Srinath Perera, Ph.D.Director of Research

WSO2 Inc.

Internet of Things and Big Data

Outline• IOT• Why Bigdata?• A reference

Architecture• Technologies• Usecases

Photo by John Trainoron Flickr http://www.flickr.com/photos/trainor/2902023575/, Licensed under CC

Internet of Things• Currently physical world

and software worlds are detached

• Internet of things promises to bridge this– It is about sensors and

actuators everywhere – In your fridge, in your

blanket, in your chair, in your carpet.. Yes even in your socks

– Google IO pressure mats

If a tree falls in a forest and no one is around to hear it, does it

make a sound?

A day in your life Think about a day in your life?

– What is the best road to take?– Would there be any bad weather?– How to invest my money?– How is my health?

There are many decisions that you can do better if only you can access the data and process them.

http://www.flickr.com/photos/kcolwell/5512461652/ CC licence

Analytics• Useful information

about your organization/ system

• E.g. Min, Max, mean, historical trends, grouping etc.

• Technical term is KPIs (Key performance Indicators )

Real Time Analytics• Most first usecases were of

batch processing, which take minutes if not hours to run

• Many insights you rather have sooner– Tomorrows weather – Heart condition – Traffic congestion – Natural disaster – Stockmarket Crash

Making Sense of Data• To know (what happened?)

– Basic analytics + visualizations (min, max, average, histogram, distributions … )

– Interactive drill down• To explain (why)

– Data mining, classifications, building models, clustering

• To forecast – Neural networks, decision

models

Data Processing Landscape

Complex Event Processing

Internet of Things Architecture

Usecase 1: Travel• Collect traffic data +

transportation data from sensors

• Build a model (e.g. Car Following Models)

• Predict the traffic .. Possibilities on congestion

• E.g. divert traffic, adjust troll, adjust traffic lights

Usecase 2: Football Game• Event Processing

challenge • Real football game,

sensors in player shoes + ball

• Events in 15k Hz • Event format

– Sensor ID, TS, x, y, z, v, a• Queries

– Running Stats– Ball Possession– Heat Map of Activity – Shots at Goal

Conclusions

• IOT and Bigdata• Case for analytics • Data processing architecture • Overall architecture • Conclusion

Questions?