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Cloud Computing


Cloud Computing

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									                 CLOUD COMPUTING IN TECHNOLOGY

 Cloud computing is the delivery of computing as a service rather

than a product, whereby shared resources, software, and

information are provided to computers and other devices as a

metered service over a network (typically the Internet).

      Computing cloud provides computation, software, data access,

and storage resources without requiring cloud users to know the

location and other details of the computing infrastructure.

      End users access cloud based applications through a web

browser or a light weight desktop or mobile app while the business

software and data are stored on servers at a remote location. Cloud

application providers strive to give the same or better service and

performance as if the software programs were installed locally on

end-user computers.

      At the foundation of cloud computing is the broader concept of

infrastructure convergence (or Converged Infrastructure) and shared

services. This type of data centre environment allows enterprises to

get    their   applications   up   and   running   faster,   with   easier
manageability and less maintenance, and enables IT to more rapidly

adjust IT resources (such as servers, storage, and networking) to

meet fluctuating and unpredictable business demand.


     Empowerment of end-users of computing resources by putting

      the provisioning of those resources in their own control, as

      opposed to the control of a centralized IT service (for example)

     Agility improves with users' ability to re-provision technological

      infrastructure resources.
   Application programming interface (API) accessibility to

    software that enables machines to interact with cloud software

    in the same way the user interface facilitates interaction

    between humans and computers. Cloud computing systems

    typically use REST-based APIs.

   Cost is claimed to be reduced and in a public cloud delivery

    model   capital   expenditure    is   converted   to   operational

    expenditure. This is purported to lower barriers to entry, as

    infrastructure is typically provided by a third-party and does not

    need to be purchased for one-time or infrequent intensive

    computing tasks. Pricing on a utility computing basis is

    fine-grained with usage-based options and fewer IT skills are

    required for implementation (in-house).

   Device and location independence enable users to access

    systems using a web browser regardless of their location or

    what device they are using (e.g., PC, mobile phone). As

    infrastructure is off-site (typically provided by a third-party)

    and accessed via the Internet, users can connect from

   Virtualization technology allows servers and storage devices to

    be shared and utilization be increased. Applications can be

    easily migrated from one physical server to another.

   Multi-tenancy enables sharing of resources and costs across a

    large pool of users thus allowing for:

       o   Centralization of infrastructure in locations with lower

           costs (such as real estate, electricity, etc.)

       o   Peak-load capacity increases (users need not engineer for

           highest possible load-levels)

       o   Utilization and efficiency improvements for systems that

           are often only 10–20% utilised

   Reliability is improved if multiple redundant sites are used,

    which makes well-designed cloud computing suitable for

    business continuity and disaster recovery.

   Scalability    and    Elasticity   via   dynamic        ("on-demand")

    provisioning of resources on a fine-grained, self-service basis

    near real-time, without users having to engineer for peak loads.
   Performance is monitored and consistent and loosely coupled

    architectures are constructed using web services as the system


   Security could improve due to centralization of data, increased

    security-focused resources, etc., but concerns can persist

    about loss of control over certain sensitive data, and the lack of

    security for stored kernels. Security is often as good as or

    better than other traditional systems, in part because providers

    are able to devote resources to solving security issues that

    many customers cannot afford. However, the complexity of

    security is greatly increased when data is distributed over a

    wider area or greater number of devices and in multi-tenant

    systems that are being shared by unrelated users. In addition,

    user access to security audit logs may be difficult or impossible.

    Private cloud installations are in part motivated by users' desire

    to retain control over the infrastructure and avoid losing control

    of information security.
     Maintenance of cloud computing applications is easier, because

      they do not need to be installed on each user's computer and

      can be accessed from different places.


     Autonomic computing — Computer systems capable of


     Client–server model — Client–server computing refers broadly

      to any distributed application that distinguishes between

      service providers (servers) and service requesters (clients).

     Grid computing — "A form of distributed and parallel computing,

      whereby a 'super and virtual computer' is composed of a cluster

      of networked, loosely coupled computers acting in concert to

      perform very large tasks."

     Mainframe computer — Powerful computers used mainly by

      large organizations for critical applications, typically bulk data

      processing such as census, industry and consumer statistics,

      police and secret intelligence services, enterprise resource

      planning, and financial transaction processing.
      Utility computing — The "packaging of computing resources,

       such as computation and storage, as a metered service similar

       to a traditional public utility, such as electricity."

      Peer-to-peer — Distributed architecture without the need for

       central coordination, with participants being at the same time

       both suppliers and consumers of resources (in contrast to the

       traditional client–server model).


      Once an internet protocol connection is established among

several computers, it is possible to share services within any one of

the following layers.

    Users access cloud computing using networked client devices,

such as desktop computers, laptops, tablets and smartphones. Some

of these devices - cloud clients - rely on cloud computing for all or a

majority of their applications so as to be essentially useless without it.

Examples are thin clients and the browser-based Chromebook. Many

cloud applications do not require specific software on the client and

instead use a web browser to interact with the cloud application.

With AJAX and HTML5 these Web user interfaces can achieve a

similar or even better look and feel as native applications. Some

cloud applications, however, support specific client software

dedicated to these applications (e.g., virtual desktop clients and

most email clients). Some legacy applications (line of business

applications that until now have been prevalent in thin client

Windows computing) are delivered via a screen-sharing technology.


Cloud application services or "Software as a Service (SaaS)" deliver

software as a service over the Internet, eliminating the need to
install and run the application on the customer's own computers and

simplifying maintenance and support.

   A cloud application is software provided as a service. It consists

of the following: a package of interrelated tasks, the definition of

these tasks, and the configuration files, which contain dynamic

information about tasks at run-time. Cloud tasks provide compute,

storage, communication and management capabilities. Tasks can be

cloned into multiple virtual machines, and are accessible through

application programmable interfaces (API). Cloud applications are a

kind of utility computing that can scale out and in to match the

workload demand. Cloud applications have a pricing model that is

based on different compute and storage usage, and tenancy metrics.

    What    makes    a   cloud   application   different   from   other

applications is its elasticity. Cloud applications have the ability to

scale out and in. This can be achieved by cloning tasks in to multiple

virtual machines at run-time to meet the changing work demand.

Configuration Data is where dynamic aspects of cloud application are

determined at run-time. There is no need to stop the running
application or redeploy it in order to modify or change the

information in this file.

    SOA is an umbrella that describes any kind of service. A cloud

application is a service. A cloud application meta-model is a SOA

model that conforms to the SOA meta-model. This makes cloud

applications SOA applications. However, SOA applications are not

necessary cloud applications. A cloud application is a SOA application

that runs under a specific environment, which is the cloud computing

environment (platform). This environment is characterized by

horizontal scalability, rapid provisioning, ease of access, and flexible

prices. While SOA is a business model that addresses the business

process management, cloud architecture addresses many technical

details that are environment specific, which makes it more a

technical model.


    Cloud platform services, also known as platform as a service

(PaaS), deliver a computing platform and/or solution stack as a

service, often consuming cloud infrastructure and sustaining cloud
applications. It facilitates deployment of applications without the cost

and complexity of buying and managing the underlying hardware

and software layers. Cloud computing is becoming a major change in

the computing industry, and one of the most important parts of this

change is the shift of cloud platforms. Platforms let developers write

certain applications that can run in the cloud, or even use services

provided by the cloud. There are different names being used for

platforms which can include the on-demand platform, or Cloud 9.

Regardless of the nomenclature, they all have great potential in

developing, and when development teams create applications for the

cloud, each must build its own cloud platform.


Cloud infrastructure services, also known as "infrastructure as a

service" (IaaS), deliver computer infrastructure – typically a platform

virtualization environment – as a service, along with raw (block)

storage and networking. Rather than purchasing servers, software,

data-center space or network equipment, clients instead buy those

resources as a fully outsourced service. Suppliers typically bill such
services on a utility computing basis; the amount of resources

consumed (and therefore the cost) will typically reflect the level of



    The Layers contain both hardware and software, these are the

layers on the server. Products that are specifically designed for the

delivery    of   cloud   services,   including   multi-core   processors,

cloud-specific    operating    systems     and    combined     offerings.

Deployment models
Types Of Cloud Computing:

Public cloud

   A public cloud is one based on the standard cloud computing

model, in which a service provider makes resources, such as

applications and storage, available to the general public over the

Internet. Public cloud services may be free or offered on a

pay-per-usage model.

Community cloud

   Community      cloud   shares   infrastructure   between   several

organizations from a specific community with common concerns

(security, compliance, jurisdiction, etc.), whether managed internally

or by a third-party and hosted internally or externally. The costs are

spread over fewer users than a public cloud (but more than a private

cloud), so only some of the cost savings potential of cloud computing

are realized.
Hybrid cloud

   Hybrid cloud is a composition of two or more clouds (private,

community, or public) that remain unique entities but are bound

together, offering the benefits of multiple deployment models. It can

also be defined as multiple cloud systems that are connected in a

way that allows programs and data to be moved easily from one

deployment system to another.

Private cloud

   Private cloud is infrastructure operated solely for a single

organization, whether managed internally or by a third-party and

hosted internally or externally.

   They have attracted criticism because users "still have to buy,

build, and manage them" and thus do not benefit from less hands-on

management, essentially "[lacking] the economic model that makes

cloud computing such an intriguing concept".

Cloud computing sample architecture

   Cloud architecture, the systems architecture of the software

systems involved in the delivery of cloud computing, typically

involves multiple cloud components communicating with each other

over a loose coupling mechanism such as a messaging queue. Elastic

provision implies intelligence in the use of tight or loose coupling as

applied to mechanisms such as these and others.

The Intercloud

   The Intercloud is an interconnected global "cloud of clouds" and

an extension of the Internet "network of networks" on which it is

Cloud engineering

   Cloud engineering is the application of engineering disciplines to

cloud computing. It brings a systematic approach to the high level

concerns of commercialization, standardization, and governance in

conceiving, developing, operating and maintaining cloud computing

systems. It is a multidisciplinary method encompassing contributions

from diverse areas such as systems, software, web, performance,

information, security, platform, risk, and quality engineering.

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