The document provides an overview of cloud computing, including its definition, history, characteristics, service models (SaaS, PaaS, IaaS), and green benefits. It examines cloud computing elements like on-demand self-service, broad network access, resource pooling, and rapid elasticity. The document also previews top obstacles for cloud computing growth, like availability of service, data lock-in, and data transfer bottlenecks, as well as opportunities to address them through approaches like using multiple cloud providers, standardizing cloud computing, and deploying encryption.

1. Services & Network Administration
Cloud Computing
Presented by :
Zaibi Mohammed
2011/2012

2. Outline
• Definition
• History of Computing
• Understanding the nature of the cloud (Characteristics)
• Examining the cloud elements (Service models)
• Green benefits of Cloud Computing
• Quick Preview of Top 10 Obstacles and Opportunities for
Growth of Cloud Computing

3. What is cloud computing ?
• The cloud is a set of hardware, networks, storage,
services, and interfaces that enable the delivery of
computing as a service.
• Cloud services include the delivery of software,
infrastructure, and storage over the Internet (either as
separate components or a complete platform) based
on user demand.
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4. History of Computing
Cloud
Virtualization
Web
Client Server
Minicomputer
Mainframe
1960 1970 1980 1990 2000 2

5. Understanding the nature of the cloud
On-demand self-service A consumer armed with an appropriate delegation of rights (permission) can
unilaterally provision computing capabilities, such as server time and
network storage, as needed and automatically, without requiring human
interaction with each service’s provider
Broad network access Capabilities are available over the network and accessed through standard
mechanisms that promote use by heterogeneous thin or thick client
platforms (e.g., mobile phones, laptops, and PDAs).
Resource pooling The provider’s computing resources are pooled to serve multiple consumers
using a multi-tenant model, with different physical and virtual resources
dynamically assigned and reassigned according to consumer demand.
Rapid elasticity Capabilities can be rapidly and elastically provisioned.
To the consumer, the capabilities available for provisioning often appear to
be unlimited and can be purchased in any quantity at any time.
Measured service Cloud systems automatically control and optimize resource use by leveraging
a metering capability
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6. Examining the cloud elements (1)
Management & Administration
Software as a service
Plateforme as a service
Figure:
Cloud
Infrastructure as a service
service
delivery
models.
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7. Where off-the shelf applications
SaaS Are acceced over the internet
Software as a service
• Free or paid via subscription
• Accessible via any computer
• Facilitate collaborative working
• Generic application not always suitable
for business use …
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8. exemples
Office Apps: Word Processors, Spreadsheets and Presentation Packages
Google Docs Zoho SlideRocket
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9. Provide envirement and tools
PaaS for creating new applications
Plateform as a service
• Rapid development at low coast
• Private or public deployment
• Limits developers to provider
languages and tools
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10. exemples
Platform as a Service (PaaS) Vendors :
Google App Engine Windows Azure Salesforce
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11. Allows existing applications to be
IaaS run on a cloud supplier’s hardware
Infrastructure as a service
IaaS Categories:
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12. private cloud The first IaaS category of a private cloud (or more fully a vendor
managed private cloud), a customer rents a number of co-located
servers in part of a data center. This means that their cloud
hardware is as separate as possible from that of other users. Private
clouds are therefore considered the most secure form of IaaS
dedicated In the second IaaS category of dedicated hosting, a customer rents
dedicated physical servers on demand from anywhere within a data
hosting center.
As well as being less costly than a private cloud, dedicated hosting
can therefore be dynamically scaled. This means that the customer
is able to increase or decrease the number of servers they are both
using and paying for on a daily or even hourly basis.
hybrid hosting Under the third IaaS option of hybrid hosting, a customer rents on
demand a mix of dedicated physical servers and as well as some less
expensive virtual server instances.
cloud hosting in the last IaaS category of cloud hosting, a customer rents as many
or as few virtual server instances as they require on demand. This
means that customers share all of the servers they use with other
customers.
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13. exemples
IaaS Providers:
Amazon Web Services GoGrid Elastic Hosts
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14. Examining the cloud elements (2)
Measured Service Rapid Elasticity
Essential
Characteristics On-Demand Broad Network
Resource Pooling
Self Service Access
Software as a Platform as a Infrastructure as a
Service
Service (SaaS) Service (PaaS) Service (IaaS)
Models
Deployment Private Community
Public Hybrid
Models
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15. Green benefits of Cloud Computing
Servers  Virtualize therefore reduce # servers e.g. 5 to 10 virtual servers to 1
physical server
 Less space required
 Reduced power
 More energy efficient servers
Workstations  Thin clients and hence reduced power – 8watts compared to 80watts
 Virtual workstations running on servers – 30 to 70 wks to 1 server
IT Support  Workstations that are not used are switched off
 Maintenance performed real time – wks moved to perform
maintenance
Environmental  Lower carbon emissions – less power needed
 Repurpose old wks and make them thin clients
 Recycle old equipment
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16. Obstacle Opportunity
1 Quick Preview of Top MultipleObstacles Elasticity to Prevent DOS
Availability of Service Use 10 Cloud Providers; Use and
2 Opportunities for Growth of APIs; Compatible SW to enable Surge
Data Lock-In Standardize Cloud Computing
Computing
3 Data Confidentiality and Auditability Deploy Encryption, VLANs, Firewalls; Geographical Data
Storage
4 Data Transfer Bottlenecks FedExing Disks; Data Backup/Archival; Higher BW Switches
5 Performance Unpredictability Improved VM Support; Flash Memory; Gang Schedule VMs
6 Scalable Storage Invent Scalable Store
7 Bugs in Large Distributed Systems Invent Debugger that relies on Distributed VMs
8 Scaling Quickly Invent Auto-Scaler that relies on ML; Snapshots for
Conservation
9 Reputation Fate Sharing Offer reputation-guarding services like those for email
10 Software Licensing Pay-for-use licenses; Bulk use sales

17. Conclusion
• Clouds
 Provide internet based services
 Available on demand
 And fully managed by the provider
 There is no one “Cloud”. There are many models and
architectures
• Clouds let you
 Avoid capital expenses on hardware, software, and service
 Share infrastructure and costs
 Lower management overhead
 Access a large range of apps

18. Thank you for giving us the
opportunity
to present this subject