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Cloud Computing
SRV SINGHANIA (15030122031)
Cloud Computing
Saas
Paas
Iaas
 Cloud computing depends on sharing required
resources rather than having local servers or
personal devices to do some type of applications.
 It’s services:
SAAS: SOFTWARE AS A SERVICE
 Software as a Service (SaaS) uses the web to deliver applications that are managed by
a third-party vendor and whose interface is accessed on the clients’ side.
 Most SaaS applications can be run directly from a web browser without any
downloads or installations required, although some require plugins.
 Because of the web delivery model, SaaS eliminates the need to install and run
applications on individual computers. With SaaS, it’s easy for enterprises to streamline
their maintenance and support, because everything can be managed by vendors:
applications, runtime, data, middleware, OSes, virtualization, servers, storage and
networking.
 SaaS Examples: Google Apps, Salesforce, Workday, Concur, Citrix GoToMeeting, Cisco
WebEx
PAAS: PLATFORM AS A SERVICE
 Cloud platform services, or Platform as a Service (PaaS), are used for applications,
and other development, while providing cloud components to software.
 What developers gain with PaaS is a framework they can build upon to develop
or customize applications.
 PaaS makes the development, testing, and deployment of applications quick,
simple, and cost-effective. With this technology, enterprise operations, or a third-
party provider, can manage OSes, virtualization, servers, storage, networking, and
the PaaS software itself. Developers, however, manage the applications.
 Apprenda is one provider of a private cloud PaaS for .NET and Java.
 Enterprise PaaS Examples: Apprenda
IAAS: INFRASTRUCTURE AS A SERVICE
 Cloud infrastructure services, known as Infrastructure as a Service (IaaS), are self-
service models for accessing, monitoring, and managing remote datacenter
infrastructures, such as compute (virtualized or bare metal), storage, networking,
and networking services (e.g. firewalls). Instead of having to purchase hardware
outright, users can purchase IaaS based on consumption, similar to electricity or
other utility billing.
 Compared to SaaS and PaaS, IaaS users are responsible for managing
applications, data, runtime, middleware, and OSes. Many IaaS providers now offer
databases, messaging queues, and other services above the virtualization layer as
well.
 What users gain with IaaS is infrastructure on top of which they can install any
required platform. Users are responsible for updating these if new versions are
released.
 IaaS Examples: Amazon Web Services (AWS), Cisco Metapod, Microsoft Azure,
Google Compute Engine (GCE), Joyent
Structure
Saas
Paas
Iaas
Users
Developer
Admin
Microsoft AZURE & Amazon AWS
 The cloud service provider offers services of cloud
computing such as Storage as a Service (Saas),
Infrastructure as a Service (Iaas), and Platform as a
service (Paas) so on.
 The present leading Cloud Service providers are
Amazon and Azure.
Microsoft Azure Amazon Web Services
Machines are individually accessible. Machines grouped into “cloud service”
and respond to the same domain name
but different ports.
It’s storage is sufficiently fast for big data Standard storage has difficulties for big
data.
More mature environment for big data. Less mature for big data, but improving.
Microsoft AZURE & Amazon AWS
 Speed:
Azure is more faster than AWS.
 Cost:
The cost maintenance is also more in AWS compared to Azure.

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Cloud Computing

  • 2. Cloud Computing Saas Paas Iaas  Cloud computing depends on sharing required resources rather than having local servers or personal devices to do some type of applications.  It’s services:
  • 3. SAAS: SOFTWARE AS A SERVICE  Software as a Service (SaaS) uses the web to deliver applications that are managed by a third-party vendor and whose interface is accessed on the clients’ side.  Most SaaS applications can be run directly from a web browser without any downloads or installations required, although some require plugins.  Because of the web delivery model, SaaS eliminates the need to install and run applications on individual computers. With SaaS, it’s easy for enterprises to streamline their maintenance and support, because everything can be managed by vendors: applications, runtime, data, middleware, OSes, virtualization, servers, storage and networking.  SaaS Examples: Google Apps, Salesforce, Workday, Concur, Citrix GoToMeeting, Cisco WebEx
  • 4. PAAS: PLATFORM AS A SERVICE  Cloud platform services, or Platform as a Service (PaaS), are used for applications, and other development, while providing cloud components to software.  What developers gain with PaaS is a framework they can build upon to develop or customize applications.  PaaS makes the development, testing, and deployment of applications quick, simple, and cost-effective. With this technology, enterprise operations, or a third- party provider, can manage OSes, virtualization, servers, storage, networking, and the PaaS software itself. Developers, however, manage the applications.  Apprenda is one provider of a private cloud PaaS for .NET and Java.  Enterprise PaaS Examples: Apprenda
  • 5. IAAS: INFRASTRUCTURE AS A SERVICE  Cloud infrastructure services, known as Infrastructure as a Service (IaaS), are self- service models for accessing, monitoring, and managing remote datacenter infrastructures, such as compute (virtualized or bare metal), storage, networking, and networking services (e.g. firewalls). Instead of having to purchase hardware outright, users can purchase IaaS based on consumption, similar to electricity or other utility billing.  Compared to SaaS and PaaS, IaaS users are responsible for managing applications, data, runtime, middleware, and OSes. Many IaaS providers now offer databases, messaging queues, and other services above the virtualization layer as well.  What users gain with IaaS is infrastructure on top of which they can install any required platform. Users are responsible for updating these if new versions are released.  IaaS Examples: Amazon Web Services (AWS), Cisco Metapod, Microsoft Azure, Google Compute Engine (GCE), Joyent
  • 7. Microsoft AZURE & Amazon AWS  The cloud service provider offers services of cloud computing such as Storage as a Service (Saas), Infrastructure as a Service (Iaas), and Platform as a service (Paas) so on.  The present leading Cloud Service providers are Amazon and Azure.
  • 8. Microsoft Azure Amazon Web Services Machines are individually accessible. Machines grouped into “cloud service” and respond to the same domain name but different ports. It’s storage is sufficiently fast for big data Standard storage has difficulties for big data. More mature environment for big data. Less mature for big data, but improving. Microsoft AZURE & Amazon AWS  Speed: Azure is more faster than AWS.  Cost: The cost maintenance is also more in AWS compared to Azure.