[email protected] @ajitjaokar big data for smart ...€¦ · “little shanghai” is the...
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@AjitJaokar
Big Data for Smart cities ..
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Ajit Jaokar
World Economic Forum - future of the Internet UK based - Hands on Publisher (futuretext) - Author (Mobile Web 2.0, Social Media Marketing, Open Mobile) - Chair: Oxford University's Next Gen Mobile Applications panel - PhD student UCL/UK - Consulting – Operators, Governments/EU, Startups –
Recent and forthcoming talks include Mobile world congress
(2007,2008,2009, 2011), CEBIT, Stanford University - MIT Sloan -
Web 2.0 expo - Ajaxworld Supernova - CNN money - BBC - Oxford
University European parliament Smart cities: Advisory board – World Smart Capital(Amsterdam), Connected Liverpool
Global top 20 wireless blogger According to fierce wireless www.opengardensblog.futuretext.com Phd research on resilience of sensor networks in White
Space spectrum. Advisory board World Smart Capital
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ROADMAP
• One Buzzword is not enough? ;)
• Smart Cities
• Big Data
• Significance
• Connected Liverpool
• Call to action (how you can contribute and benefit) - Open source
algorithms for smart cities ..
• Presentation – verbose (intentionally!) + available ..
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Source:http://en.wikipedia.org/wiki/File:Dacom_DFC-10.jpg
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SMS, WAP, Voice MMS, V.s Facebook , iPhone, Android, Twitter
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Platform - light bulbs and transmission towards
Source- http://www.kulekat.com/led-home-lighting/installing-low-energy-light-bulbs.html
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Wisdom of the earth?
Internet + Internet of things = Wisdom of the earth - Wen Jiabo
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1. Songdo, South Korea
The world’s most expensive privately developed city (cost: $35 billion and
climbing) is also the flagship of Cisco’s Smart + Connected Communities
Songdo will be the test bed Cisco’s vision of ubiquitious telepresence –
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10 smartest cities – Fast company
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2. Lavasa, India
If all goes according to plan, next year Lavasa will become the first city in history to
float itself in an IPO worth 20 billion rupees ($437 million) as part of a spin-off from its
parent, Hindustan Construction Company. The smarts will be provided courtesy of
Wipro and Cisco
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3. PlanIT Valley, Portugal
The first city to be designed like software – complete with its own “Urban OS” – is
slated to break ground this year in the hills outside Porto. brainchild of software
startup Living PlanIT, plans call for 150,000 residents, nearly all of whom will be its
partners’ employees. In turn, they’ll be expected to experiment on themselves.
Buildings, sensors, and services alike will be connected through the cloud, and
obsolete buildings will be “decommissioned”
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Scheduled to break ground next year, Russian president Dmitry Medvedev’s pet
project is his country’s second attempt to build its own Silicon Valley – the Soviet-era
version didn’t work out so well. “Technopolis Skolkovo’s” centerpiece will be the
campus of the Moscow School of Management .In June, Cisco pledged to invest $1
billion in the project and establish Skolkovo as Russia’s first smart city, focused on
smart grids, transportation, education, and health care.
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5. Masdar, United Arab Emirates
Masdar is low-tech in its design, according to The Guardian's Rowan Moore: “The Masdar plan
has been accused of being gated and exclusive. It is not, although there is something spooky
in the controls it employs in the name of the environment – a touch of eco-Orwell or at least
eco-Huxley. A hidden brain, for example, knows when you enter your building, so that your flat
can be cooled before you arrive, while in public places flat screens broadcast uplifting news
on the environmental performance of the complex.”
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6. Wuxi, China
“Little Shanghai” is the epicenter of China’s evolving strategy to own the Internet
of Things, an effort which kicked into high gear this summer after Chinese
premier Wen Jiabao gave a speech in the city in which he offered the equation
“Internet + Internet of Things = Wisdom of the Earth.” China appears ready to win
the smart city market as surely as its manufacturers conquered solar panels.
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7. King Abdullah Economic City, Saudi Arabia
Rising from the sands near Jeddah, King Abdullah Economic City – abbreviated KAEC,
pronounced “cake” – is just one of four new instant cities explicitly intended create a million-
plus jobs and to house nearly half of the 10 million Saudis under the age of 17 -- a largely
uneducated workforce described as a “human time bomb.” To that end, KAEC was conceived as
Saudi Arabia’s Silicon Valley (along with a port expected to open next year). KAEC’s developers
have promised a smart city that is “7-24-60,” as in services are ready to go 24 hours a day,
seven days a week, and are ready within 60 minutes.
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8. Dubuque, Iowa
In 2009, IBM declared Dubuque would become the “first integrated, smart city” in
America, with interlocking systems watching the interplay between water, electricity,
and transportation.
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9. Ho Chi Minh City, Vietnam
IBM dispatched a SWAT team of executives to Vietnam’s largest city this year
on a mission to develop a strategy for upgrading the city’s infrastructure. The
plan is to create a software model capable of predicting when the city’s
busiest thoroughfares will clog with motorbikes – so the city can change
traffic signals as needed or dispatch extra traffic cops to the scene.
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10. Nano City, India
Maybe 2011 will be the year Hotmail creator Sabeer Bhatia finally starts
construction of his dream city, which he hatched in 2006 as – you guessed it –
India’s answer to Silicon Valley.
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Hammer and nail
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“If all you have is a hammer, everything looks like a nail.” (Maslow)
For example:
For Microsoft, convergence is a software problem: to be solved using an upgrade of the windows
operating system (Microsoft’s strength). Intel sees convergence as a ‘microprocessor problem’, -
Intel inside everything! Cisco sees convergence as a home networking problem, to be solved with ..
guess what .. networking! Translated to video conferences Yahoo and Google see convergence as
an online services problem. To them, the solution lies through the web browser – a common element
in all devices. Sony sees convergence as a consumer hardware problem, to be solved with
consumer devices, new standards built around its own strengths like the playstation Handset
vendors: Nokia, Google, Samsung etc all look at the device
as the on ramp to convergence ..
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Instrumentation (recording of data) is not enough ..
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Instrumentation (recording of data) is not enough ..
In Star Trek, “tricorders” are handheld devices used for sensor scanning, data analysis
and recording data. A company called Vital Technologies intentionally replicated it in the
mid-90s with a device that it called the TR-107 Mark 1. Like its fictional counterpart, the
device included several scientific functions such as an electromagnetic field meter,
thermometer, barometer and light meter. the company sold about 10,000 of these units
before it went out of business.
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ERP for Smart cities?
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Sounds like the ERP systems of the late 1990s ..
A consultant’s dream .. A customer’s nightmare ..
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Data.gov – Google powermeter – MSFT hohm
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Data.gov 35m to 8m Vivek Kundra, Google powermeter, MSFT hohm
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Complex ecosystems cannot have a business model ..
Complex ecosystems are like ant colonies ..
They don’t have a business model per-se which can be
Proven .. If anyone says otherwise, run as fast as you can ..
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http://2.bp.blogspot.com/_qj2X4zsPSgY/SmEKUZxNX0I/AAAAAAAAAWk/6hqInfZ60qU/s400/boy-running-away.jpg
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So what makes a city smart?
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What makes a city Smart? A non vendor driven definition of a ‘Smart City’
The closer a city behaves to the ethos of the Internet, the smarter it is
That means, the city is a platform – an enabler for the people ..
So, empowering people is at the centre of the perfect storm
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Apps for Smart city
=
Intelligent places + Data + Mobile apps + Community + Services + Algorithms
=
City as a platform
So, what does a Smart City look like?
A city can be defined as smart when investments in human and social capital
and traditional (ex transport) and modern(ex ICT) communications
infrastructure fuel sustainable economic development and a high quality of
life with a wise management of natural resources through participatory
governance
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Elements in most cases of smart city Source: Xi She (adapted from)
1) sensible - sensor sensing the environment
2) connectable - a networking devices bring the sensing information to the web
3) accessible - the broader information of our environment is published on the web,
and accessible to the user in web, (web)
4) ubiquitous - the user can get access to the information thought web, but more
importantly in mobile any time, any place (mobile)
5) sociable - the user acquired with the information, and publish it though his social
network (social network)
6) sharable - shared are not limited to data, but also to the physical object, when
some object are in free status, the people can get the notification and use them. (web,
mobile )
7) Visible/augmented - to retrofit the physical environment, make the hidden
information seen not only through mobile device by individual but seen in naked eyes in
more border range of the physical places like street signs
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8) Actuated (not just sensed but triggered)
9) Continuous (session)
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The magic wand
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The phone becomes a magic wand to the cloud services: Mobile sensor based
interface to the cloud to jump start the Internet of things ..
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Big Data ..
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There is a story : that a large supermarket chain, usually Wal-Mart, did an
analysis of customers’ buying habits and found a statistically significant
correlation between purchases of beer and purchases of nappies (diapers in
the US). It was theorized that the reason for this was that fathers were
stopping off at Wal-Mart to buy nappies for their babies, and since they could
no longer go down to the pub as often, would buy beer as well. As a result of
this finding, the supermarket chain is alleged to have the nappies next to the
beer, resulting in increased sales of both.
So, the value for Big Data and Smart cities lies in finding the ‘ Nappies and
Beer’ equivalent for Smart cities – a role involving the Data scientist with a
knowledge of Smart cities. It also involves working with many new
technologies, ideas and large volumes of data.
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These 12 Hellholes Are Examples Of What The Rest Of America Will Look
Like Soon.
#1 Gary, Indiana #2 Chicago, Illinois #3 Detroit, Michigan #4 Stockton,
California #5 Flint, Michigan #6 West Philly #7 Cleveland, Ohio #8 Camden,
New Jersey #9 St. Louis #10 New Orleans, Louisiana #11 Oakland,
California #12 Baltimore, Maryland
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Open source Big Data algorithms for Smart cities ..
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the city is now seen as a vibrant ecosystem. We see Smart city services as
a feedback loop based on Smart city indicators, Big Data and the idea of
the city as a platform
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What makes a city smart? - Eberhard van der Laan
People
Grass roots innovation
Sensors
Open Data
Big Data (analytics) and
technology.
To this mix, we could add ‘algorithms’.
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Can space data (earth observation data) be combined with sensor data?
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Smart city service themes
Smart city services could be based on the following themes
- Smart Manufacturing
- New production tools (home produced food, energy, micro
manufacturing, 3D printing)
- Collaboration / sharing of resources via the Internet
- Urban farming
- Apps relating to Open data
- Apps relating to Smart energy
- Apps relating to Smart transportation
- Smart health
- Technology (especially related to open source hardware and s/w)
- Culture (hacker movement)
- Sustainability
- Health
- And Art
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The architecture includes the following components:
MQTT
webinos
Hadoop, Hive
Redis
memcahced
mongodb
Apache solr
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Looking for cities ..
- Big Data for Smart cities
- Open source Big Data Smart city algorithms ..
- Earth observation data + sensors?
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Ajit Jaokar
@ajitjaokar