7 Principles of the IoT - Industrial Internet Consortium...7 Principles of the IoT-A Personal Perspective Tom Bradicich, PhD VP, Server Engineering, HP Opening Remarks, Industrial

7 Principles of the IoT- A Personal Perspective

Tom Bradicich, PhDVP, Server Engineering, HP

Opening Remarks, Industrial Internet Consortium Summit June 23, 2015, Houston, Texas

7 Principles of the IoT

T.M.S Bradicich, PhD, 2/2013, 6/2015

… sensor data is derived from predominately analog sources - thus unique data management needs

1) “Big Analog Data”… the IoT presents a big “analog” data problem – the oldest, fastest, and biggest of all big data


1) “Big Analog Data”2) “Perpetual Connectivity”… the IoT presents perpetual connectivity to the product and user, affording 3 main supply side benefits


1) “Big Analog Data”2) “Perpetual Connectivity”3) “Really Real Time”


The

Edge

AcquireData Flow: Real-Time In Motion Early Life At Rest Archive

Sensors/Actuators(Wired, Wireless)

Edge IT(Analytics, Pre-processing)

Internet Gateways, Data Acquisition Systems

(Data Aggregation, A/D, Measurement, Control, Actuation)

Tier 1 Tier 2 Tier 3

WiFi, Cellular, Satellite Hubs

Tier 4

Data Center / Cloud(Analytics, Management, Archive)


Visualization


The “Things”

- Primarily analog data sources

- Devices, machines, people, tools,

cars, animals, clothes, etc.

Consider a 4 tier generalized solutions architecture for the IoT, and its related data flow . . .



… A 4 Tier solution architecture acquires IoT data, in a real time nature that is unfamiliar to traditional IT

The

Edge








Tier 4



Visualization


t0 - real time for IoT data

t0 - real time for IT data

The “Things”

- Primarily analog data sources

- Devices, machines, people, tools,

cars, animals, clothes, etc.



… Data analytics will be executed at 4 main “Compute Domains”

The

Edge








Tier 4



Visualization


4 IoTCompute Domains:

4) “The Spectrum of Insight”


7 Principles of the IoT4) “The Spectrum of Insight”… Data analytics will be executed at 4 main “Compute Domains” … IoT data offers a “Spectrum of Value”, related to place in the data flow

The

Edge








Tier 4



Visualization



“Spectrum of Insight”



… “Time-to-Insight” and resulting “Time-to-Action” will rule

4) “The Spectrum of Insight”5) “Immediacy Versus Depth”

The

Edge








Tier 4



Visualization





… “Time-to-Insight” and resulting “Time-to-Action” will rule… Hence a trade-off between immediacy of insight vs. depth of insight

4) “The Spectrum of Insight”5) “Immediacy Versus Depth”

The

Edge








Tier 4



Visualization



Trade-Off: Faster Insight vs. Deeper Insight



… Compute and analytics will migrate to the left in the 4 Tier solution

4) “The Spectrum of Insight”5) “Immediacy Versus Depth”6) “Shift Left”

The

Edge








Tier 4



Visualization



Compute and Analytics shifts to the left


7 Principles of the IoT4) “The Spectrum of Insight”5) “Immediacy Versus Depth”6) “Shift Left”

7) “The Next ‘V’ ”… The IoT further annihilates

Time and Place constraints


Place Independence

Time Independence

Quadrant of highest efficiency

Tom Bradicich, Doctoral Dissertation, 1996

As any human and machine activity moves to the NE quadrant, it becomes more efficient . . .






Place Independence

Time Independence

Quadrant of highest efficiency

Tom Bradicich, Doctoral Dissertation, 1996

As any human and machine activity moves to the NE quadrant, it becomes more efficient . . .

In the IoT, each of the “3 A’s” can take place at different geographically dispersed locations






•Access from disparate geographic locations

Visibility

The next “V” of Big Data:

The Traditional “V’s” of Big Data:

… The IoT presents the next “V” in Big Data: “Visibility”

7 Principles of the IoT- A Personal Perspective

Tom Bradicich, PhDVP, Server Engineering, HP

Opening Remarks, Industrial Internet Consortium Summit June 23, 2015, Houston, Texas

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7 Principles of the IoT - Industrial Internet Consortium...7 Principles of the IoT-A Personal Perspective Tom Bradicich, PhD VP, Server Engineering, HP Opening Remarks, Industrial