Virtualization is a process that allows for more efficient utilization of physical computer hardware and is the foundation of cloud computing.
Virtualization uses software to create an abstraction layer over computer hardware that allows the hardware elements of a single computer—processors, memory, storage and more—to be divided into multiple virtual computers, commonly called virtual machines (VMs). Each VM runs its own operating system (OS) and behaves like an independent computer, even though it is running on just a portion of the actual underlying computer hardware.
It follows that virtualization enables more efficient utilization of physical computer hardware and allows a greater return on an organization’s hardware investment.
Today, virtualization is a standard practice in enterprise IT architecture. It is also the technology that drives cloud computing economics. Virtualization enables cloud providers to serve users with their existing physical computer hardware; it enables cloud users to purchase only the computing resources they need when they need it, and to scale those resources cost-effectively as their workloads grow.
For a further overview of how virtualization works, see our video “Virtualization Explained”:
fVirtualization brings several benefits to data center operators and service providers:
For a more in-depth look at the potential benefits, see "5 Benefits of Virtualization."
Several companies offer virtualization solutions covering specific data center tasks or end user-focused, desktop virtualization scenarios. Better-known examples include VMware, which specializes in server, desktop, network, and storage virtualization; Citrix, which has a niche in application virtualization but also offers server virtualization and virtual desktop solutions; and Microsoft, whose Hyper-V virtualization solution ships with Windows and focuses on virtual versions of server and desktop computers.
Virtual machines (VMs) are virtual environments that simulate a physical compute in software form. They normally comprise several files containing the VM’s configuration, the storage for the virtual hard drive, and some snapshots of the VM that preserve its state at a particular point in time.
For a complete overview of VMs, see "What is a Virtual Machine?"
A hypervisor is the software layer that coordinates VMs. It serves as an interface between the VM and the underlying physical hardware, ensuring that each has access to the physical resources it needs to execute. It also ensures that the VMs don’t interfere with each other by impinging on each other’s memory space or compute cycles.
There are two types of hypervisors:
“Hypervisors: A Complete Guide” provides a comprehensive overview of everything about hypervisors.
To this point we’ve discussed server virtualization, but many other IT infrastructure elements can be virtualized to deliver significant advantages to IT managers (in particular) and the enterprise as a whole. In this section, we'll cover the following types of virtualization:
Desktop virtualization lets you run multiple desktop operating systems, each in its own VM on the same computer.
There are two types of desktop virtualization:
For more information on virtual desktops, see “Desktop-as-a-Service (DaaS).”
Network virtualization uses software to create a “view” of the network that an administrator can use to manage the network from a single console. It abstracts hardware elements and functions (e.g., connections, switches, routers, etc.) and abstracts them into software running on a hypervisor. The network administrator can modify and control these elements without touching the underlying physical components, which dramatically simplifies network management.
Types of network virtualization include software-defined networking (SDN), which virtualizes hardware that controls network traffic routing (called the “control plane”), and network function virtualization (NFV), which virtualizes one or more hardware appliances that provide a specific network function (e.g., a firewall, load balancer, or traffic analyzer), making those appliances easier to configure, provision, and manage.
Storage virtualization enables all the storage devices on the network— whether they’re installed on individual servers or standalone storage units—to be accessed and managed as a single storage device. Specifically, storage virtualization masses all blocks of storage into a single shared pool from which they can be assigned to any VM on the network as needed. Storage virtualization makes it easier to provision storage for VMs and makes maximum use of all available storage on the network.
For a closer look at storage virtualization, check out "What is Cloud Storage?"
Modern enterprises store data from multiple applications, using multiple file formats, in multiple locations, ranging from the cloud to on-premise hardware and software systems. Data virtualization lets any application access all of that data—irrespective of source, format, or location.
Data virtualization tools create a software layer between the applications accessing the data and the systems storing it. The layer translates an application’s data request or query as needed and returns results that can span multiple systems. Data virtualization can help break down data silos when other types of integration aren’t feasible, desirable, or affordable.
Application virtualization runs application software without installing it directly on the user’s OS. This differs from complete desktop virtualization (mentioned above) because only the application runs in a virtual environment—the OS on the end user’s device runs as usual. There are three types of application virtualization:
Data center virtualization abstracts most of a data center’s hardware into software, effectively enabling an administrator to divide a single physical data center into multiple virtual data centers for different clients.
Each client can access its own infrastructure as a service (IaaS), which would run on the same underlying physical hardware. Virtual data centers offer an easy on-ramp into cloud-based computing, letting a company quickly set up a complete data center environment without purchasing infrastructure hardware.
CPU (central processing unit) virtualization is the fundamental technology that makes hypervisors, virtual machines, and operating systems possible. It allows a single CPU to be divided into multiple virtual CPUs for use by multiple VMs.
At first, CPU virtualization was entirely software-defined, but many of today’s processors include extended instruction sets that support CPU virtualization, which improves VM performance.
A GPU (graphical processing unit) is a special multi-core processor that improves overall computing performance by taking over heavy-duty graphic or mathematical processing. GPU virtualization lets multiple VMs use all or some of a single GPU’s processing power for faster video, artificial intelligence (AI), and other graphic- or math-intensive applications.
Linux includes its own hypervisor, called the kernel-based virtual machine (KVM), which supports Intel and AMD’s virtualization processor extensions so you can create x86-based VMs from within a Linux host OS.
As an open source OS, Linux is highly customizable. You can create VMs running versions of Linux tailored for specific workloads or security-hardened versions for more sensitive applications.
As noted above, the cloud computing model depends on virtualization. By virtualizing servers, storage, and other physical data center resources, cloud computing providers can offer a range of services to customers, including the following:
If you’d like to learn more about these cloud service models, see our guide: “IaaS vs. PaaS vs. SaaS.”
Server virtualization reproduces an entire computer in hardware, which then runs an entire OS. The OS runs one application. That’s more efficient than no virtualization at all, but it still duplicates unnecessary code and services for each application you want to run.
Containers take an alternative approach. They share an underlying OS kernel, only running the application and the things it depends on, like software libraries and environment variables. This makes containers smaller and faster to deploy.
Check out the blog post "Containers vs. VMs: What's the difference?" for a closer comparision.
In the following video, Sai Vennam breaks down the basics of containerization and how it compares to virtualization via VMs:
VMware creates virtualization software. VMware began by offering server virtualization only—its ESX (now ESXi) hypervisor was one of the earliest commercially successful virtualization products. Today VMware also offers solutions for network, storage, and desktop virtualization.
For a deep dive on everything involving VMware, see “VMware: A Complete Guide.”
Virtualization offers some security benefits. For example, VMs infected with malware can be rolled back to a point in time (called a snapshot) when the VM was uninfected and stable; they can also be more easily deleted and recreated. You can’t always disinfect a non-virtualized OS, because malware is often deeply integrated into the core components of the OS, persisting beyond system rollbacks.
Virtualization also presents some security challenges. If an attacker compromises a hypervisor, they potentially own all the VMs and guest operating systems. Because hypervisors can also allow VMs to communicate between themselves without touching the physical network, it can be difficult to see their traffic, and therefore to detect suspicious activity.
A Type 2 hypervisor on a host OS is also susceptible to host OS compromise.
The market offers a range of virtualization security products that can scan and patch VMs for malware, encrypt entire VM virtual disks, and control and audit VM access.
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A virtual machine is a virtual representation, or emulation, of a physical computer. Virtualization makes it possible to create multiple virtual machines on a single physical computer.
Hypervisors make virtualization possible by enabling multiple operating system instances to run alongside each other on the same physical computing resources.
Cloud computing transforms IT infrastructure into a utility, letting you ‘plug in' to computing resources and applications over the internet, without installing and maintaining them on-premises.
IBM Cloud offers the opportunity to configure and run your own VMs based on a range of technical and pricing options. You can select technical profiles for VMs based on the required computing power, memory, local storage, and GPU capabilities, tailoring the system for your specific workload. And choose from public or private nodes to suit your security and compliance requirements.