NOTE

1.10 Distributed Computing

1. What Is Distributed Computing 2. Why Distributed Computing Is Needed 3. Categories of Distributed Computing 4. Batch Processing 5. Stream Processing - Stream processing - Stream: data that gradually increases over time - An event is the smallest unit of stream processing - Each event contains a timestamp indicating its creation time - Events are produced by producers and correspond to multiple consumers.

Distributed SystemsCreated Updated 1 min readhistorical

This is a historical learning note and may contain outdated or incomplete understanding.

1. What Is Distributed Computing?

2. Why Is Distributed Computing Needed?

3. Categories of Distributed Computing

4. Batch Processing

5. Stream Processing

  • Stream processing
    • Stream: data that gradually increases over time.
  • An event is the smallest unit of stream processing.
    • Each event contains a timestamp indicating its creation time.
    • Events are produced by producers and correspond to multiple consumers.

5.1. Messaging System

  • Introduction to Message Queues.md (the related note has not yet been published).

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