The Six Types of Virtualization in Cloud Computing

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Businesses use virtualization to efficiently manage their cloud environment. Here’s an overview of the different types and what each can offer.

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In today’s enterprise IT infrastructure, virtualization has become mainstream as companies seek more productive and cost-effective ways to run their businesses. With cloud computing being one of the main drivers of digital transformation in recent years, the adoption of virtualization creates an environment for cloud providers and users to manage and deliver cloud services more efficiently.

Virtualization allows operating systems, applications, and data storage from software or hardware to be represented in virtual form. With the number of enterprises moving their resources to the cloud, it is becoming more and more expedient for cloud providers to use virtualization to configure their services according to the individual needs of their customers, making their services more scalable and flexible.

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In cloud computing, virtualization allows cloud providers to create a virtual emulation of multiple products or services on a single machine without affecting system efficiency. In addition to helping cloud providers reduce hardware resources and implement energy-efficient computing techniques, virtualization allows cloud users to purchase computing resources based on their needs. This helps end users subscribe to only the necessary computing resources as their workload increases.

There are a variety of types to consider, and knowing them would help you ensure that you are applying virtualization in your IT infrastructure to the right instances. That said, let’s review six types of virtualization.

1. Storage virtualization

Storage management is an area of ​​cloud computing that has been improved in recent years through virtualization. Storage virtualization involves collecting and merging multiple physical storage units and rendering them as a storage cluster on a network.

This type is often convenient for businesses and individuals who want to expand and scale their storage without investing in physical storage facilities. Additionally, storage virtualization improves the efficiency of storage management by ensuring that multiple storage points are easily accessible from a single repository.

2. Network virtualization

Network virtualization is used to merge multiple networks into one, duplicate network resources, and perform interconnection between virtual machines.

With network virtualization, virtual networks can be separated and deployed, each having its unique configuration without affecting the other. For example, when creating a virtual network, you can share your bandwidths and assign them separately to different channels where they are needed most. Additionally, network virtualization allows different users to run the same virtual network on a physical network without causing network latency issues.

3. Application Virtualization

The main purpose of application virtualization is to ensure that cloud users have remote access to applications from a server. The server contains all the information and functionalities necessary for the operation of the application and is accessible via the Internet. Therefore, you don’t need to install the app on your native device to access it. Application virtualization gives end users the ability to access two different versions of the same application through a hosted application or a software package.

4. Workstation virtualization

Desktop virtualization is typically used to remotely host end user operating systems on a server or data center. This type also allows users to access their workstations using different machines.

Virtualizing your workstations gives users the ability to work on multiple operating systems depending on the requirements of a project. Besides flexibility, desktop virtualization offers portability, user mobility, software updates and patch management.

5. Data Virtualization

Sometimes organizations face the challenge of analyzing data pulled from different sources. Data virtualization helps solve this problem by ensuring that data pulled from multiple sources is analyzed collectively to improve productivity.

Additionally, storage virtualization also ensures that organizations can centrally manage all of their data stored in multiple sources such as Google Analytics, Excel files, and HubSpot reports, and render it as a single data set. .

6. Server Virtualization

Server virtualization helps organizations partition server resources in a way that ensures full resource utilization. One of its main purposes is that it helps in splitting huge physical servers into multiple virtual server instances. This allows each server to be hidden and run as a standalone server.

With server virtualization, organizations can scale their server resources without investing in physical servers and deploy them based on user demands, needs, and computing power.

Benefits of virtualization in a cloud environment

Virtualization in cloud computing has several advantages and has become essential as the demand for computing increases. A notable advantage is that an entire system is saved from possible crash when there is a system crash in some part of the system. At the same time, virtualization ensures that computing environments are easily protected against viruses and bugs when testing new software.

Additionally, virtualization facilitates data transfer, as organizations can move data between virtual devices and servers, which saves time. Additionally, with virtualized desktops and storage, businesses can also move an entire machine without the need for physical infrastructure. This improves the efficiency, productivity and profitability of managing cloud environments.

It’s a topic worth exploring further and a recent TechRepublic article looked at the pros, cons, and defining characteristics of virtualization, while another feature offered advice on nine things you shouldn’t. virtualize.


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