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• Simply stated: Cloud = Internet
• So..Cloud Computing = Internet based computing
• More precisely, Cloud computing is:
▫ using information technology as a service.
▫ having services that are available over a network.
▫ using encapsulated services that have anAPI.
▫ adding to the efficiency for deploying applications.
▫ billing by consumption
 On-demand self-service
 Broad network access
 Resource pooling
 Location independence
 Rapid elasticity
 Measured service
 Cloud Software as a Service (SaaS)
 Use provider’s applications over a network
 Example: Facebook, SalesForce.com, Gmail
 Cloud Platform as a Service (PaaS)
 Deploy customer-created applications to a cloud
 Give me nice API and take care of the implementation
 Example: Google App Engine , Microsoft Azure
 Cloud Infrastructure as a Service (IaaS)
 Rent processing, storage, network capacity, and other
fundamental computing resources
 3Tier, Amazon EC2, Rackspace, GoGRID
 Cloud computing often leverages:
 Massive scale
 Homogeneity
 Virtualization
 Resilient computing
 Low cost software
 Geographic distribution
 Service orientation
 Advanced security technologies
4 Cloud Deployment Models
 Private cloud
 enterprise owned or leased
 Community cloud
 shared infrastructure for specific community
 Public cloud
 Sold to the public, mega-scale infrastructure
 Hybrid cloud
 composition of two or more clouds
Based upon original chart created by Alex Dowbor - http://ornot.wordpress.com
Deployment
Models
Service
Models
Essential
Characteristics
Common
Characteristics
Software as a Service
(SaaS)
Platform as a Service
(PaaS)
Infrastructure as a
Service (IaaS)
Resource Pooling
Broad Network Access Rapid Elasticity
Measured Service
On Demand Self-Service
Low Cost Software
Virtualization ServiceOrientation
Advanced Security
v · d · eCloud computing
Clients
Browsers · Devices (Netbooks ·Tablets ·
Smartphones) · Operating Systems (Android · iOS ·
Windows Phone 7 · Linux)
Applications Google Apps · Microsoft Online · NetSuite · Salesforce
Platforms
App Engine · Azure · EngineYard · Force.com · Heroku ·
MTurk · RightScale · S3 · SimpleDB · SQS
Infrastructure
EC2 · Eucalyptus · FlexiScale · GoGrid · Nimbus ·
Rackspace Cloud ·VPC
Technologie
s
Networking · Security · Datacenters · Cloud storage ·
Internet · Structured storage ·Virtualization ·Web
Services ·Virtual Appliance
Amazon Web Services
 Elastic Compute Cloud (EC2)
 Rent computing resources by the hour
 Basic unit of accounting = instance-hour
 Additional costs for bandwidth
 Simple Storage Service (S3)
 Persistent storage
 Charge by the GB/month
 Additional costs for bandwidth
Microsoft Azure Services
Source: Microsoft Presentation, A Lap Around Windows Azure, Manuvir Das
HOW STORAGE OF DATA IS DONE?
Windows Azure Applications,
Storage, and Roles
Cloud Storage (blob, table, queue)
Web Role
LB
n
Worker Role
m
CSAL Namespaces
One namespace for each abstraction type
 Metadata only for containers
Service endpoint, identifier, user credentials
Each abstraction has an independent
metadata store
• Metadata cachingContainer ops are not very
common
• If data is stale, simply re-fetch and retry
CSAL
CSAL
CSAL
CSAL
CSAL

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CSAL

  • 1.
  • 2. • Simply stated: Cloud = Internet • So..Cloud Computing = Internet based computing • More precisely, Cloud computing is: ▫ using information technology as a service. ▫ having services that are available over a network. ▫ using encapsulated services that have anAPI. ▫ adding to the efficiency for deploying applications. ▫ billing by consumption
  • 3.  On-demand self-service  Broad network access  Resource pooling  Location independence  Rapid elasticity  Measured service
  • 4.  Cloud Software as a Service (SaaS)  Use provider’s applications over a network  Example: Facebook, SalesForce.com, Gmail  Cloud Platform as a Service (PaaS)  Deploy customer-created applications to a cloud  Give me nice API and take care of the implementation  Example: Google App Engine , Microsoft Azure  Cloud Infrastructure as a Service (IaaS)  Rent processing, storage, network capacity, and other fundamental computing resources  3Tier, Amazon EC2, Rackspace, GoGRID
  • 5.  Cloud computing often leverages:  Massive scale  Homogeneity  Virtualization  Resilient computing  Low cost software  Geographic distribution  Service orientation  Advanced security technologies
  • 6. 4 Cloud Deployment Models  Private cloud  enterprise owned or leased  Community cloud  shared infrastructure for specific community  Public cloud  Sold to the public, mega-scale infrastructure  Hybrid cloud  composition of two or more clouds
  • 7. Based upon original chart created by Alex Dowbor - http://ornot.wordpress.com Deployment Models Service Models Essential Characteristics Common Characteristics Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS) Resource Pooling Broad Network Access Rapid Elasticity Measured Service On Demand Self-Service Low Cost Software Virtualization ServiceOrientation Advanced Security
  • 8. v · d · eCloud computing Clients Browsers · Devices (Netbooks ·Tablets · Smartphones) · Operating Systems (Android · iOS · Windows Phone 7 · Linux) Applications Google Apps · Microsoft Online · NetSuite · Salesforce Platforms App Engine · Azure · EngineYard · Force.com · Heroku · MTurk · RightScale · S3 · SimpleDB · SQS Infrastructure EC2 · Eucalyptus · FlexiScale · GoGrid · Nimbus · Rackspace Cloud ·VPC Technologie s Networking · Security · Datacenters · Cloud storage · Internet · Structured storage ·Virtualization ·Web Services ·Virtual Appliance
  • 9. Amazon Web Services  Elastic Compute Cloud (EC2)  Rent computing resources by the hour  Basic unit of accounting = instance-hour  Additional costs for bandwidth  Simple Storage Service (S3)  Persistent storage  Charge by the GB/month  Additional costs for bandwidth
  • 10. Microsoft Azure Services Source: Microsoft Presentation, A Lap Around Windows Azure, Manuvir Das
  • 11. HOW STORAGE OF DATA IS DONE?
  • 12. Windows Azure Applications, Storage, and Roles Cloud Storage (blob, table, queue) Web Role LB n Worker Role m
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  • 17. CSAL Namespaces One namespace for each abstraction type  Metadata only for containers Service endpoint, identifier, user credentials Each abstraction has an independent metadata store • Metadata cachingContainer ops are not very common • If data is stale, simply re-fetch and retry