How Hypervisors Control Multiple Virtual Machines


I had three
VMs running at once on my home lab machine — a Kali box for a client's pentest prep, an Ubuntu server I was testing a deployment script on, and a Windows VM I keep around just for testing phishing links safely. Nothing crazy, just a normal Tuesday.

Then I kicked off a big nmap scan on the Kali VM, and my Ubuntu VM basically froze for about ten seconds. Not crashed. Just... paused, like someone hit mute on it.

My first thought was that something broke. My second thought, after I stared at Task Manager for a minute, was: oh. This isn't a bug. This is the hypervisor doing exactly what it's supposed to do — deciding, in real time, which VM gets the CPU right now and which one waits.

That moment is really what got me curious enough to actually dig into how a hypervisor "controls" multiple VMs, instead of just knowing that it does.

Also Read: What Happens When a Virtual Machine Crashes


It's Not Really Magic — It's Traffic Control

Here's the thing nobody tells you when you first start using VirtualBox or VMware: your VMs don't each get a slice of the CPU carved out permanently. There's no little fenced-off piece of the processor sitting there waiting just for your Ubuntu VM.

Instead, the hypervisor is constantly making tiny decisions, dozens of times per second, about which virtual CPU (vCPU) gets to run on a physical core right now. It's less like dividing a cake and more like an air traffic controller lining up planes to land on the same runway. Everyone gets a turn, but the order and timing depend on who's asking for what, at that moment.

When I ran that nmap scan, Kali suddenly wanted a lot of CPU time. The hypervisor's scheduler saw that demand spike and gave it priority for those few seconds. My Ubuntu VM wasn't broken — it was just waiting in line.


The Three Things a Hypervisor Is Actually Juggling

Once I understood the CPU part, I realized the same "traffic control" logic applies to basically everything a VM needs.

1. CPU Scheduling

Each VM thinks it has its own dedicated processor. It doesn't. The hypervisor maps virtual CPUs to physical cores on the fly. If you've ever set "4 vCPUs" on a VM in VirtualBox and your host only has 4 physical cores total, you've basically told the hypervisor "please juggle everything I own using the same 4 balls I need for my host OS too." That's a mistake I made early on, and I'll get to that.

2. Memory Management

This one surprised me the most. Hypervisors like VMware ESXi and Hyper-V don't just hand out RAM and forget about it. They use a trick called memory ballooning — a small driver inside the guest OS that can "inflate" and quietly ask the guest to give back memory it's not actively using, so the hypervisor can hand it to a VM that needs it more urgently.

I noticed this firsthand when a VM I hadn't touched in days suddenly reported less available RAM than I'd allocated. Turns out the host had reclaimed some of it because another VM was under memory pressure.

There's also overcommitment — most hypervisors let you allocate more total RAM to VMs than the host physically has, betting that not every VM will use its full allocation at the same time. This works great until it doesn't, which is a mistake covered below.

3. Storage and Network I/O

This is the one people forget entirely. Every VM's virtual disk reads and writes ultimately funnel through the same physical disk (or SSD/NVMe) on the host. The hypervisor arbitrates these requests too.

If you've ever had one VM doing a huge file copy while another VM feels sluggish even though its CPU and RAM usage looks totally fine — that's disk I/O contention, not a CPU or memory issue. Same goes for network: hypervisors run a virtual switch (vSwitch in VMware, a virtual network adapter setup in VirtualBox/Hyper-V) that routes traffic between VMs and out to the physical NIC, and it's making bandwidth-sharing decisions constantly.


How to Actually See This Happening Yourself

If you want to watch a hypervisor manage this in real time instead of just reading about it, here's what I did — you can replicate it with just VirtualBox or VMware Workstation on a normal laptop.

  1. Spin up two lightweight VMs. A minimal Ubuntu Server install works fine for both — you don't need anything fancy.
  2. Open a resource monitor on the host. Task Manager's Performance tab on Windows, or htop if your host is Linux.
  3. Run a stress test on one VM. Something like stress --cpu 4 (install via sudo apt install stress) will spike CPU usage hard.
  4. Watch the second VM while the first is under load. Try running something simple in it, like opening a file or scrolling a terminal. You'll feel the lag if your host doesn't have enough physical cores to comfortably cover both.
  5. Check your hypervisor's own resource dashboard. VirtualBox shows this loosely under VM settings; if you're using Proxmox or ESXi, the built-in resource graphs make this scheduling behavior really visible — you can literally watch CPU ready time (the time a VM spent waiting for its turn) climb when there's contention.

That "CPU ready time" metric in Proxmox and ESXi is honestly the best teacher here. It's a direct number showing how long your VM was sitting in line, waiting for the hypervisor to give it a turn on a physical core.

Also Read: Why Containers Can Run the Same App Almost Anywhere


Mistakes I Made That You Can Skip

  • Overallocating vCPUs like it's free. Early on I gave every VM 4 vCPUs "just in case," on a laptop with a 6-core CPU. That's not how it works — the hypervisor still has to schedule all those virtual cores across the same 6 physical ones, and giving VMs more vCPUs than they need actually makes scheduling harder, not easier. Fewer, right-sized vCPUs almost always perform better than generously overallocated ones.
  • Assuming allocated RAM equals guaranteed RAM. I once set a VM to 8GB RAM assuming that was locked in and safe, without realizing overcommitment meant the hypervisor could reclaim unused chunks of it under pressure. If your workload genuinely needs guaranteed memory (like a database VM), look into memory reservations, not just allocations — most hypervisors let you set a hard floor.
  • Ignoring disk I/O entirely. I spent a confused afternoon convinced my Windows test VM had a CPU problem, when really my Ubuntu VM was hammering the shared SSD with a backup job. Once I staggered the backup schedule, the "CPU problem" vanished. Lesson learned: check disk I/O before you blame the CPU.
  • Running everything without checking hardware virtualization support. If your VMs feel sluggish across the board even with light workloads, check that VT-x (Intel) or AMD-V is actually enabled in your BIOS. I've seen this off by default on a few laptops, and without it, your hypervisor is doing a lot more software-level emulation work than it needs to.


Why This Actually Matters Beyond Curiosity

Understanding this changed how I set up client environments. When I'm prepping a VM for a pentest engagement now, I don't just eyeball "give it 4 cores and 8GB and hope." I actually think about what else is running alongside it, whether the workload is CPU-heavy or I/O-heavy, and size accordingly. It's the difference between a scan that runs clean and one that mysteriously stalls halfway through because three other VMs were quietly fighting it for disk access.

The hypervisor isn't just a wall between your VMs — it's an active referee, constantly deciding who gets what, when. Once you start watching for that in your own resource monitors, a lot of "random" VM slowness stops feeling random at all.

Hashir
Author At TopicGems • Published Monday, September 7, 2026
Hashir is a freelance cybersecurity professional and web developer, working with clients since 2022. He writes about virtualization, networking, and cloud infrastructure based on hands-on client work.

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