2. “A pool of abstracted, highly scalable, and
managed computer infrastructure capable
of hosting end-customer applications and
billed by consumption1”
“Cloud computing is an emerging approach
to shared infrastructure in which large pools
of systems are linked together to provide IT
services.”
3. SaaS
› Software as a Service
› Storage as a Service
PaaS – Platform as a Service
IaaS – Infrastructure as a Service
4. In SaaS no need to buy expensive licensed applications
Examples: SalesForce, Gmail, Yahoo! Mail, Quicken Online
Instead of selling you a copy of Microsoft Word for $300, a
cloud computing model would "rent" word processing
software to you through the Internet for perhaps 5 dollars a
month.
Advantages: Free, Easy, repair a single central copy of the
product online
Disadvantages: Limited functionality, no control or access to
underlying technology, you have to trust into the online
software vendors.
5. “Containers”
“Closed” environments
Examples: Google App Engine(support only java &
python), ,Force.com(support 16 languages)[5] ,Windows
Azure(.Net,java,Php), Mosso, Engine Yard, Joyent
Advantages: Good for developers, more control than
“Application” Clouds, tightly configured
Disadvantages: Restricted to what is available, other
dependencies
6. Provide “Compute” and “Storage” clouds
Virtualization layers (hardware/software)
Examples: Amazon EC2, GoGrid, Amazon S3, Nirvanix, Linode
Advantages: Full control of environments and infrastructure
Disadvantages: premium price point, limited competition
7. Infrastructure as a Service (IaaS) provides
the user with virtual infrastructure, such as
servers and data storage space. This is
where virtualization fits into the cloud.
Platform as a Service (PaaS) provides the
user with development environment
services where the user can create and run
home-grown applications.
Software as a Service (SaaS) provides the
user with access to already created
applications that are operating in the
cloud.
9. 1000’s of Cloud Applications currently
Handful of Cloud Platforms
Elite group of Cloud Infrastructure
providers # of Marketplace providers
10. Provides extension to Cloud Infrastructure and Platforms with
basic functionality
Examples: Amazon SimpleDB, Amazon SQS, Google BigTable
Advantages: Extends functionality of Compute & Storage
Clouds to integrate with other clouds
Disadvantages: Sometimes requires use of specific Platforms
or Infrastructure
11. Sits on top of various Cloud Infrastructures for management
Examples: RightScale, Appistry
Advantages: Provides more options for Cloud environments
Disadvantages: Dependent on Cloud Providers
12.
13. Colocation Managed Cloud
Time Weeks to Months Days to Weeks Minutes
Scalability Slowest, Rigid & Slower, somewhat Instant, Flexible,
Costly flexible, Costly Pay-per-usage
Cost High Costly, sometimes No contracts,
month/year usage based, no
contracts, upfront costs
“Green” Low Low High - virtualized
Pricing model Buy Servers & Colo Rent Servers & Rent based on
costs whether Hosting costs usage only
used or not whether used or
not
14. Technology has evolved
People demand more control
Instant gratification
Managed is not dynamic enough
Cloud Computing -“Enabling Technology”
to move from Traditional Hosting to
Cloud Hosting
15. Ease of Use
Scalability
Risk
Reliability
Cost
16. Deploy infrastructure with a mouse or API
› No cabling, screwdrivers, racking, unboxing,
buying
› Middle of the night
› Do it yourself remotely from anywhere anytime
18. 1. Nothing to buy
2. Cancel immediately
3. Change instantly, even operating
systems
4. Throw it out
5. Rebuild it instantly after testing
RISK
19. 1. Based on High quality hardware
2. Design for failures:
› Automatically spin up replacements
› Use multiple clouds
20. 1. Pay for only what you use
2. No need to buy in advance
3. Zero Capital Outlay
4. No contracts
21. Grid computing is the ability to process
information by utilizing a collection of
networked heterogeneous information-
processing components (hardware and
software), all of which are provisioned from
various geographical locations and across
organizational boundaries.[5]
22. In grid computing the concept of Virtual
Organizations (VOs) rises. Which means that
all resources were owned by a single
organization.
Two key outcomes exist in grids:
3. The Open Grid Service Architecture (OGSA)
4. The Globus Toolkit.
OGSA means how grids are created and
maintained.
23. The Globus Toolkit is a software
middleware package. All that is required
is to install and configure Globus and
then create all required resources and
services.
grid security approach is the Grid
Security Infrastructure (GSI) which has
been implemented in
the Globus Toolkit
24. NAREGI ( National Research Grid Initiative) is a
grid project that focuses on the research and
development of grid middleware.
The test contains almost 3000 CPUs and is
capable of 17 teraflops of processing power,
offered from various research institutions
throughout Japan.
BOINC is an Open-source software
for volunteer computing and grid computing.
BOINC is supported by the National Science
Foundation(SETI@home, Climateprediction.net)
25. 1. Neither grids nor clouds have a commonly
accepted definition.
2. Grids are publicly funded and operated,
whereas clouds are privately funded and
operated.
3. Grids and clouds are instantiations of
distributed systems, which is a common
feature of them.
4. Grids evolve slowly and clouds evolve fast,
and The level of expertise to use a cloud is
significantly lower than that of a grids.
26. 1. Paul Lancaster Business Development
Manager, GoGrid Site:
http://www.GoGrid.com
2. http://www. amazon.com
3. http://wikipedia.org
4. http://saasevolution.blogspot.com
5. Grids vs. Clouds , Michael Brock and
Andrzej Goscinski ,School of Information
Technology , Deakin University ,Australia
6. http://boinc.berkeley.edu/