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“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.”
   SaaS
    › Software as a Service
    › Storage as a Service
   PaaS – Platform as a Service
   IaaS – Infrastructure as a Service
 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.
   “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
   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
   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.
•Layers equate structure
•Building blocks: Infrastructure, Platforms,
Applications
 1000’s of Cloud Applications currently
 Handful of Cloud Platforms
 Elite group of Cloud Infrastructure
  providers             # of Marketplace providers
 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
 Sits on top of various Cloud Infrastructures for management
 Examples: RightScale, Appistry
 Advantages: Provides more options for Cloud environments
 Disadvantages: Dependent on Cloud Providers
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
 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
 Ease of Use
 Scalability
 Risk
 Reliability
 Cost
   Deploy infrastructure with a mouse or API
    › No cabling, screwdrivers, racking, unboxing,
      buying
    › Middle of the night
    › Do it yourself remotely from anywhere anytime
2.Controlyour infrastructure with your
application demands.
3.No need to purchase expensive hardware's
for scalability.
1.   Nothing to buy
2.   Cancel immediately
3.   Change instantly, even operating
     systems
4.   Throw it out
5.   Rebuild it instantly after testing
                                    RISK
1. Based on High quality hardware
2. Design for failures:
     › Automatically spin up replacements
     › Use multiple clouds
1. Pay for only what you use
2. No need to buy in advance
3. Zero Capital Outlay
4. No contracts
   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]
    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.
 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
 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)
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.
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/

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Cloud computing vs grid computing

  • 1.
  • 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.
  • 8. •Layers equate structure •Building blocks: Infrastructure, Platforms, Applications
  • 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
  • 17. 2.Controlyour infrastructure with your application demands. 3.No need to purchase expensive hardware's for scalability.
  • 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/