Yogesh..BG18th Oct 2016

IOT Introduction Edgent Motivation Stream Processing Echo Syastem Real time Applications of Edgent Why Edgent? Advantages SDK

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Agenda

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Introduction

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• Data - massive, it is complex and variable. Billions of sources.

• Machine learning to organize the data and generate insights.

• Learned self-correction and adaptation.

• Reduce energy and optimize asset utilization.

• Edge: Constrained compute platform, Limited connectivity, Mobile or static.

• Send device events

• Receive device command

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Edgent

• Open Source @ ASF, initially by IBM.

• programming model and micro-kernel style runtime

• embedded in gateways and small footprint edge devices

• enabling local, real-time, analytics on the continuous streams of data

• Works in conjunction with central analytic system

• Intelligence in data in propagation.

• Connectors

• Development mode – Web console

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Motivation

• Reduce the data volume

• Apply intelligence even when am offline

• edge-to-center analytics

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Stream Processing• filter

• split

• Union

• partitioned window

• continuous aggregation

• Batch

• Map, Flat Map

• Join

• Deadband filter

Echo System

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Edge device

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ytics

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Send Events

Receive Cmds

Applications

Messaging Queue

Time series DB

Centralized Runtime-analytics

server

Reporting Engine

DB

Echo System

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Applications

• SilverHook Powerboats

• Smart sprinkler

• Tour de France

Why Edgent?

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Reduced Communication Costs

Local and Faster Time to Action`

Learning From Related Devices

Advantages

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• Multiple Independent applications

• Publish subscribe – topic based

• Provide new Services to client

• Functionality added using system application

• Applications can be registered without being started

• Start the application

• Device commands can control the application

• Send additional data related to problem

• Temporarily reduce resource consumption

SDK

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• Micro kernel style – oplet

• 512MB – Demoed on Rasberry PI

• Right now in java but can extnd to Swift, Scilab, Python

Thank YouYogesh..BG

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