{"id":76,"date":"2025-11-26T01:32:00","date_gmt":"2025-11-26T01:32:00","guid":{"rendered":"https:\/\/virtualserversvps.com\/blog\/?p=76"},"modified":"2026-10-30T22:07:53","modified_gmt":"2026-10-30T22:07:53","slug":"kvm-vps-steal-time-virtio-vs-emulated-devices","status":"publish","type":"post","link":"https:\/\/virtualserversvps.com\/blog\/kvm-vps-steal-time-virtio-vs-emulated-devices\/","title":{"rendered":"KVM VPS Performance: Steal Time, virtio vs Emulated Devices, and What You Can Tune"},"content":{"rendered":"<p class=\"wp-block-paragraph\">A KVM guest that reports 100% CPU usage and delivers 60% of the throughput of an identical bare-metal host is telling you two different things at once. The first is that the hypervisor took time away from your vCPU, which appears as steal time. The second is that the guest is driving emulated hardware where a paravirtual driver would have been used, which appears as elevated system time per I\/O operation. Both look like &#8220;the server is slow&#8221; and both have concrete counters attached.<\/p>\n\n<p class=\"wp-block-paragraph\">Steal time is the single most useful number on a VPS because it cannot be hidden: <code>\/proc\/stat<\/code> reports it per CPU, and a sustained value above 5% on a production guest means the pCPU is oversubscribed or your neighbour is running a compilation loop. This article separates the two failure modes, gives thresholds, and lists what you can actually change from inside a guest. If you have not yet picked a provider, check which ones publish CPU allocation models on our <a href=\"https:\/\/virtualserversvps.com\/#providers\">provider comparison list<\/a> before chasing kernel knobs.<\/p>\n\n\n<h2 class=\"wp-block-heading\">Reading Steal Time Correctly<\/h2>\n\n\n<p class=\"wp-block-paragraph\">The <code>steal<\/code> field in <code>\/proc\/stat<\/code> is the eighth column, measured in USER_HZ ticks of time during which the vCPU was runnable but the hypervisor scheduled something else. It is accounted per-vCPU, so an 8-vCPU guest can show 0% on six CPUs and 40% on two, which is common when the hypervisor pins your vCPUs unevenly or when one process is bound to a single thread.<\/p>\n\n<p class=\"wp-block-paragraph\">Aggregate numbers hide this. Always read per-CPU, over a window long enough to smooth the 100 Hz tick, and correlate with the application&#8217;s own latency. A 2% average that is 0% for 50 seconds and 8% for 10 seconds is not the same system as a steady 2%.<\/p>\n\n\n<pre class=\"wp-block-code\"><code># per-vCPU steal, 5 samples at 2s\nmpstat -P ALL 2 5 | awk 'NR==1 || \/^[0-9]\/ {print $2, $3, $4, $6, $9}'\n\n# raw ticks: fields 1..10 of each cpu line, 8th is steal\nawk '\/^cpu\/ {print $1, \"steal_ticks=\" $9}' \/proc\/stat\n\n# steal since boot as a percentage of total\nawk '\/^cpu \/ {t=$2+$3+$4+$5+$6+$7+$8+$9; print 100*$9\/t}' \/proc\/stat<\/code><\/pre>\n\n\n<p class=\"wp-block-paragraph\">Field numbering varies between kernel versions and tooling. Verify by diffing two reads a second apart rather than trusting a blog post, including this one: the steal column is the one that increases while <code>idle<\/code> does not.<\/p>\n\n\n<h2 class=\"wp-block-heading\">virtio versus Emulated: The Second Failure Mode<\/h2>\n\n\n<p class=\"wp-block-paragraph\">An emulated disk or NIC means every I\/O operation traps into the hypervisor, which decodes the instruction, emulates the device register write, and returns. A single 4 KiB random read on an emulated IDE controller can cost 10-20 microseconds of hypervisor time; the same read through virtio-blk or virtio-scsi costs roughly 1-3 microseconds on the same host. Multiply by 20,000 IOPS and the difference is a full core.<\/p>\n\n<p class=\"wp-block-paragraph\">The tell is not steal time but system time per operation, plus the device names. <code>\/dev\/sda<\/code> through <code>\/dev\/sdz<\/code> on a guest can be either virtio or SATA; <code>\/dev\/vda<\/code> is virtio, and anything under <code>\/sys\/block\/*\/device\/model<\/code> reading QEMU HARDDISK is emulated.<\/p>\n\n\n<pre class=\"wp-block-code\"><code>lsblk -o NAME,TRAN,SIZE,MODEL\ncat \/sys\/block\/vda\/device\/model 2>\/dev\/null\nethtool -i eth0 | grep -E 'driver|version'\nlspci | grep -iE 'virtio|ethernet|sata'\ndmesg | grep -iE 'virtio_blk|virtio_net|ata[0-9]'<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead><tr><th>Device<\/th><th>Typical cost per 4K read<\/th><th>Guest system time at 20k IOPS<\/th><\/tr><\/thead>\n<tbody>\n<tr><td>virtio-blk (no iothread)<\/td><td>1-3 \u00b5s<\/td><td>2-6% of a core<\/td><\/tr>\n<tr><td>virtio-scsi with iothread<\/td><td>2-4 \u00b5s<\/td><td>4-8%<\/td><\/tr>\n<tr><td>emulated AHCI\/SATA<\/td><td>10-20 \u00b5s<\/td><td>20-40%<\/td><\/tr>\n<tr><td>emulated IDE<\/td><td>15-30 \u00b5s<\/td><td>30-60%<\/td><\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">When Emulation Appears Without a Compromise<\/h2>\n\n\n<p class=\"wp-block-paragraph\">Some guests show a virtio disk and still pay emulation-like costs in the network stack. The reason is usually that the virtio-net device is running without multi-queue, so every packet is handled on a single vCPU regardless of how many you have. Check the queue count and whether the guest driver negotiated queue pairs.<\/p>\n\n<p class=\"wp-block-paragraph\">The other common case is <code>virtio-balloon<\/code> pressure. When the host needs memory back it inflates the balloon, and the guest&#8217;s page allocator starts reclaiming hot cache to satisfy what looks like normal pressure. That produces latency spikes that have nothing to do with CPU at all \u2014 and no steal time, which is what makes it confusing.<\/p>\n\n\n<pre class=\"wp-block-code\"><code>ethtool -l eth0                 # current vs maximum combined channels\nls \/sys\/class\/net\/eth0\/queues\/\ncat \/sys\/devices\/system\/cpu\/online\negrep -i 'balloon|ballooned' \/var\/log\/kern.log<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\">Thresholds Worth Acting On<\/h2>\n\n\n<p class=\"wp-block-paragraph\">These are starting points for a guest running a latency-sensitive service, not universal truths. A batch host can tolerate far more. The point is to have a number that triggers investigation instead of a vague sense that things feel slow.<\/p>\n\n\n<figure class=\"wp-block-table\"><table>\n<thead><tr><th>Metric<\/th><th>Healthy<\/th><th>Investigate<\/th><th>Escalate to host<\/th><\/tr><\/thead>\n<tbody>\n<tr><td>steal time, p95 per vCPU<\/td><td>&lt; 3%<\/td><td>3-8%<\/td><td>&gt; 10% sustained<\/td><\/tr>\n<tr><td>steal on any single vCPU<\/td><td>&lt; 5%<\/td><td>5-15%<\/td><td>&gt; 20%<\/td><\/tr>\n<tr><td>system time at 10k IOPS<\/td><td>&lt; 8%<\/td><td>8-20%<\/td><td>&gt; 25%<\/td><\/tr>\n<tr><td>p99 read latency, 4K random<\/td><td>&lt; 1 ms<\/td><td>1-5 ms<\/td><td>&gt; 10 ms<\/td><\/tr>\n<tr><td>run queue length<\/td><td>&lt; vCPUs<\/td><td>= vCPUs<\/td><td>&gt; 2x vCPUs<\/td><\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">What You Can Tune Inside the Guest<\/h2>\n\n\n<p class=\"wp-block-paragraph\">You cannot fix steal time from inside the guest; that is a scheduling decision made by the host. You can reduce how much of it you suffer, by using fewer busy-polling threads and by making sure you do not have more runnable threads than vCPUs. A process pool of 16 workers on a 4-vCPU guest spends most of its time waiting for a CPU it does not have, and steal simply adds to that queue.<\/p>\n\n<p class=\"wp-block-paragraph\">Block layer settings are yours to change. Raising the virtio queue depth and switching the I\/O scheduler to <code>none<\/code> for an SSD-backed virtio device reduces per-request overhead measurably, because <code>mq-deadline<\/code> adds merge and sort work that a fast device does not need. On emulated devices that change is irrelevant \u2014 the trap dominates.<\/p>\n\n\n<pre class=\"wp-block-code\"><code>echo none > \/sys\/block\/vda\/queue\/scheduler\ncat \/sys\/block\/vda\/queue\/nr_requests      # 128 default, 256 for NVMe-backed\ncat \/sys\/block\/vda\/queue\/max_sectors_kb\ncat \/proc\/sys\/kernel\/sched_rr_timeslice_ms<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\">Method Before Tuning Thresholds<\/h2>\n\n\n<p class=\"wp-block-paragraph\">Fix the measurement before you change anything. A single <code>mpstat<\/code> sample means nothing; collect at 10-second intervals for an hour and compare the p95, not the mean. And check <code>cat \/proc\/pressure\/cpu<\/code> on 5.8+ kernels, which shows how much time tasks spent stalled on CPU rather than simply runnable \u2014 the two diverge when steal is present.<\/p>\n\n\n<h2 class=\"wp-block-heading\">Measuring the Difference Properly<\/h2>\n\n\n<p class=\"wp-block-paragraph\">To prove an emulated device is costing you, compare the same workload on two guests that differ only in the controller. Run <code>fio<\/code> with a fixed queue depth and iodepth, capture guest system time from <code>pidstat<\/code>, and compare microseconds per request rather than total throughput \u2014 throughput is usually capped by the storage backend long before the controller matters.<\/p>\n\n<p class=\"wp-block-paragraph\">For steal, the comparison is temporal, not spatial: record per-vCPU steal every 10 seconds for an hour, then overlay your application&#8217;s p99 latency. If the two curves move together, the latency has a scheduling cause and no amount of guest tuning will fix it. That is the point to ask the provider for a different host, and to check whether the plan&#8217;s CPU is dedicated or shared \u2014 the <a href=\"https:\/\/virtualserversvps.com\/#features\">VPS feature breakdown<\/a> lists which tiers state dedicated cores, which is the only durable fix.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>When it comes to choosing a hosting solution, understanding the nuances of various types of Virtual Private Servers (VPS) is crucial. One of the most efficient and popular options available today is the\u00a0KVM virtual server VPS. For those interested in exploring reliable options, check out\u00a0Virtual Servers VPS\u00a0for comprehensive services tailored to your needs.<\/p>\n","protected":false},"author":1,"featured_media":77,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"iawp_total_views":10,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-76","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-vps-guides-tutorials"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.1 (Yoast SEO v26.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>KVM VPS Performance: Steal Time, virtio vs Emulated Devices, and What You Can Tune - Virtual Servers VPS Blog<\/title>\n<meta name=\"description\" content=\"When it comes to choosing a hosting solution, understanding the nuances of various types of Virtual Private Servers (VPS) is crucial. 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