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

PrismTech and RTTS Extend Partnership to Provide Unparalleled Support to Developers of Combat and Battlefield Management Systems in India

DefensePrismTech™, a global leader in software platforms for distributed systems and RTTS (RealTime TechSolutions), a systems integration specialist to defense customers that need extreme levels of performance and reliability, said today they will extend their eight-year partnership. The companies will focus on delivering technology and services that simplify combat management system development and dramatically reduce development time.

RTTS

Over the past eight years, RTTS have developed their engineering, consulting and support teams to a high level of DDS expertise, allowing developers based in India to benefit from first line support in their own time zone.

“RTTS’s team now has over 150+ man years of experience with DDS which makes us unique in India,” said Raj Rajagopolan, Director, RTTS. “I am excited to continue to grow our business with the extension of our partnership with PrismTech.”

The Indian Government are committing to develop many new combat and battlefield management systems. PrismTech and RTTS’s extended partnership will see continued growth in the use of Vortex OpenSplice in these programs.

PrismTech’s Vortex OpenSplice is the leading (commercial and Open Source) implementation of the Object Management Group™’s (OMG™) Data Distribution Service (DDS) for Real-Time Systems standard. Vortex OpenSplice has been designed to optimally address the real-time information distribution and management challenges posed by high performance real-time data-processing systems.

Further information about Vortex OpenSplice is available from PrismTech’s website at: http://www.prismtech.com/vortex.

Extend your DDS systems to Web, Cloud and Mobile Environments with Vortex

PrismTech Blog

If you are currently using DDS (Data Distribution Service), then extending your system to leverage the benefits of cloud computing and the Internet of Things (IoT) has never been easier.

Compliant with the DDS standard and the DDSI interoperability protocol, PrismTech’s Vortex Intelligent Data Sharing Platform provides many capabilities not available from other vendors but required by next generation IoT systems.  These include cloud data sharing and WAN connectivity, support for Android devices and mobile environments, embedded device support, dynamic web browser application support and the ability to integrate DDS with a broad range of other IoT communication protocols and standards.

The Vortex platform includes:

  • Vortex Cloud extends the capabilities of a DDS system with support for data sharing over a Wide Area Network.
  • Vortex Café is the only “pure” Java DDS implementation specifically optimized for mobility and Android devices.
  • Vortex Web provides JavaScript DDS API to enable HTML5 /…

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The right communication gateway is key to enabling your path to IoT success

PrismTech Blog

The race for IoT domination is on. The IoT space is already filled with a vast array of technologies and protocols, making the choice of the right IoT communication gateway a fundamental requirement on you path to IoT success. Why ?

  • Expanding your system’s connectivity options is key to a leveraging the benefits of the IoT.
  • Communicating with system endpoints across networks and using different communication protocols is unavoidable.
  • Converting you data into the most appropriate format possibly for more sophisticated downstream processing will enable the right decisions to be made at the right time, unlocking new IoT insights and generating new business value.

If you are looking to develop a future-proof IoT system that is flexible and adaptable to changes driven by constant technological evolution, it is essential that you have a high-performance, extensible and configurable protocol integration framework that can transparently interoperate across different communication technologies.

Vortex Gateway addresses…

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Vortex & ADLINK’s MXE-202i IoT Gateway Demo

This demo features the combination of Vortex and ADLINK’s MXE-202i IoT Gateway that can be used to:

  • Provide reliable, real-time Device-to-device data connectivity for IoT Edge and Fog networks
  • Create a decentralized architecture that removes any single points of failure
  • Support automatic discovery for edge-based devices and applications enabling an IoT system to evolve dynamically
  • Show data interoperability between DDS and other protocols enabled by Vortex
  • Enable edge-based processing and analytics in order to:
    • Reduce response time and improve decision-making
    • Federate processing load across nodes
    • Minimize network bandwidth consumption in comparison to Cloud-centric solutions