8.  Leading operation technology vendors are not only connecting their own products together, but they are building-in seamless data-sharing with IT environments and providing open data access to other vendors’ systems. In 2015, these leaders will start to competitively force all their competitors and smaller OEMs to provide open interfaces to the data generated by their products.

No. 9. While the JVM will continue to be a dominant server-side platform for the IoT, 2015 will witness a constant expansion of J2SE on embedded targets. In the end, Java—a technology that was originally developed for embedded systems—will finally gain market traction in the embedded space as a result of its performance, security and time-to-market capabilities.

No. 10. Functional programming languages will continue to grow in popularity and adoption, especially on the server side. Architects will start realizing the value provided by immutability and the functional approach when dealing with the high-throughput, highly concurrent and distributed data-centric applications found in the IoT.