1

Industrial IoT vs. SCADA and

M2MIndustrial Internet Energy Summit,

Houston, TX

June 23rd, 2015

Presented by:

Steve Jennis, SVP Corporate Development, PrismTech Corporation

sj@prismtech.com @SteveJennis

2

Topics to Address

Which technology changes are enabling the IIoT?

Why is the IIoT different from traditional industrial systems integration such as SCADA, M2M and CIM?

How will the IIoT be justified and implemented?

Can we predict how ubiquitous data accessibility will change our business lives?

3

Key Take-Aways

What’s Different?

What’s New?

What You Need to Know

Internet-of-Things

Source - IHS 2013

World Market for Internet Connected Devices – Installed

Base & New Shipments

Connected Devices (MM)

4

5

IoT Vertical Markets SizeConnected devices 2025

Industry 4,800MM

Consumer Electronics 3,700MM

Mobiles 2,300MM

Fixed Telecoms 1,000MM

Computers 600MM

Autos 500MM

Medical Devices 300MM

Mil/Aero 100MM

IoT Technology Spend

Source – Wikibon 2013

6

Four Trends Driving the IoT

The cost of internet-connected sensors is declining fast: 50% in the past decade and will continue dropping at a steady rate

Money is being poured into the IoT. Large companies as well as innovative startups: devices, gateways, software, cloud/fog services, analytics, HMI

Close to ubiquitous Internet connectivity. The ITU estimates that by 2019 roughly 57% of the global population will be connected to the Internet

High adoption levels of smartphones, tablets, etc. The IoT leverages BYOD, primarily smartphones and tablets

Read more: http://www.businessinsider.com/four-elements-driving-iot-2014-10#ixzz3dExrjiOv

11

Industrial IoT vs. SCADA and

M2MWhat’s Different?

What’s New?

What You Need to Know

12

What is an IIoT Platform?

14

End-to-End IoT System Functionality

15

Data-connectivity for end-to-end systems embracing Things, gateways, enterprise servers, cloud services, PCs, mobiles, etc. to support Enterprise IoT solutions

Ubiquitous Data Availability

Sensors/ Things/

Devices

Connectivity/ Transport

Edge Management/ Telemetry

Application Platform

Enterprise Systems

Efficient, Scalable and Secure IoT Data-Sharing Infrastructure

IoT Edge-Device Environment

17

Intelligent data-connectivity between the functional components in an IoT device and other devices, sub-systems and cloud services in Enterprise IoT solutions

IoT Cloud Services Environment

18

Intelligent data-connectivity between the functional components within a cloud PaaS offering for Enterprise IoT solutions

Device-2-Device AND Device-2-Cloud

20

IIoT versus M2M, SCADA,

CIMBlogs for Reference

More business oriented:http://www.smartindustry.com/blogs/smart-industry-connect/the-bottom-line-for-enterprise-iot/

http://www.smartindustry.com/blogs/smart-industry-connect/how-will-the-enterpriseindustrial-iot-add-value-over-traditional-ot-and-it-systems/

More tech oriented:http://www.smartindustry.com/blogs/smart-industry-connect/how-does-the-industrial-internet-differ-from-m2m-and-scada/

http://www.smartindustry.com/blogs/smart-industry-connect/beyond-m2m-to-enterprise-iot/

21

IIoT versus M2M, SCADA,

CIMKey Differences

Potential of ubiquitous on-demand data accessibilityLegacy and new 3rd party sub-system inter-operabilityNo data silosSelective (optimized) data movementDistributed applications (analytics, HMI, edge computing, fog computing) generating actionable insightsNew technologies lowering costs (cloud services, handhelds, wireless, etc.)Applying lessons from social (human) networking to operational (things) networkingTwitter for Things (global data space offering system-wide pub/sub data sharing)New innovative applications from anywhere ($B businesses in a few years)F.U.D. If we do nothing will we survive? Opportunity + Threat = Action

22

New Vendor Landscape

OT Vendors: SCADA, CIM (OPC-UA, etc.)

IT Vendors: Corporate systems, mobility (XMPP, etc.)

M2M Vendors: Tactical SaaS (MQTT, etc.)

IIoT Platforms: Microsoft Azure, GE Predix, SAP HANA

Data Connectivity: PrismTech Vortex, RTI Connext

Enterprise IT: Build your own end-to-end platform

New IoT Entrants: ???

23

Gartner on IoT Platforms

“Through 2018, there will be no dominant IoT ecosystem platform; IT leaders will still need to compose IoT solutions from multiple providers.

This challenge is even more acute because IoT solutions are not clearly understood and are relatively immature, IoT standards either don't exist or are still immature, and vendors are taking advantage of this "wild west" moment in IoT adoption to advance their own agendas and points of view.

No one IoT architectural approach will meet the diverse business and technology requirements for all IoT projects.”

24

ABI on IoT Platforms

https://www.abiresearch.com/blogs/three-nonconformist-iot-vendors-and-confessions-industry-analyst/

“I’d like to highlight three vendors that play a promising role in different parts of the IoT software stack. What they all have in common is that they have a strong focus on solving an application enablement problem that is not being effectively addressed on the actual platform level.

PrismTech – data sharing for industrial environments: PrismTech supplies data distribution service (DDS) middleware, positioning it as a layer to address the interoperability issue that undermines many industrial-scale IoT deployments.

25

Industrial IoT vs. SCADA and

M2MWhat’s Different?

What’s New?

What You Need to Know

Devices and gateways setup from box to cloud in minutes

Seamless data ingestion, processing and system control

Customer value visualised by broad analytics infrastructure from edge

to cloud

Devices and gateways securely discovered by cloud services in

seconds

Services: infrastructure to monetize HW, SW and data management from

edge to cloud

World-class security as the foundation with embedded HW and

SW-level protection

Platform Builders Have Vision of

End-to-End IoT

26

Most IoT platform solutions have not yet moved beyond stovepipe IoT connectivity. To build a solution that unleashes the most valuable part of IoT (the data), a scalable date-sharing infrastructure is critical, and must include:

Secure, efficient and ubiquitous device-to-device and device-to-cloud data sharing

Scalable automatic discovery

Elastic analytics, i.e., run the analytics where it makes sense in the cloud or at the edge and let the data flow there

Seamless application interoperability

Integration of IT and OT domains

Ease of integration with other IoT building blocks

Critical Gap

27

Peer-to-Peer Intra-core latency as low as 8µS

Peer-to-Peer latency as low as 30 µS

Point-to-Point throughput well over 2.5M msg/sec

VORTEX Device

Routing latency as low as 30µS

Linear scale out

44K* msgs/sec with a single router, 4x times more than the average Tweets per second in the world (~6000 tweets/sec)!

*2048 bytes message payload

VORTEX Cloud

Industry Leading Performance &

Scalability

28

“IoT at the edge. By 2018, 40% of IoT-created data will be stored, processed, anlayzed, and acted upon close to the edge of the

network.” – Dec 3 2014

VORTEX natively supports both Cloud and Fog computing

Cloud and Fog Computing

29

Security

- Pluggable Authentication, Access Control, Crypto, Logging and Data Tagging

- Support for the DDS Security Plug-in API as well as JAAS and JCA

- Integration of end-to-end security solutions facilitated by the plug-in architecture

Analytics

- Off-the-shelf Complex Event Processing Engines Integration, such as ESPER

- Data-centric nature, simplifies the integration of CEPs

Load Balancing

- Pluggable VORTEX-Cloud Load-Balancing algorithms to customise load distribution based on workloads or specific IaaS deployment

Extensibility and Integration

API Management

Load Balancing

Analytics

Access Control

Authentication

Crypto

Logging

Tagging

Analytics

Access Control

Authentication

Crypto

Logging

Tagging

VORTEX Cloud

VORTEX

Gateway

VORTEX Device

Analytics Data Stores

Protocols

API Management

- API Management can easily be managed via mainstream frameworks such as Mashery or Apiphany

Edge Management

- Device-2-device and Device-2-Cloud authentication

- Simple device discovery, orchestration and fault-detection through built-in dynamic discovery

Data Ingestion

- Simplified data integration through canonical data-models

- Built-in support for content and format transformation

Extensibility and Integration

API Management

Load Balancing

Analytics

Access Control

Authentication

Crypto

Logging

Tagging

Analytics

Access Control

Authentication

Crypto

Logging

Tagging

VORTEX Cloud

VORTEX

Gateway

VORTEX Device

Analytics Data Stores

Protocols

Performance and Scalability

Vortex Device

Peer-to-Peer Intra-core latency as low as 8 microseconds

Peer-to-Peer latency as low as 30 microseconds

Point-to-Point throughput well over 2.5M msg/sec

Vortex Cloud

Routing latency as low as 30 microseconds

Linear scale out

44K msgs/sec with a single router, 4x times more the average Twits per second in the world today (~6000 twits/sec)!

IoT Data Protocol Standards

DDS-compliance provides Vortex with unique advantages that enable it to be the most scalable and secure data-connectivity infrastructure for the IoT. Via Gateway, Vortex also seamlessly integrates telemetry protocols such as MQTT or CoAP

Transport Paradigm Scope DiscoveryContent

AwarenessData Centricity Security

Data

PrioritisationFault Tolerance

DDS

UDP/IP

(unicast + mcast)

TCP/IP

Publish/Subscribe

Request/Reply

Device2Device

Device2Cloud

Cloud2Cloud

YesContent-Based

Routing, Queries

Encoding,

Declaration

TLS, DTLS,

DDS Security

Tranport

PrioritiesDecentralised

AMQP TCP/IPPoint-to-Point

Message Exchange

Device2Device

Device2Cloud

Cloud2Cloud

No None Encoding TLS None Impl. Specific

CoAP UDP/IPRequest/Reply

(REST)Device2Device Yes None Encoding DTLS None Decentrailsed

MQTT TCP/IP Publish/Subscribe Device2Cloud No None Undefined TLS None Broker is the SPoF

A Data Centric solution optimised for realizing the value of IoT data

Allows for design around common and extensible data models enabling seamless IT/OT working (green field)

Applications collaborate by simply sharing reading and writing data

Data is a first class citizen in the system, with the scope a lifecycle and security

Open platform built on standards to enable end-to-end interoperability and ease IoT system development and integration – future proof

Sophisticated IoT data management capabilities – complete control over end-to-end qualities-of-service (>20) managing data distribution

Superior determinism, performance, efficiency, scalability, fault tolerance and security

Delivers the IoT data management goal of the “right data at the right place at the right time” across a complete IoT system

Key Differentiators (1)

34

Address system wide IoT infrastructure coverage

Embedded, mobile, enterprise, web, cloud

Intranode, intra-LAN, Device-to-Device. Device-to-Cloud

Private or public networks and clouds

Mixed IoT protocol environments (via multi-protocol gateways)

Provide open APIs for simple integration with other IoT building blocks (e.g., security, analytics)

Provide IoT scalable dynamic discovery , enables plug –and-play for IoT applciations, simplifies the deployment and orchestration of large scale distributed systems and supports agile system re-configuration

Hardware, operating system and programming language agnostic

Key Differentiators (2)

35

36

Summary

IoT Market Size and Growth – Why?

What is an IIoT platform versus traditional Industrial Systems (M2M, SCADA, CIM, etc.)?

How to Make Sense of it All?

Thank You! Questions?