7 Principles of the IoT

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1 - A Personal Perspective Tom Bradicich, PhD VP, Server Engineering, HP Opening Remarks, Industrial Internet Consortium Summit June 23, 2015, Houston, Texas

2 the IoT presents a big analog data problem the oldest, fastest, and biggest of all big data sensor data is derived from predominately analog sources - thus unique data management needs

3 the IoT presents perpetual connectivity to the product and user, affording 3 main supply side benefits

4 The Things - Primarily analog data sources Consider a 4 tier generalized solutions architecture for the IoT, and its related data flow... Tier 1 Tier 2 Tier 3 Sensors/Actuators (Wired, Wireless) Internet Gateways, Data Acquisition Systems (Data Aggregation, A/D, Measurement, Control, Actuation) The Edge Edge IT (Analytics, Pre-processing) Tier 4 Data Center / Cloud (Analytics, Management, Archive) - Devices, machines, people, tools, cars, animals, clothes, etc. Visualization Acquire Data Flow: Real-Time In Motion Early Life At Rest Archive

5 A 4 Tier solution architecture acquires IoT data, in a real time nature that is unfamiliar to traditional IT The Things - Primarily analog data sources Tier 1 Tier 2 Tier 3 Sensors/Actuators (Wired, Wireless) Internet Gateways, Data Acquisition Systems (Data Aggregation, A/D, Measurement, Control, Actuation) The Edge Edge IT (Analytics, Pre-processing) Tier 4 Data Center / Cloud (Analytics, Management, Archive) - Devices, machines, people, tools, cars, animals, clothes, etc. t 0 - real time for IoT data Visualization t 0 - real time for IT data Acquire Data Flow: Real-Time In Motion Early Life At Rest Archive

6 Data analytics will be executed at 4 main Compute Domains Tier 1 Tier 2 Tier 3 Sensors/Actuators (Wired, Wireless) Internet Gateways, Data Acquisition Systems (Data Aggregation, A/D, Measurement, Control, Actuation) The Edge Edge IT (Analytics, Pre-processing) Tier 4 Data Center / Cloud (Analytics, Management, Archive) 4 IoT Compute Domains: Visualization Acquire Data Flow: Real-Time In Motion Early Life At Rest Archive

7 Data analytics will be executed at 4 main Compute Domains IoT data offers a Spectrum of Value, related to place in the data flow Tier 1 Tier 2 Tier 3 Sensors/Actuators (Wired, Wireless) Internet Gateways, Data Acquisition Systems (Data Aggregation, A/D, Measurement, Control, Actuation) The Edge Edge IT (Analytics, Pre-processing) Tier 4 Data Center / Cloud (Analytics, Management, Archive) 4 IoT Compute Domains: Visualization Spectrum of Insight Acquire Data Flow: Real-Time In Motion Early Life At Rest Archive

8 5) Immediacy Versus Depth Time-to-Insight and resulting Time-to-Action will rule Tier 1 Tier 2 Tier 3 Sensors/Actuators (Wired, Wireless) Internet Gateways, Data Acquisition Systems (Data Aggregation, A/D, Measurement, Control, Actuation) The Edge Edge IT (Analytics, Pre-processing) Tier 4 Data Center / Cloud (Analytics, Management, Archive) 4 IoT Compute Domains: Visualization Acquire Data Flow: Real-Time In Motion Early Life At Rest Archive

9 5) Immediacy Versus Depth Time-to-Insight and resulting Time-to-Action will rule Hence a trade-off between immediacy of insight vs. depth of insight Tier 1 Tier 2 Tier 3 Sensors/Actuators (Wired, Wireless) Internet Gateways, Data Acquisition Systems (Data Aggregation, A/D, Measurement, Control, Actuation) The Edge Edge IT (Analytics, Pre-processing) Tier 4 Data Center / Cloud (Analytics, Management, Archive) 4 IoT Compute Domains: Visualization Trade-Off: Faster Insight vs. Deeper Insight Acquire Data Flow: Real-Time In Motion Early Life At Rest Archive

10 5) Immediacy Versus Depth 6) Shift Left Compute and analytics will migrate to the left in the 4 Tier solution Tier 1 Tier 2 Tier 3 Sensors/Actuators (Wired, Wireless) Internet Gateways, Data Acquisition Systems (Data Aggregation, A/D, Measurement, Control, Actuation) The Edge Edge IT (Analytics, Pre-processing) Tier 4 Data Center / Cloud (Analytics, Management, Archive) 4 IoT Compute Domains: Visualization Compute and Analytics shifts to the left Acquire Data Flow: Real-Time In Motion Early Life At Rest Archive

11 7 Principles of the IoT 5) Immediacy Versus Depth 6) Shift Left 7) The Next V The IoT further annihilates Time and Place constraints As any human and machine activity moves to the NE quadrant, it becomes more efficient... Place Independence Quadrant of highest efficiency Tom Bradicich, Doctoral Dissertation, 1996 Time Independence

12 7 Principles of the IoT 5) Immediacy Versus Depth 6) Shift Left 7) The Next V The IoT further annihilates Time and Place constraints Place Independence As any human and machine activity moves to the NE quadrant, it becomes more efficient... Quadrant of highest efficiency In the IoT, each of the 3 A s can take place at different geographically dispersed locations Tom Bradicich, Doctoral Dissertation, 1996 Time Independence

13 7 Principles of the IoT The Traditional V s of Big Data: 5) Immediacy Versus Depth 6) Shift Left 7) The Next V The IoT further annihilates Time and Place constraints The IoT presents the next V in Big Data: Visibility The next V of Big Data: Visibility Access from disparate geographic locations

14 - A Personal Perspective Tom Bradicich, PhD VP, Server Engineering, HP Opening Remarks, Industrial Internet Consortium Summit June 23, 2015, Houston, Texas

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