Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
AI TechDocKnowledge

Glossary · Data, timing and communication

Buffering

In systems engineering, buffering is the temporary storage of data or events before they are processed or transmitted. A buffer decouples producers and consumers that work at different rates or are briefly unavailable.

  • Data and interfaces
  • Integrated systems

In one sentence

Buffering holds data or events temporarily between systems; buffer size, overflow and age rules decide whether buffered data can still be trusted.

Example

An AGV stores position and battery events in a local buffer while it passes through a Wi-Fi dead zone and sends them to the fleet manager once it reconnects.

How it applies

  • Integrated systems: Define the buffer size, what happens on overflow (drop the oldest entries, drop the newest, or block the producer) and the order in which buffered data is delivered.
  • Functional safety: Buffered data arrives late. A consumer that acts on it must check its timestamp and treat data older than the allowed age as stale data. Buffers also add variable delay, which counts against the response time of any function that relies on the data.
  • Evidence: Buffer overflows lose data silently unless they are logged. Make overflow counters part of the diagnostics, and of the audit trail where records must be complete.

Buffering vs. store-and-forward

Buffering is short-term, often in memory, and smooths differences in rate. Store-and-forward is a communication method that deliberately keeps data until the next system can receive it, often across longer outages.

By knowledge.aitechdoc.world · Published September 25, 2026 · Last reviewed

Source: AI TechDoc Blog editorial definition, based on systems engineering practice

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Blog and are not part of any standard.

Seen a mistake? Send us a note!