esade international summer program 2015: cloud computing & future

Sant Cugat, July 2015

Jordi Torres, UPC-BSC

CLOUD COMPUTING

Content

CLOUD COMPUTING

1. Cloud is changing everything 2. How do we get here? 3. Energy consumption

4. What is Cloud Computing? 5. Definitions and Types

6. Cloud Computing Inhibitors 7.What next?

1. Cloud is changing everything

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Sold: 28.000.000

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Revenues: 30.000.000$

Concerts tour 2010

Revenues: 70.000.000$

NEW

from  physical  movement  to  the   movement  of  information

Courtesy: D

ani Urgell – C

ISCO

Desintermediation

music:  Itunes,  spotify  books:  Amazon  education:  e-­‐learning  UOC,  MIT  travels:  eDreams  Retail:  Zara    .  .  .

ALL  SECTORS

Content

CLOUD COMPUTING

1. Cloud is changing everything 2. How do we get here? 3. Energy consumption

4. What is Cloud Computing? 5. Definitions and Types

6. Cloud Computing Inhibitors 7.What next?

2. How do we get here?Pilot ACE, UK.1950

EVERY  15  YEARS  …

1950

That has redefined IT and industry in general

A  major  technological    jump  in  IT

mainframes

1950 1980 201019951965 2025

Personal  computers

1950 1980 201019951965 2025

internet

1950 1980 201019951965 2025

HUGE  DATA  CENTERS

28.000  m2

Source:  http://www.facebo

ok.com

/med

ia/  

set/?set=a.190842620965185.47008.140375289345252

40  Mw

HUGE  DATA  CENTERSFoto:  G

oogle

HUGE  DATA  CENTERSFoto:  G

oogle

>  football  pitch  x  4

HUGE  DATA  CENTERSFo

to: c

orte

sía

BS

C

Industrialization  of  IT:  has  arrived!

Industrialization  of  IT

1950 1980 201019951965 2025

Content

CLOUD COMPUTING

1. Cloud is changing everything 2. How do we get here? 3. Energy consumption

4. What is Cloud Computing? 5. Definitions and Types

6. Cloud Computing Inhibitors 7.What next?

Source:  http://www.goo

gle.com/abo

ut/datacen

ters/gallery/im

ages

3. Energy Consumption

Source:  http://www.google.com/about/datacenters/gallery/images

Source:  http://www.google.com/about/datacenters/gallery/images

Where  do  we  find  dc?fo

to: G

oogl

e

Where  do  we  find  dc?

Energy price: 0,03-0,04 €/kWh

foto

: Goo

gle

NETWORKS  &  UNDERSEA  CABLEfoto: http://w

ww

.submarinecablem

ap.com/

http://www.submarinecablemap.com/

foto: http://www.flickr.com/photos/alvy/22800735

Example  (CPDs  today  are  more  efficient)

Energy  consumptionFo

to: c

orte

sía

BS

C

1W IT à 1 or 0,7 W cooling

Energy  consumption

Source: “How Clean is Your Cloud?” Greenpeace, April 2012

Source: “How Clean is Your Cloud?” Greenpeace, April 2012

1973  bn  kWh

Estimated 2014

Images'source:''Íñigo'Goiri,'SC11'presenta8on.''2011'

Green Computing = Energy efficiency + Renewable Energy

Wind  Pow

er

Time

Solar  P

ower

Image  source:    Íñigo  Goiri,  Parasol  DC

Content

CLOUD COMPUTING

1. Cloud is changing everything 2. How do we get here? 3. Energy consumption

4. What is Cloud Computing? 5. Definitions and Types

6. Cloud Computing Inhibitors 7.What next?

IT  AS  A  SERVICE

Cloud Computing represents a major change in IT service architecture, delivery and consumption

Foto

: J.T

.

Image source: http://www.telegraph.co.uk/technology /reviews/9241719/Power-Ethernet-Sockets-review.html

IT  AS  A  SERVICE

Amazon Data Center

Foto: Tutorial SC2011 - Robert Grossman

(*) IaaS

IT  AS  A  SERVICE

More flexible IT, which can adapt to businesses and where costs can be predicted

On-demand self-service

Rapid elasticity

Ubiquitous access

. . . .

Pay per use

Utility  Computing

• Illusion of infinite computing resources – available on demand – no need for users to plan ahead for provisioning

• No up-front cost or commitment by users – companies can start small – increase resources only when there is an

increase in need • Pay for use on short-term basis as needed

– processors by the hour and storage by the day – release them as needed, reward conservation

EXAMPLE:  workload

System  capacity

Demand

Time

Capacity

RESOURCES  NOT  USED

Demand

Time

CapacityResources not used

WASTE  OF  RESOURCES

Demand

Time

Capacity€€€€€€€€€€€€€€€€€€€€€€€€€€€€€ €€€€€€€€€€€€€€€€€€€€€€€€€€€€€ €€€€€€€€€€€€€€€€€€€€€€€€€€€€€ €€€€€ €€€€€€€€€€€€ €€€€€ €€€€ €€€€€€€€€€ €€€€ €€€ €€€€€€€€ €€€ €€ €€€€€€ €€€ € €€€€ €€ €€€ €

CUSTOMER  BEHAVIOR

Demand

Capacity

Time (days)

1 2 3

CUSTOMER  BEHAVIOR

Demand

Capacity

Time (days)

1 2 3

Cloud  computing  elasticity

Demand

Capacity

Time

Content

CLOUD COMPUTING

1. Cloud is changing everything 2. How do we get here? 3. Energy consumption

4. What is Cloud Computing? 5. Definitions and Types

6. Cloud Computing Inhibitors 7.What next?

TYPES  OF  CLOUDs

Software as a Service (SaaS)

Plataforma as a Service (PaaS)

Infraestructura as a Service (IaaS)

TYPES  OF  CLOUDs

models of service delivery

Server

Apps

VM

Frameworks

PaaS SaaS

Server

Apps

VM

Frameworks

IaaS

Server

Apps

VM

Frameworks

Tradicional

Server

Apps

VM

Frameworks

Benefits?

The Benefits of Cloud Computing ▪ Economic benefits of the change from capital expenses

(CAPEX) to operational expenses (OPEX)

▪ Agility benefits from not having to procure and provision servers

▪ Efficiency benefits that may lead to competitive advantages ▪ Fastest time to market ▪ Focus on core competitive ▪…

▪…

INFRAESTRUCTURE  AS  A  SERVICE

Idea : Tutorial SC2011 - Robert Grossman

1 computer in a rack for 120 hours 120 computers in three racks for 1

hour

COST?

Agility  for  supplyingvs  in-­‐house  data  center

Foto

s: c

orte

sía

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C

Cloud  can  DRIVE  BUSINESS  INNOVATIONFoto:  D

esigne

dInB

arcelona.com

Taking  cost  out  of  company    Improve  business  processes  and  operational  effectiveness    

Using  the  cloud  to  enable  new  business  models

scenario

CLOUD

Enterprise resources Data+ Programs + Hardware

Sep 2011User

electronic devices with identification/computing/storage/communication capabilities

INSIDE  THE  CLOUD

PRIVATE CLOUDPUBLIC CLOUD

Enterprise resources Data+ Programs + Hardware

User

electronic devices with identification/computing/storage/communication capabilities

Self-­‐managed  cloud

PRIVATE CLOUDPUBLIC CLOUD

Enterprise resources Data+ Programs + Hardware

Services that intelligent take advantage of user devices capabilities as mobile or context-aware

User

Intelligent & autonomic management of resources

Client-aware Services

electronic devices with identification/computing/storage/communication capabilities

Hybrid  cloud

Workload

Hybrid  cloud

capacity

Workload

Hybrid  cloud

capacity

Hybrid  cloud

External  Provider

EVERYTHING  AS  A  SERVICE

IaaS PaaS SaaS

XaaSDRaaS

SUaaSBDaaS…

CLOUD  DEFINITIONS

SOURCE: http://www.computer.org/portal/web/Irena-Bojanova/content?g=5970564&type=blogpost&urlTitle=defining-cloud-computing

Content

CLOUD COMPUTING

1. Cloud is changing everything 2. How do we get here? 3. Energy consumption

4. What is Cloud Computing? 5. Definitions and Types

6. Cloud Computing Inhibitors 7.What next?

DATA  RECOVERY

data  theft

«LEY  LOPD»

truth

PRIVACY

CLIENT  CONCERNS:  sumary

CLIENT  CONCERNS:  summary

Where Does the Cloud Not Make Sense?

▪ Legacy systems ▪ Applications involving real-time or mission-

critical scenarios ▪ Applications dealing with confidential data ▪…

Content

CLOUD COMPUTING

1. Cloud is changing everything 2. How do we get here? 3. Energy consumption

4. What is Cloud Computing? 5. Definitions and Types

6. Cloud Computing Inhibitors 7.What next?

What next? NEW ERA OF COMPUTING

SOCIAL NETWORKS

MOBILE TECHNOLOGY

INTERNET OF THINGS

BIG DATA

CLOUD COMPUTING

COMPUTING WAVES

The first wave of computing made numbers computable

The second wave has made text and rich media computable and accessible digitally

COMPUTING WAVES

We are in the next wave that will also

make context computable

Source: www.DesignedInBarcelona.com

TECHNOLOGY IS OFTEN SO SUBTLE

Source: www.DesignedInBarcelona.com

The consumer have no idea that computation

is actually helping make their decisions!

EXAMPLE: ONLINE SHOPPING

Amazon’s recommendation engine (over 250M customers)

Amazon predict items and send it to your nearest delivery hub

In 2012 Target identified a pregnant teenager before her family knew about her condition.

EXAMPLE: SHOPPING

They've identified 25 items, purchased in a particular order, …

Using predictive models

HOW THEY DO IT?

They can be achieved with programs that use machine learning algorithms.

Source: http://bigsonata.com/wp-content/uploads/2014/07/PredictiveModeling.jpg

OLD WINE IN A NEW BOTTLE

• the term itself dates from the 1950s. • periods of hype and high expectations

alternating with periods of setback and disappointment.

Artificial Intelligence

plays an important

role

WHY NOW?

1. Along the explosion of data …

now algorithms can be “trained” by exposing them to large data sets

that were previously unavailable.

2. And the computing power necessary to implement these algorithms are now available

THE DATA DELUGE

Source: http://sysorexhosting.com/wp-content/uploads/big-data-infographic.jpg

EVOLUTION OF COMPUTING POWERFLOP/second

1988 Cray Y-MP (8 processadors)

1998 Cray T3E (1024 processadors)

2008 Cray XT5 (15000 processadors)

~2019 ? (1x107 processadors)

WISEST COMPUTERS!

DATA

CLOUD COMPUTING: A BIG PLAYER

Supercomputing  &  

Cloud  Computing

Big  DataTechnologies

Advanced  Analytic  

Algorithms

Thank you for your attention!

JORDI TORRES@JordiTorresBCN

www.JordiTorres.eu

HOMEWORK: Write an executive summary(*) of this report:

http://www.sap.com/bin/sapcom/en_us/downloadasset.2015-02-feb-25-23.the-cloud-grows-up-oxford-economics-and-sap-pdf.bypassReg.html

(*) https://en.wikipedia.org/wiki/Executive_summary