BIAG_mzm

8/8/2019 BIAG_mzm

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BIAG: IBM and BIMouzzam Hussain

FUIEMS

CSC - VII

[email protected]

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Contents

Introduction

How to Achieve this Goal

Smarter Cities

Smarter Organisations

Some Projects

Stream Computing

System-S

References

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Whats a Smarter Planet???

+ + =

INSTRUMENTED INTERCONNECTED INTELLIGENT

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Changing the way the world works Smarter Planet

I Need to Work

Smart

I Need to Work

SmartI Need Efficiency

I Need EfficiencyI Need to

Respond Quickly

I Need to

Respond Quickly

New Intelligence

New Intelligence Smart Work

Smart Work Green & Beyond

Green & BeyondDynamic

Infrastructure

Dynamic

Infrastructure

I Need Insight

I Need Insight

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Focusing on the challenges and opportunity for improvement in many key factors in our

lives today

Smarter

=

Planet

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Benifits of a Smarter Planet

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INTERCONNECTED

People, systems and objects can now communicateandinteract with each other in entirely new ways.

INSTRUMENTEDWith the advent of new, low cost sensors, we now have the

ability to measure, sense and see the condition of most things

INTELLIGENT

We can now sense & respond to changes more quickly and

accuratelyget better results, and begin predict future conditions.

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With the advent of new, low cost sensors, wenow have the ability to measure, sense and

see the condition of most things.

Today, there are 1 billion transistors per

humancosting 1/10,000,000 of a cent.

By now, there are almost 30 billion RFID tags

embedded across our entire ecosystem.

Everything will become instrumented:

- transportation networks

- supply chains- cities

- even natural systems like rivers.

Instrumented

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People, systems and objects can nowcommunicateand interact with eachother in entirely new ways.

The internet of people is nearly 2 billion strong.Almost one third of the worlds population is on theweb.

There are already about 4 billion mobile phonesubscribers worldwide..

The Connectivity of things:

from vehicles to appliances, cameras,

roadways, pipelines, even livestock will grow into the trillions of connections.

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Interconnected

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We can now sense & respond to changes morequickly and accuratelyget better results, and

begin predict future conditions.

Every day, 15 petabytes of new information are

being generated. This is 8x more than the

information in all U.S. libraries.

An average company with 1,000 employees

spends $5.3 million a year to find information

stored on its servers.

Business Analytics & Optimization:

is necessary to help us make sense out of themassive amounts of data generated by these

intelligent devices.

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Intelligent

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The world is getting Smarter.

Smart trafficsystems

Smart water management

Smart energygrids

Smarthealthcare

Smart foodsystems

Intelligentoil fieldtechnologies

Smartregions

Smartweather

Smartcountries

Smart supplychains

Smart cities

Smart retail

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Interconnect systems and industries to create a seamless and efficient

societal structure.

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EDUCATION TRANSPORTATION SOCIAL SERVICES UTILITIES ENERGY HEALTHCARE COMMUNICATIONS

RETAIL AUTOMOTIVE FINANCE MANUFACTURING FOOD POSTAL SERVICE TECHNOLOGY DEFENSE CUSTOMS

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To realize the benefits of sustainability, an organization must take

a systemic view of its value chain .

WORKFORCE

MANUFACTURING

SUPPLY CHAIN

IT CUSTOMERS

TRANSPORTATION FACILITIES

Smarter Organisations

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Intelligent systems gather, synthesize and apply information

Smart water

Apply monitoring andmanagement technologies tohelp reduce the use of water, aswell as related energy andchemicals.

Smart traffic

Use real-time traffic predictionand dynamic tolling to reducecongestion and its byproductswhile positively influencingrelated systems.

Smart energy

Analyze customer usage andprovide customized productsand services that help to boostefficiency from the sourcethrough the grid to the enduser.

Water

Energy

Chemicals

Carbonemissions

Congestion

Publictransportation Smart home

Carbon

emissions

Energysources

Energy grid

Energy

Noisepollution

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IBMs Automotive 2020 Study confirmed that Business Intelligence

provides the opportunity to innovate and act in new ways:

Smarter Vehicles

Smarter Decision Support Tools

Smarter Supply Chains

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From an Information Complexity Perspective

+ + =

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Some Projects ...

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- 19%

- 26%

- 22%

ClearlyMeasurableResults

25% reduction in traffic entering cordon «.. 50% reduction in commute time

15% reduction in CO2 emissions

$120M/yr in revenue to City of Stockholm; payback in 4 years

Congestion charges will fund transit improvements

Smarter transportation managing congestion:

Stockholm

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Smart Work for Oil Production

Efficiency

Working Smarter

Smart wireless sensors forsubsurface monitoring

Interdisciplinary collaboration

Real-time data access

Smarter Business Outcomes

2X the industry productionaverage

30% reduction in

maintenance costs

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Working Smarter

New framework to integratecustomer-facing processes

Stronger insight to maximize valueof customer relationships

Smarter Business Outcomes

90% reduction in new

mobile account activation time

1.5 million new customers

processed per month

Smart Work for Mobile

Communications Agility

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SMARTER IS Reducing a citys traffic congestion

and emissions through road usage

tolls

And today

SMARTER IS

Getting real-time line of sightacross the transportation supply

chain

Stockholm, Sweden: An intelligent toll system in the city centerresulted in 20% less traffic, 40% lower emissions and 40,000additional users of the public transportation system.

SMARTER IS Knowing where your in-process

components are on the factory

floor

BMW: Implemented RFID container tracking system

improving utilization by 10-20%.

SMARTER IS

Knowing real-time aboutinventory changes in your supply

chain

Building a Smarter Planet

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Lets Build a Smarter Planet

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The Stream Computing Paradigm

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What is Stream Processing?

Database/data

warehouse

Data Sources

data

Stream Processing System

Process data as it is

continuously generated

Extracting and organizing

information and intelligence

Minimizing time to react

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Without Stream Processing?

Database/data

warehouse

Data Sources

data

Process data as it is

continuously generated

Extracting and organizing

information and intelligence

Minimizing time to react

Transaction

processing Batch

processing

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Stream processing will be everywhere

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What Makes a Stream Processing

System?

Stream Processing System

ToolingDeveloper UI

Composition

UIAnalyst UI

Hardware Platform Servers, networks, storage,

operating system, file system

Runtime Environment Job management, resource

management, content routing,

programming model, object store

Application Interconnection of operators

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Continuous Event and Stream

Processing

Analysis Complexity

Time Sensitivity

Event/Data Volume & Diversity

High Volume

Complex Analysis

Time Sensitive

Stream Processing enables

± high message/data rates,

± low (msec-secs) latency,

± advanced analysis

Todays Complex Event Processing (CEP) solutions target

± 10K messages/sec,

± secs-minutes latency,

± rules-based analysis

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System S Stream Processing

System S High-Perf ormance St ream Comput i ng Pl at f orm

Olivier Verscheure

IBM T.J. Watson Research Center

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System S Stream Processing

New st ream computing paradigm

Pull information from anywhere in real time

Ultra-low latency, ultra-high throughput

Scalable

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Application Programming

Consumable

Reusable set of operators

Connectors to external staticor streaming data sources andsinks

Source Adapters Sink AdaptersOperator Repository

SPADE: Stream processing dataflow scripting language

Automated Application Composition

Platform Optimized Compilation

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SPADE

SPADE (St ream Pr ocessi ng A ppli cat i on Decl ar at ive Engi ne) is an

intermediate language for streaming applications.

± Simplifies design of applications used by System S

± Hides complexities of

manipulating data streams (e.g., contains generic language support fordata types and building block operations)

fanning out applications to distributed heterogeneous nodes

transporting data through diverse computer infrastructures (ingesting

external data, routing intermediate results, looping in feedback, branching,

outputing the results, ...)

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Current Projects

Software imaging with cleaning

± Joint algorithmic/software/hardware optimization

± in collaboration with Tim Cornwell et al.

Astronomical Signature Clustering

± in collaboration with Bo Thide, Jan Bergman, Lars K Daldorff

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References...

http://www.ibm.com/smartercties

http://www.ibm.com/think

http://www.media.mit. edu

http://www.media.mit.edu/research/groups/smart-cities

http://asmarterplanet.com/

http://www.worldcommunitygrid. org/

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Email me at [email protected]

BIAG_mzm

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