www.data61.csiro.au

Analytics at the Edge – the Effects of the Internet of Things (IoT) Data ExplosionArkady Zaslavsky

• Data61

CDO Forum, Sydney, 11 February, 2016

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Where is The Internet of Things

3

Gart

ner,

2014

based on standard &

interoperable communication

protocols

A dynamic global network infrastructure

with self configuring

capabilities

are seamlessly

integrated into the information

network.

virtual personalities, use intelligent

interfaces, and

where physical &

virtual “things” have identities,

physical attributes,

Internet of Things

IoT

The Internet of Things is composed of Smart Objects (SO) Or Internet Connected Objects (ICO)

5

Smart Objects: abstract vision

Objects that are able to sense the environment, interpret the environment, self-configure, interact with other objects and exchange information with people.

Smart Refrigerator

www.samsung.com

The Internet of Things is composed of Smart Objects (SO) Or Internet Connected Objects (ICO)

6

Smart Objects: implementation vision

Objects have communication capabilities Objects have storage capabilities Objects have unique ID Objects can be addressable on Internet

(URI/IP)

Internet

Where Is This “Big Data” Coming From ?

12+ TBs

of tweet data every day

25+ TBs oflog data

every day

? TB

s of

data

eve

ry

day

2+ billion people on

the Web by end

2011

30 billion RFID tags today

(1.3B in 2005)

4.6 billion camera phones

world wide

100s of millions of

GPS enabled

devices sold

annually

76 million smart meters in 2009… 200M by 2014

The large Hadron Collider at CERN produces so much data that scientists must discard most of it, hoping they haven’t thrown away anything useful.

• Weather prediction combines data from multiple earth satellites with massive computing power.

• Most of the satellites belong to the U.S., but the Europeans have a more powerful computer.

• Our weather satellites are old. http://tinyurl.com/cvpz5qe

Harry E. Pence 2013

17 miles

Some predict that the Internet of Things will soon produce a massive volume and variety of data at unprecedented velocity. http://tinyurl.com/ahytzdf

• Welcome to the new information age

http://tinyurl.com/ahytzdf

CSIRO Technologies and Use Cases

CSIRO IoT middleware OpenIoT: Open-source solutions for

the Internet of Things (IoT) Powerful real-time analytics and

visualisation engine - SensorDB Discovery of sensors, data streams,

semantics and context in the IoT Mobile analytics - distributed

processing of sensor data streams on heterogeneous platforms, including smartphones

Context- and situation-awareness & reasoning on the IoT

Processing & management of big data coming from IoT

Discovery of data, context, semantics on the IoT – driven paradigm shift

Open Source

Linked DataCloud Computing

Internet of Things

OpenIoT FactsheetContract No.: 287305Objective: ICT-2011.1.3Internet-connected ObjectsCoordinator:NUIG-DERI, Galway, IrelandContact Person:Dr. Martin SerranoDERI NUI GalwayIDA Business ParkLower Dangan,Galway, IrelandEC Contribution2,455,000.00 Euro

Project Start Date:01 Dec 2011Duration:36 months

Open Source Cloud Solution for the Internet of Things

Management

Data Privacy andSecurity

Sensor Mobility

http:\\www.openiot.eu

OpenIoT providing a cloud-based middleware infrastructure in order to deliver on-demand access

to IoT services, which could be formulated over multiple infrastructure providers.

(such as smart cities and smart enterprises)

Knowledge-Based Future Internet Step 2:

Sensor/CloudFormulation

Step 1: Sensing-as-a-Service

Request

Step 3: Service Provisioning

(Utility Metrics)

Infrastructure’s provider(s) (e.g., Smart City)

OpenIoT User (Citizen, Corporate)

Domain #1

Domain #N

OpenIoT General Vision

Overview of (Supported) OpenIoT Capabilities

IoT Platform Architecture

& Capabilities

Sensor/ICO Deployment

& Registration

Dynamic Sensor/ICO Discovery

Visual IoT Service

Definition & Deployment IoT Service

Visualization (via

Mashups)

Resource Management

and Optimization

What can I do with OpenIoT?

IoT will be adopted en-masse when we build and provide tools for user-driven development & deployment of IoT services and

applications

High Level Architecture

OpenIoT IDEDiscover

Monitor

Define

Configure

Present

Present

Present

Authenticate

OpenIoT – Use Cases

www.youtube.com/OpenIoT

Intelligent Manufacturing at Sensap, Athens, Greece

Smart Campus at KIT, Karlsruhe, Germany

Smart City at UNIZ, Zagreb, Croatia Assistant Living

/Healthcare at AL, Malta

Phenonet at CSIRO, Australia

A Phenonet OpenIoT for Smart Farming

“In the next 50 years, we will need to produce as much food as we have ever produced in the entire human history.”

Objectve - Increase crop yield by performing: Sensor-based monitoring of plants, soil and env.

conditions Data analysis for interactive assessment of crop

performance Crop selection based on expected conditions,

irrigation, and fertilization

CSIRO Things – Sensors, cameras, nanosensors on the ground, ocean, autonomous vehicles & airships

Phenonet: Example with Soil Moisture Sensor

• Gypsum Block Soil Moisture Sensors, GBHeavy100

• Canberra region• Soil moisture tension• Experiment is to evaluate the effect of

sheep grazing on crop re-growth by looking at root activity, water use, crop growth rate and crop yield

Phenonet: Soil Moisture Sensors @ work

Environmental SensingDense in-situ measurements

Large spatio-temporal sampling of the environment

Provide data on eco-system health, analysis of differences between rehabilitated and remnant sites

Springbrook National Park • 175 microclimate

nodes, ~1km2 area• ~2M readings a day

Stanwell Meandu mine• Soil water profiling• BioCondition

Wildlife MonitoringContinental scale tracking of Flying Foxes

Near-perpetual position, activity, and condition tracking across Australia

Learn mobility patterns of individuals and uses low power on-board sensors for energy-efficient GPS sampling

Flying Fox camps

Camazotz device

Long-term Tracking with Camazotz - Dr. Raja Jurdak

Camazotz Mobile Tracking Platform

• Multi-modal sensing platform with short-range radio transceiver:• GPS receiver• Inertial sensors (accelerometer, magnetometer)• Pressure and ambient temperature sensor• Microphone

27 |

R. Jurdak, P. Sommer, B. Kusy, et al. “Multimodal Activity-based GPS Sampling,” IPSN 2013.

Long-term Tracking with Camazotz - Dr. Raja Jurdak

Network of Base Stations

28 |

100 km

Cattle Sensor NetworksSensorize the farm to improve productivity and feed efficiency

Deploy unobtrusive sensors and actuators on and inside livestock and in the farm environment

Measure position, context, food intake, and behavior of farm animals and correlate these with environmental factors

Guardian Angel• Monitors environment• Tracks people and assets• Make work safer for humans

Guardian Mentor• Worker augmentation• Provides skills and training• Make work easier for human

Guardian Helper• Provides physical assistance• Robotic co-workers• Works with humans

Guardian Worker • Provides remote assistance• Tele-operated robotics• Work for humans

Guardian:Safety focused High Performance Worker System

Augmentation• Collaboration• Interface• Observatory

Assistive• Navigation• Manipulation• Cooperation

Awareness• Monitoring• Modeling• Management

Social Science

Human Factors

Informatics

Communications

Sensors

Robotics

Engineering

Investment Innovation Implementation

Worker Centric: Increase productivity, safety and adaptability of future workforce through virtual and assistive automation technologies

• A system that provide increased safety to the human workers without intervention.

• The system automatically monitors, where people are and what they are doing. From this it is able to estimate risk and alert people and machines.

• Layers of safety to provide increased reliability

Guardian AngelWhat if you never worked alone?

Lightweight Assistive Manufacturing Solutions | NMW 2013

bIoTope and IoT EPI (Call 30)

Presentation title | Presenter name32 |

bIoTope - Building an IoT OPen innovation Ecosystem for connected smart objects – H-2020, ICT30

bIoTope aims to develop an open, interoperable, secure and highly context-sensitive Systems-of-Systems (SoS) platform for IoT that will enable developers to ‘publish’, ‘consume’ and ‘compose’ IoT services without any programming

The overall aim for bIoTope is to lay the foundation, both technologically and business-wise, of open innovation ecosystems for the IoT and Platforms for Connected Smart Objects. To this end, bIoTope will develop a standard-based SoS platform around Open API standards that enables new forms of collaboration and co-creation of services across multiple domains.

bIoTope challenges: overcome the fragmentation of vertically-oriented closed systems and

architectures establish a clear framework for context-driven Security, Privacy and Trust that

facilitates the responsible access, use, and ownership of data, even when data is stored in verticals/silos

develop pilots for providing proofs-of-concept of the commercial replicability of developed solutions

bIoTope - Building an IoT OPen innovation Ecosystem for connected smart objects (2)

35 |

Presentation title | Presenter name36 |

www.data61.csiro.au

Dr Arkady Zaslavsky, ProfessorSenior Principal Research ScientistEmail: arkady.zaslavsky@csiro.au

Thank you !