the industrial internet vs. scada
TRANSCRIPT
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Industrial IoT vs. SCADA and
M2MIndustrial Internet Energy Summit,
Houston, TX
June 23rd, 2015
Presented by:
Steve Jennis, SVP Corporate Development, PrismTech Corporation
[email protected] @SteveJennis
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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?
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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)
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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
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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
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Industrial IoT vs. SCADA and
M2MWhat’s Different?
What’s New?
What You Need to Know
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What is an IIoT Platform?
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End-to-End IoT System Functionality
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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
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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
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Intelligent data-connectivity between the functional components within a cloud PaaS offering for Enterprise IoT solutions
Device-2-Device AND Device-2-Cloud
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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/
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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
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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: ???
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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.”
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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.
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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
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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
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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
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“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
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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)
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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)
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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?