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Calcrivo

Buffer Cache Calculator

Estimate buffer cache size used for block device I/O buffering on Linux systems.

Inputs

Buffer Cache (MB)

300

Dirty Page Status

Dirty pages well below the flush threshold — writeback is keeping up comfortably.

Dirty Page Flush Threshold (MB)

3,277

Dirty Pages as % of Threshold

1.22%

Dirty Pages as % of RAM

0.24%

Writeback (MB, currently flushing)

5

Step by step

  1. Values used

    Buffers (MB, from /proc/meminfo) = 300; Dirty (MB, unwritten pages) = 40; Writeback (MB, currently being flushed) = 5; vm.dirty_ratio (%) = 20; MemTotal (MB) = 16,384

  2. Dirty page flush threshold

    dirty_threshold = MemTotal × vm.dirty_ratio%

  3. Buffer Cache (MB)

    = 300

  4. Dirty Page Status

    = Dirty pages well below the flush threshold — writeback is keeping up comfortably.

  5. Dirty Page Flush Threshold (MB)

    = 3,277

  6. Dirty Pages as % of Threshold

    = 1.22

  7. Dirty Pages as % of RAM

    = 0.24

  8. Writeback (MB, currently flushing)

    = 5

How it works

Buffer cache (the Buffers field in /proc/meminfo) holds metadata-level block I/O buffers, distinct from the file-content page cache (Cached). Dirty pages are modified data waiting to be flushed to disk; the kernel starts background writeback once dirty memory crosses vm.dirty_background_ratio, and — if writeback can't keep pace — throttles writing processes once dirty memory reaches the harder vm.dirty_ratio threshold, which can cause visible application stalls on write-heavy workloads.

Formula

Dirty page flush threshold

dirty_threshold = MemTotal × vm.dirty_ratio%

T
MemTotal
r
vm.dirty_ratio fraction

Frequently Asked Questions

What's the difference between vm.dirty_background_ratio and vm.dirty_ratio?

dirty_background_ratio (default 10%) is a soft threshold that starts asynchronous background flushing without blocking applications. dirty_ratio (default 20%) is a hard threshold — if dirty memory reaches it, the process actually writing data is forced to block synchronously until enough is flushed, directly impacting application latency.

Why would I lower vm.dirty_ratio?

On systems with large RAM and slower storage, a high dirty_ratio can let gigabytes of unwritten data accumulate before flushing starts in earnest, risking a large burst of I/O (and potential data loss on power failure) all at once. Lowering it trades some write throughput for smoother, more predictable writeback behavior.

Are Buffers and Dirty the same thing?

No — Buffers tracks block-device metadata buffering in general, while Dirty specifically tracks pages (from any cache) that have been modified in memory but not yet written to disk. A page can be part of Cached and also counted in Dirty if it's been modified since being read.

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