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Service providers of Cloud computing are using virtualization technologies in order to offer cost-effective access to computing resources with the Internet and also to gain the most from virtualization, virtual machines need to be co-located on the same physical server.

A virtual machine in computer science is a software implementation of a computer that executes programs like a real machine. It is used to create a virtual environment, which is called as virtualization. Virtualization enables the user to see the infrastructure of a network through a process of aggregation and can also be used to access multiple operating systems at the same time. A virtual environment is used solely for applications and not for operating system kernels.

Virtual machines are divided into two main categories based degree of correspondence and on their use to any real machine. This machine provides you a complete system platform that supports the execution of a complete operating system so that the user can operate software located on the computer platform.

There are so many different types of virtual machines, used to refer to hardware virtual machine software also called as a virtual machine monitor or hyper visor. This type of machine software makes it possible to run multiple executions on one computer. With the help of the hardware virtual machine software, the user has a private machine i.e. fully functional hardware which is separate from other users. Hardware virtual machine software also helps users to restart and boot their machines quickly.

The application is isolated from the computer being used with virtual machine software. This software can be used on various computer platforms. So, this is possible to create separate versions of the same software for different computers and operating systems. Java Virtual Machine is a great example of an application virtual machine.

A process virtual machine is designed to run a single program. An important characteristic of a virtual machine is that the software which is running inside is limited to the abstractions and resources provided by the virtual machine.

The Process Virtual Machine is a common foundation for graph based execution languages. The Process Virtual Machine can have three main characteristics:

• Processes can potentially include wait states from the perspective of the process engine and be ‘long running’
• The process expresses some kind of execution flow
• Processes are represented graphically to facilitate communication between all stakeholders

So, we can say that a virtual machine can also be a group of computers that work together to create a more powerful machine.

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The cloud computing infrastructure built on servers with different levels of virtualization technologies and consists of reliable services delivered through data centers. These services are accessible anywhere that provides access to networking infrastructure.

The three basic service models to consider are: Public, private, and hybrid clouds

Public clouds

Public clouds are mostly hosted away from customer premises. These clouds are access by third parties and applications are mixed together from different customers on the d networks and storage systems, cloud’s servers. They help to reduce cost and customer risk by providing a flexible extension to enterprise infrastructure.

The existence of other applications that are running in the cloud should be transparent to both end users and cloud architects, if a public cloud is implemented with data locality, security and performance in mind.

The benefits of Public clouds are:

• They can be much larger than a company’s private cloud might be
• Offering the ability to scale up and down on demand
• Shifting infrastructure risks from the enterprise to the cloud provider

Private clouds

Private clouds are providing the control over quality of service, security and data, built for the use of one client. These clouds may be deployed in an enterprise datacenter and may also be deployed at a collocation facility.

Private clouds can be managed and built by a cloud provider or by a company’s own IT organization. In the “hosted private” model, a company can operate, configure and install the infrastructure to support a private cloud within a company’s enterprise datacenter.

The benefits of Private clouds are:

• The model gives companies a high level of control over the use of cloud resources.

Hybrid clouds

Hybrid clouds are a combination of both public and private cloud models. They help to provide on-demand, externally provisioned scale. A private cloud with the resources of a public cloud can be used to maintain service levels in the rapid workload fluctuations. A hybrid cloud also can be used to handle planned workload spikes. It is also called “surge computing,” a public cloud can be used to perform tasks that can be deployed easily on a public cloud.

Hybrid clouds determine how to distribute applications across both a private and public cloud. If the application is stateless or the data is small, a hybrid cloud can be much more successful than if large amounts of data transferred into a public cloud for a small amount of processing.

So, these are the basic service models and rest of the models we will discuss later.

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There are 5 Steps for Building a Cloud Computing Infrastructure:

Step 1: First you should decide which technology will be the basis for your on-demand application infrastructure.

The decision related to which virtualization technology will be the organizational standard is already made. But decide before you start if it has not made. There are cons and pros to both a homogenous and heterogeneous virtualization infrastructure and the decision will impact the ability to monitor and manage infrastructure later. So make this decision first.

Step 2: Determine what delivery infrastructure you will used to abstract the application infrastructure.

Cloud infrastructure’s the on-demand capabilities are first designed to do two things: make efficient use of resources and ensure scalability. Some method of load balancing/application delivery will be necessary to accomplish the former.

To abstract the applications, this layer of the architecture will helpful and will provide a consistent means of access to users, shielding them from the high rate of change which occurs in the infrastructure.

The delivery infrastructure or load balancer will need to be included in the provisioning process and to provide visibility into application capacity, performance as well as resource management.

Many solutions are there to match you choice, but select one solution in which you will integrate the system into the architecture. Also you need to verify the solution that whether it is capable of providing the visibility you will need into performance metrics or not. So, decide what metrics and thresholds you’ll use to trigger provisioning processes and ensure that the infrastructure can support it.

Step 3: Prepare the network infrastructure.

Prepare the network to deal with an on-demand application infrastructure. Application delivery: must be configured correctly for the application being deployed, Hardware: network, storage. The network must be configured to deal with such change without requiring human intervention and must be able to handle applications which migrate from hardware to hardware. For this, the network will require constant optimization to adapt to changing traffic patterns.

Step 4: Provide visibility and automation of management tasks.

Remember, visibility is a key to an on-demand infrastructure. An associated management systems and the infrastructure must know what is running, when and where to evaluate available resources. Find how you will collect the data and from where. Decide which system is authoritative for each metric and verify to feed that information in real-time to the automation system.

Step 5: Integrate all the moving parts, such that the infrastructure and realizes the benefits of automation, abstraction and resource sharing.

The last one is most difficult part, and requires the previous steps be completed. The integration, automation of all the pieces of the infrastructure like storage, network, and application enables the infrastructure to act on-demand. The realization of cost-reduction benefits will be marginalized without automation.

The integration step automates workflow. Automation requires constant monitoring across the application infrastructure from the network layer to the applications executing in the environment.

In many cases this integration may require a custom solution. if you are an early adopter it may be necessary to build management system and an automation framework yourself.

Toward a cloud infrastructure, Virtualization is the first step. It is important to re-evaluate the suitability of each critical layer of the architecture for inclusion in the new infrastructure model.

An investment will require for Building cloud infrastructure, if not in solutions or hardware then in time and effort. Automation, Reconfiguration and Integration will require significant IT resources to accomplish.

Now, we are sure that you are able to build a cloud infrastructure by following all these Steps.

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A computing technology that uses the central remote servers and internet to maintain applications and data is called Cloud computing. It allows businesses and consumers to use applications without installation and also allows them to access their personal files at any computer with internet access.

Cloud computing is divided into three segments:

• Applications
• Platforms
• Infrastructure

Infrastructure, the final segment in cloud computing is the backbone of the entire concept. It provides the physical storage space and processing capabilities. The products in this segment are more varied than other areas of cloud computing. But they include development environments (like Google gears) and managed hosting that allows users to build applications. Cloud storage like Amazon’s S3 is also a part of the infrastructure segment.

There are some companies those who are Major Infrastructure Vendors means they that provide infrastructure services:

• International Business Machines (IBM) – Managed hosting
• Google (GOOG) – Managed hosting, development environment
• SAVVIS (SVVS) – Managed hosting
• Amazon.com (AMZN) – Cloud storage
• Terre mark Worldwide (TMRK) – Managed hosting

There are two methodologies for constructing Infrastructure-as-a-Service (IaaS) AKA “Cloud Infrastructure Services”. The first is “cloud centers” that are data centers in the sky. The second is “Infrastructure Web Service”. These two approaches directly affect your selection of a Cloud Infrastructure provider. These two models highlight a difference in target markets and in core infrastructure. Cloud centers provide a direct equivalent to traditional datacenters and hence are usually more desirable for IT staff, systems operators, and other datacenter savvy folks.

On the other hand, Infrastructure Web Services are more analogous to Service-Oriented-Architectures (SOA) which require significant programming skills and much more comfortable for software developers. Infrastructure Web Services provides different Web Services that can consumed individually or put together to support different kinds of applications, a batch processing or web application of some kind.

These services include:

• Servers on demand via Elastic Compute Cloud (EC2)
• Object-based file storage via Simple Storage Service (S3)
• Block storage on demand via Elastic Block Storage (a part of EC2)
• Content distribution and edge-caching via Cloud Front
• Distributed database functionality via Simple DB (SDB)
• Messaging & queuing via Simple Queuing Service (SQS)
• Billing & re-packaging of the above services via Amazon Dev Pay
• Payment processing via Flexible Payment Services (FPS)

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Cloud hosting is making its way to businesses both large and small. This cloud acts as an outsourcing agent for storage and server needs.

Benefits of Cloud hosting:

• Easy Implementation: A company can get its cloud-computing arrangement without the need to purchase software licenses, hardware or implementation services and for a fraction of the cost of an on-premise solution.
• Immediate Scalability: A company can add and subtract capacity as its network load dictates. Services are added in real time to accommodate unexpected or temporary changes in demand, providing exactly the level of IT power and capacity when needed. So, companies can add or subtract storage based on their own needs.
• Ease of Control and Use: Full control with API and Soft Layer’s Customer Portal provides simplified management as well as direct access to all Soft Layer services and tools.
• Skilled Practitioners: Vendors have been reputable enough to offer reliable service to customers and to deliver huge data centers with maximum amounts of storage and computing capacity. Google, Microsoft, Yahoo! and IBM Inc. and Amazon.com Inc. are industry that includes these vendors.
• Quality of Service: In the case of cloud computing, it’s all up to a company’s selected vendor to offer 24×7 customer supports and an immediate response to emergency situations.
• Pay as you Go or Monthly Packages: You can pay on monthly bases or monthly plans with no long-term commitment, let customers to optimize their return on technology investment by paying only for the resources they need and they use.
• Frees Up Internal Resources: Relieves burden on IT Professionals and frees up their time in the office. The In-house IT departments can focus on business tasks without having additional costs in manpower and training.

Now, many cloud computing vendors offer you greater data confidentiality and security than companies that choose to store their data in house.

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Let’s understand the meaning of Cloud Hosting.

Here, the word ‘cloud’ means a large cluster of computing technology which is owned by a large enterprise. Thus Cloud Hosting is an enterprise-class of web hosting or you can say a website hosted on clustered servers where online operations are not concentrated to a single server, demands for performance and high availability of the website or web services.

Cloud Hosting is a new hosting solution which is suitable for applications such as Web2.0 services, SaaS (Software as a Service) and Virtual data center. The hosting is a style of computing that combines the features of distributed computing and virtualization so that an on-demand computing via a network of computers working as together one.

The software safety aspect for keeping everything hosted, where regular backups and upgrades to software are there to maintain all your information. This is something which doesn’t secure your PC, a lot of information gets lost when upgrades occur.

In a virtual environment, load balance, security, and hardware resource are handled. All the data that you create and use within Cloud computing applications and processes are stored on the Internet and not on one computer. So you can use the application and the data from anywhere as long as you have access to the Internet.

This hosting service enables you to upload your web applications and associated data to the hosting service. Your web application is distributed across a cluster of servers. As your web applications as well as associated data are hosted by the cluster, so any failure or downtime on any one of the servers do not affect your applications. You get the advantage from the levels of bandwidth, storage and processing power designed for applications.

There is a service provider who decides which sites need bandwidth and processing power by detecting how much traffic they are receiving in real time. Thus lots of space capacity available in the system by this set up.

Now, we hope you understand well about the concept of Cloud Hosting. Its main advantage is its ability to scale by adding more servers to the grid. You will find more articles on Cloud hosting on the same site.

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