7 min read
October 12, 2020

Hypervisors: A Comprehensive Guide


Mensur Hajdarbegovic

Hypervisors have found their way into more applications and platforms as technology expands. This comprehensive guide explores what they are and how they are used.

A hypervisor is a software tool that provides an abstraction of a computer’s physical resources and creates a virtualized hardware layer. Hypervisors can create, run, and manage multiple isolated Virtual Machines (VMs) on a virtualized hardware layer.

Diagram explaining what a hypervisor is
a hypervisor environment

In a hypervisor environment, the physical hardware is called the host, while the virtual machines that use the virtualized hardware resources are called guests.

Hypervisors underpin cloud computing technology by subdividing large and powerful physical machines into smaller units, which are easier to sell, maintain, and scale should the need arise. Hypervisors are fundamental in that they’re used by cloud vendors but generally operate unnoticed by end-users. Ultimately, the user gets an easily scalable and reliable virtual machine, while cloud vendors maximize the utilization of their hardware resources, thus allowing them to price their services competitively.

A Brief History of Hypervisors

The first hypervisors running full virtualization were the IBM experimental tool SIMMON and the CP-40 system in the late 1960s. SIMMON was created and used in the IBM Product Test Laboratory for research, while the IBM Cambridge Scientific Center developed the CP-40 that was quickly implemented and released as CP-67. These highly specialized tools were built for research purposes.

Until the introduction of hardware virtualization support in x86 processors in 2005, most hypervisors were used in large and expensive mainframe systems running UNIX. The original software virtualization tools for x86 platform computers were complex and slow. The introduction of hardware virtualization support in x86 processors, the rapid increase in computing power, and multi-core CPUs’ introduction led to broad acceptance and use of hypervisors in the early millennium.

Types of hypervisors

There are two distinct types of hypervisors used for virtualization - type 1 and type 2:

Diagram showing the two types of hypervisors

Type 1

Type 1 hypervisors run directly on the host machine hardware, eliminating the need for an underlying operating system (OS). They are usually used in data centers, on high-performance server hardware designed to run many VMs. Type 1 hypervisors offer better performance as they run directly on the underlying hardware and do not rely on the host’s OS.

Type 2

Type 2 hypervisors are installed and run on a conventional operating system like any other computer application. They are usually deployed on desktop computers and workstations to run a different OS or to run a separate instance of an OS. Popular type 2 hypervisors are VMware Workstation, Oracle VirtualBox, and Parallels Desktop.

Gerald J. Popek and Robert P. Goldberg established this classification of hypervisors in their 1974 article Formal Requirements for Virtualizable Third Generation Architectures.

Benefits of Hypervisors

Some of the key benefits of using a hypervisor and hosting multiple virtual machines are:

  • Efficiency. Hypervisors running several virtual machines make better use of available hardware resources. Using VMs is massively more cost-effective and uses less energy than running multiple physical servers.
  • Speed. Modern hypervisors can create and provision VMs almost instantly, the opposite of the time and effort it takes to Purchase, install, and provision a physical server.
  • Scalability. It is very easy to assign more resources to a VM, like memory, processor cores, or storage. Most modern hypervisors can easily scale VMs.
  • Flexibility. While traditional servers are harder to manage, VMs remain separate from the underlying hardware and are easy to migrate, backup, or clone.

Even the best hypervisors will cause a 1% to 5% reduction in performance leading to one of the downsides of its use: there tends to be incremental performance drops.

Popular Hypervisors

To provide some context around the various uses of the two types of hypervisors, we’ll dive into the most popular hypervisors being used today.

VMware Hypervisors

  • VMware vSphere/ESXi is a type 1 hypervisor for data center server virtualization. vSphere can be used in an on-premise environment or a cloud environment.
  • VMware Fusion is a type 2 hypervisor, targeting MacOS users.
  • VMware Workstation is also a type 2 hypervisor for Windows and Linux platforms.

Hyper-V Hypervisor

Hyper-V, Microsoft’s hypervisor designed for Windows systems, is considered type 1 according to Microsoft. It runs on Windows Server Core, but Hyper-V inserts itself below the operating system and runs directly on the physical hardware.

Citrix Hypervisor

Formerly known as XenServer, Citrix Hypervisor is a commercial type 1 hypervisor.

Open Source Hypervisors

  • KVM kernel modules and user space tools are available in most Linux distributions through their packaging systems.
  • Xen is a type 1 hypervisor that is a project under the Linux Foundation.

Containers vs Hypervisors

While they are similar in some ways, containers and hypervisors are not a choice you have to make. Indeed, Hypervisors and containers are typically utilized simultaneously.

Hypervisors allow you to divide a single computer’s hardware resources between multiple VMs. Containers allow you to split a single computer into segregated logical namespaces. Containers are all about isolation, not virtualization. From an application development point of view, they look like the same thing, but they work in different layers.

Diagram explaining the difference between a container and a virtual machine
Containers vs Hypervisors

Popular containerization tools, like Docker, can create and run multiple containers on the host’s Linux kernel. Every container has its specific network stack and its own process space, including all of the underlying dependencies required to run the application. Containers do not contain the operating system, so they are very compact, and start up in milliseconds. Containers provide an excellent platform for building and sharing packaged, ready-to-run applications, and micro-services.

Containers run closer to the application layer, while hypervisors run closer to the hardware layer. In most cases, hypervisors run the VMs, and containers run on those VMs.

Security Considerations

Hypervisors provide a secure environment for virtual machines, isolated from the rest of the system. In a modern cloud environment, virtualization and hypervisors are so common that cloud providers take care of hypervisor security and VM isolation.

Critical vulnerabilities cause the most significant security risk in the design of modern Intel, ARM, and IBM’s Power CPUs. These vulnerabilities were discovered and made public in 2018 under the names Meltdown and Spectre. The cause of these vulnerabilities was a design flaw in the CPU’s out-of-order execution mechanism. And because it is baked into silicon, there’s no easy way to get around the defect.

Hypervisors were affected in that different VMs on the same fully virtualized hypervisor could not access each other’s data, but different users on the same guest instance could access that data. The only way to mitigate this security risk was by changing the operating system kernel code to add increased isolation of kernel memory from user-mode processes. Software vendors quickly responded with updates to their operating systems and hypervisors, but with a performance drop between 5% and 30%, depending on the use case. In October 2018, Intel reported that they solved these issues in their latest CPU range.

Hypervisors are a fundamental cloud computing technology. Almost every cloud service in use today relies on them. From a hardware standpoint, the ever-increasing number of CPU cores and their performance boosts stand to offer even more potential.

Even inexpensive desktops and laptops feature multi-core CPUs, so it’s easy to see why hypervisors have become more popular. In addition to faster CPUs with more physical cores and multi-threading support, the availability and affordability of modern high-speed SSD (Solid State Drive) storage and speedier PCIe lanes also play an essential role in hypervisor performance.

Hypervisors will likely find their way to even more applications and platforms as technology expands. The demand for cloud services remains robust, the hardware is evolving to offer even more opportunities for cloud deployment, and software engineers worldwide are working tirelessly to keep up with demand and harness even more power and efficiency from cloud-based systems. The sooner we understand the need and benefits of hypervisors, the better off we will all be.


Get Your PDF Copy

Get a full, printable copy of the AWS Show conversation on the various approaches a FinOps program could take to address the #1 FinOps challenge from a practitioner's viewpoint.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.