2. CO M PU TI G PA RA D I M D I
N G SRU PTI N S
O
M or t
e han j a t
ust ech shi … com peli busi
ft lng ness case
TECH N O LO G Y BU SI ESS CA SE
N
M A I FRA M E
N
• Centralized multipurpose compute • Usable for business, Optimized for
& storage, thin clients efficiency due to high cost
CLI T-SERVER
EN
• Optimized for agility due to low cost
• PCs and servers for distributed
and ease of use.
compute, storage, GUI, etc.
CLO U D
• Large DCs, commodity HW, scale‐out,
• Order of magnitude better efficiency
multiple devices
and agility

3. Cloud computing is a pay-per-use model for enabling available, convenient, on-
demand network access to a shared pool of configurable computing resources
(e.g., networks, servers, storage, applications, services) that can be rapidly
provisioned and released with minimal management effort or service provider
interaction (NIST – National Institute of Standards & Technology).

4. Application runs Application runs at a hoster Application runs using cloud
on-premises platform
Pay someone to host my
Buy my own hardware, and application using hardware
manage my own data that I specify
center

5. Publc Cl
i oud Bus nes Cas
i s e
s r
Les Cont oloverdata

6. Traditional Infrastructure Platform Software
(as a Service) (as a Service) (as a Service)
You manage
Applications Applications Applications Applications
You manage
Data Data Data Data
Runtime Runtime Runtime Runtime
Managed by provider
Managed by provider
You manage
Middleware Middleware Middleware Middleware
O/S O/S O/S O/S
Managed by provider
Virtualization Virtualization Virtualization Virtualization
Servers Servers Servers Servers
Storage Storage Storage Storage
Networking Networking Networking Networking
Operations Operations Operations Operations

7. Studies show that a 100,000‐server datacenter can have 80% lower total cost
of ownership (TCO) compared to a 1,000‐server datacenter.

8. Modern Cloud DCs
Microsoft Average PUE Targets for
New DCs
2.200
2.000
1.800
1.600
1.400
1.200
1.000
2006 2008 2010 2012
PUE
Typical DCs PUE : 4
Best in class enterprise DC PUE : 2

9. Com pute
Com pute
A verage U sage A verage U sage
Ti e
m
Ti e
m
e
e
Com put
Com put
Inact vi y
i t
Per od
i
A verage U sage A verage U sage
Ti e
m Ti e
m

10. Dicus i – Pot i Cl
s son ental oud Usage Pat er
t ns
Pat er
t n Areas of i er
nt est
1 Transf ence :
er • Com pany Em ai,W eb Sie.
l t
Taki exi tng on- em i e app and m ovi i t t
ng s i pr s ng t o he • N ew bus nes m odel – SaaS.
i s s
cloud. • Aler i s t ar depl
t natve of w e oym ent
m odel .
s
2 Scal & M ul i
e t -Tenancy: • Tes i t m ar .
tng he ket
Abiiy t handl w eb l
lt o e oad w ihoutf lcapial
t ul t
i
nves m entf om day 1.
t r
3 Burst Com pute: • H PC applcatons s utons
i i / ol i .
Abiiy t handl addii
lt o e tonalcom put on an as needed
e • Scal lt t tng applcatons
abiiy es i i i .
bas s
i.
4 El i St age:
ast c or • Bus nes nt lgence.
i si eli
Cr i an applcaton w her s or
eatng i i e t age can grow • Genom i .
cs
exponentaly.
il • Load t tng on l ge dat
es i ar abas .
es
5 I er r
nt -O gani i Com m uni i
zat on cat ons: • D i t i ed devel
s rbut opm ent.
Applcaton t has t abiiy t com m uni e
i i hat he lt o cat • Colabor i R& D.
l atve
bet een or
w gani i us ng t cl
zatons i he oud as t pr
he e-
defned hub.
i

12. St
andar and Choi i Devel
ds ce n opm ent
W S-Eventng
i At Pub
om W S- us
Tr t
SO AP RSS
SAM L
Azure Platform
™
REST
H TTP W S- an
M O penI
D
Standar bas i er
ds ed nt oper lt
abiiy

15. • Shift to “Cloud First” policy. Each agency will identify three
“must move” services within three months, and move one of
those services to the cloud within 12 month and the
remaining two within 18 months.
• The three-part strategy on cloud technology will revolve
around using commercial cloud technologies where
feasible, launching private government clouds, and utilizing
regional clouds with state and local governments where
appropriate.
• Reduce number of Federal data centers by at least 800 by
2015

18. Customization
Development Tools
Value
Middleware (EAI, EII, ETL)
Core Platforms (DB, App Server)
Operating System (Windows, Linux, Mainframe)
Virtual Machine, Management Tools
Hardware

19. Software Services and Innovation
Development Tools
Software as a Service (SaaS)
Value
Middleware (EAI, EII, ETL)
Platform as (DB, App Server)
Core Platforms a Service (PaaS)
Operating System (Windows, Linux, Mainframe)
Virtual Machine, Management Tools
Infrastructure as a Service (IaaS)
Hardware