el f enómeno de la n ube

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El F enómeno de la N ube. Bernardo A. Huberman HP Labs. La Evoluci ó n de los Datos y Servicios hacia la Nube. The Cloud, Social, Big Data & Mobile. 1990s. Client/Server. 2000s. The Internet. 1970-80s. Mainframe. 2010s. Una explosión de conectividad. - PowerPoint PPT Presentation

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© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

El Fenómeno de la Nube

Bernardo A. HubermanHP Labs

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.2

La Evolución de los Datos y Servicios hacia la Nube

The Internet2000sClient/Server1990sMainframe 1970-80s The Cloud, Social, Big Data & Mobile

2010s

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.3

Pervasive Connectivit

y

Explosion of Information

400,710 ad requests

2000 lyrics playedon Tunewiki

1,500 pings sent on PingMe

208,333 minutesAngry Birds played

23,148 appsdownloaded

98,000 tweets

Smart Device

Expansion

In 60 sec

today

2013

30Billion

By 2020

40 Trillion GB

… for 8

Billion

10Million

DATA

(1)

(2)

(3)

Devices

Mobile Apps

(4)

(1) IDC Directions 2013: Why the Datacenter of the Future Will Leverage a Converged Infrastructure, March 2013, Matt Eastwood ; (2) & (3) IDC Predictions 2012: Competing for 2020, Document 231720, December 2011, Frank Gens; (4) http://en.wikipedia.org

Una explosión de conectividad

Internet of Things

Big Data and management challenge

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.4

Una Explosión de Datos

202044 ZB(figure exceedsprior forecasts

by 9 ZBs)

2005 2010 20122015

8.5 ZB2.8 ZB1.2 ZB0.1 ZB

(1)

(1) IDC "The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things" April 2014

Cambios tectónicos en la tecnologia

El volumen de datos es demasiado grande para poder moverlo de un servidor a otro

Una generación tan masiva de contenido

Requiere nuevas herramientas para poder navegar ese torrente de datos

Mainframe

>

_

>

_

>

_

The Mainframe era

The PC era

The Cloud era Multi-cloud

Evolución hacia una Multiplicidad de Nubes

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

Problemas

1. Nuevos modelos económicos

2. Como navegar y utilizar el torrente de datos que la nube genera sobre su propio funcionamiento.

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.8

Hybrid Clouds

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.9

Opciones para el Exceso de Consumo

Permiten transitar desde la nube local a la publica

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.10

El Problema de las Reservas

A resource is to be used in period 2

if reserved in period 1, the user pays 1

if bought in period 2, the user pays C >1

each user “knows” the probability, p, that he will need the resource in the next period.

Question: can we discover p from his choices?

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.11

Yes, one can design reservation contracts that are truth-telling.

Or equivalently, option prices that reveal the likelihood that a burst will lead to flexing outside the private cloud.

Bernardo A. Huberman, Fang Wu and Li Zhang, Netnomics Vol. 7. 27-37, (2005).

US Patent No. 8,060,388

Truth-telling Reservation

Today's ticket price $348.00Future ticket price $528.00Price increase ratio 1.517241Risk parameter (k) 1.034483

The buyer pays a premium to lock the ticket price.The probability that he will take the trip can be inferred from his chosen premium.

Probability of going (p) 0.00 0.25 0.50 0.75 1.00 0.01Premium $0.00 $11.25 $45.00 $101.25 $180.00 $0.02Ticket price $528.00 $438.00 $348.00 $258.00 $168.00 $524.40Expected payment $0.00 $120.75 $219.00 $294.75 $348.00 $5.26

$0.00

$100.00

$200.00

$300.00

$400.00

$500.00

$600.00

0.00 0.25 0.50 0.75 1.00

Pre

miu

m a

nd

tick

et

pri

ce

s

Probability of taking the trip

Premium

Ticket Price

$0.00

$100.00

$200.00

$300.00

$400.00

$500.00

$600.00

$0.00 $50.00 $100.00 $150.00 $200.00

Tic

ke

t p

ric

e

Premium

Ejemplo

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.13

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.14

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.15

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.16

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.17

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

El Problema de la Atención

Como prestar atención a lo que es relevante?

E ignorar lo que no es importante?

El dilema del centro versus la periferia.

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.19

Amazon Web Services

Interfaces de Hoy

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.20

HP Cloud Services

Interfaces de Hoy

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.21

HP Helion OpenStack Horizon Dashboard

Interfaces de Hoy

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.24

HP Insight Cluster Management Utility

Interfaces de Hoy

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.25

Algo Diferente

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.26

HP Labs LoomHelion management at scale

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

Clevr: ascendiendo sobre el mar de datos

Dos componentes del sistema:

1. Como decider que mostrar (k out of n items)

2. Como mostrarlo

J. Hailpern and B.A. Huberman, Proceedings of the ACM SIGCHI Symposium on EICS (2013)

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.28

Que mostrar

The system has n different items

But can only present up to k items at any given time

The system is in a “state” given by a set of properties for each item (history, importance, etc)

It is possible to compute an index to each item state.The top list has those items with the largest indices.

Bernardo A. Huberman and Fang Wu, Advances in Complex Systems, Vol. 11,487-496 (2008)

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.29

Como mostrarlo

Clevr: a window into your data

http://socialresearchers.hpl.hp.com/video/CLEVR_HP_JoshBernardo_720p.mp4

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.30

Mas datos

http://www.hpl.hp.com/research/scl

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