An introduction to Windows Azure for Education.

2. SaaS
On-Premises Service Provider Dynamics
online
Office365
Users A
A A
Cloud Applications
Compute/Storage/Network
System IaaS, Paa
Center S
2012 Azure
A A A A A
A VM VM VM
VM VM
A Cloud Platform
Private Cloud VM
Compute/Storage/Network Compute/Storage/Network

3. Packaged Infrastructure Platform Software
(as a Service)
Software (as a Service) (as a Service)
You manage
Applications Applications Applications Applications
You manage
Data Data Data Data
Runtime Runtime Runtime Runtime
Managed by vendor
Middleware Middleware Middleware Middleware
You manage
Managed by vendor
O/S O/S O/S O/S
Managed by vendor
Virtualization Virtualization Virtualization Virtualization
Servers Servers Servers Servers
Storage Storage Storage Storage
Networking Networking Networking Networking
Host Build Consum
e

4. Compute
Compute
Inactivity
Period
Average
Average Usage Usage
Time Time
On and off workloads (e.g. batch Successful services needs to
job) grow/scale
Over provisioned capacity is wasted Keeping up w/growth is big IT
Time to market can be cumbersome challenge
Complex lead time for deployment
Compute
Compute
Average Average
Usage Usage
Time Time
Unexpected/unplanned peak in demand Services with micro seasonality trends
Sudden spike impacts performance Peaks due to periodic increased demand
Can’t over provision for extreme cases IT complexity and wasted capacity

5. Windows Azure Platform
Compute Storage Management CDN
“Operating system “Middleware “Data Sets” “Relational database
in the cloud” in the cloud” in the cloud in the cloud”

6. Northern
North Europe
Central USA
Eastern Asia
Western
Europe
South
Central USA
Southeast
Asia

7. Microsoft has run Online Services since 1994
 1st MSFT datacenter built in 1989
 Running Online Services 24x7x365
 Global service delivery to 59 markets/36 languages
∙ 30B Live ID authentications/month ∙ 2B Bing queries/month
∙ 10B MSN page views/month ∙ 240B Messenger messages/month
Global Infrastructure to Run Your Services World Wide
 Quincy, WA: Approx. 500K sq ft, hydro-powered
 San Antonio, TX: Approx. 475K sq ft, recyclable water
 Chicago, IL: Approx. 700K sq ft, water economization
 Dublin, Ireland: Approx. 303K sq ft, air economization
http://www.globalfoundationservices.com/

8. First Mega Datacenter built outside the
US, on-line on July 2009
 Cost $500 million,
 303k sq ft facility and growing
 EU Datacenter Best Practice Award Winner
Stand-alone Server Pods
 Environmentally Sustainable
 Free Air-Cooling via Air-Side
Economization
 50% less energy use vs. traditional
facilities
 1 % water use vs. traditional facilities
 Power Usage Efficency 1.25 vs 2.0

9. 3) The « job » is divided in tasks.
The tasks are put in a Queue
4) The worker get the tasks in the
queue and process them
1) The user submit a
job trough the web UI 3 Queue 4
1
1 6 5 n
Web Role Worker Role
Blob
2
2) The job is added in the 5) Each worker post the results of his
Table for future access computation in a Blob
Table
6) The differents output are
assembled to get the final result

12. Web Role Worker Role
Instances Instances
IIS
Load
Balance
r
Virtual Machine
HTTP/HTTPS, TCP Application

13. Compute Instance I/O
Instance CPU Memory Storage Performan
Size ce
Small 1.6 GHz 1.75 GB 225 GB Moderate
Medium 2 x 1.6 GHz 3.5 GB 490 GB High
Large 4 x 1.6 GHz 7 GB 1,000 GB High
Extra Large 8 x 1.6 GHz 14 GB 2,040 GB High

15. Database
Application Database
Virtual
Server
Database

16. Table
Partition
Key 1
Key A Key 2
Key 3
Partition
Key B Key 3 Key 1
Application
Key B Key 2
Key 3
Partition Partition key
Key 1
Row key
Key C Key 2
Key 3 Property

17. What tables don’t do What tables can do
 Not relational  Cheap
 IfNo Referential Integrity
these are  Very Scalable
important to
 you, use: Azure allows you
Key benefits ofNo Joins are SQL
SQL
Server compatibility which
 Flexible
 tools,Limited Queries requires
to use familiar T-SQL, SQL library
APIs, etc. For data that
 Durable
 sorts, views, and stored
server-side computation such as
joins,
No Group by
Tables. Tables contain large collections of
 No Aggregations
procedures, SQL Azure is an ideal
choice.
property-bag state (called entities) such as
customer information, order data, news
 Limited Indexes feed items. Tables sort their entities and
can return a filtered subset of the entities.
 No Transactions

18. Container
Blob
10001101001
10011110111 Blob
11011011010
001101 10001101001
10011110111
11011011010
Blob 001101
10001101001
10011110111
11011011010
001101
Application Container
1000
110 Blob
10001101001
Blob
10011110111 10001101001
11011011010 10011110111
001101 11011011010
001101

22. SQL Azure Synchronization
with SQL Data SQL Azure
Sync
Synchronizati SQL Server
on
with SQL
Data Sync

23. Traffic
Manager
North South North Western Southeast East
Central US Central US Europe Europe Asia Asia
Windows
Azure
Application
Windows Azure
Datacenter
Application

24. On-Premises Windows Azure
Applications Application
and Data
Web/Worker
Role Instances
Endpoint
IPsec
Agent
On-Premises
Computer

26. Windows Azure Application
1)
Receive
work Web Role Worker Role 4) Do
Instance 3) Dequeue Instance work
message
5) Delete
2) Enqueue message
message
Queue

27. Service Bus
Application Application
(On-premises (On-premises
or cloud) or cloud)

30. Blobs
1011011 0111011
0100011 0101011
11
01
Windows Azure

31. In-Memory
Caching Service
Cached Data
Cached Data
Windows
Azure
Application Cached Data
Windows Azure
Client

34. On-premise
Desktop Compute Cloud via
Idle Win 7 Workstation Cores HPC
HPC Head Node Edition
Desktop User
HPC Cluster
Broker Node(s)
Azure Compute Proxies
Azure Compute Instances

35. With your Azure
subscription add
additional resources
when you need them
Pay only when you
use them

36. Application is accessed from
• Embedded Azure
Scheduler, not a Head
Node
• All runtimes: Parametric
Sweep, MPI, Cluster
SOA, Excel

37. National services / tightly coupled apps
Departmental / mixed apps
Ad hoc apps and queries
Profitable Services
Internet scale

38. Risk and Monte Carlo;
Financial Services Anti Money Laundering; Trend
Analysis; Forecasting
CDRs; Web Analytics; Social Media;
Coms and Media
Advertising Analysis; Image analytics
Customer Analytics; Sales Analysis; Web
Retail Retail Analysis
National Labs; Defence and
Government and Academia Intelligence;
Research Data Mining
Online Gaming Anti Fraud
Pharmaceutical Genomic research; field trail analysis

39. Hadoop Job
Logic Logic Logic
Data Data Data
Logic Logic Logic
Data Data Data
Logic Logic Logic
Data Data Data
Virtual Machine

40. http://www.techila.fi/

42. Identity Providers (IdPs) Access Control
AD FS 4) Validate IdP token, then create
Windows
2.0 Google Access Control (AC) token
Live ID
according to rules for this
application
Yahoo Facebook OpenID
Rules Engine
2) 3) Send 5) Return
IdP 7) Validate
IdP token IdP Access
Authenticate Token AC Access Control
to Access Token Control
user, then Token token, then use
return IdP Control token
its contents
token Application
AC
Token (On-premises
Browser 6) Submit or cloud)
Access
Control
token
1) Access application and
get redirected to IdP

44. Applications
Content Partner
Datasets

45. Compute
Web/Worker role:
$0.04 to
$0.96/instance
per
hour, depending
on instance size
Inbound Bandwidth:
Free Storage
Client
Outbound Bandwidth:
$0.12/GB (North America/Europe)
$0.19/GB (Elsewhere) SQL Azure:
$9.99/GB per
month
K 10001101001
Tables and blobs:
K 10011110111 $0.14/GB per
11011011010
K 001101 month, $0.01/10,0
00 operations

46. www.WindowsAzure.com/Education
Access for faculty
No Credit Card required
5 Month Windows Azure Passes
includes the following resources:
Windows Azure
2 small compute instances
3GB of storage
250,000 storage transactions
SQL Azure
Two 1GB Web Edition database
Azure AppFabric
100,000 Access Control transactions
2 Service Bus connections
1 Hosted Service
Data Transfers (per region)
3 GB in
3 GB out

47. www.WindowsAzure.com/Education
Access for Students
No Credit Card required
90 day Windows Azure Passes

48. © 2010 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it
should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.
MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

49.  Visit: http://www.WindowsAzure.com/Education for Azure
Academic Programme
 Visit: http://www.microsoft.com/uk/faculty for UK Faculty
Resources and curricula
 Visit: http://www.hadooponazure.com for the developer
preview
 Visit: http://www.microsoft.com/bigdata to find out about
more about the HADOOP CTP
 Visit: http://www.windowsazure.com to find out more about
the Windows Azure Platform