ESADE International Summer Program 2015: Cloud Computing & Future
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Transcript of 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
Sold: ?
Exem
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, 20
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Sold: 28.000.000
Exem
ple
de J
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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
BS
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