Database Concurrency Control: Principles and Locking

Database Concurrency Control: Core Concepts

In a Database Management System (DBMS), allowing transactions to run concurrently offers significant advantages, such as better system resource utilization and higher throughput. However, it is crucial that these transactions do not conflict. The ultimate goal is to ensure database consistency and accuracy. For instance, if two users try to book the last available seat on a flight at the same time, the system must ensure that only one booking succeeds.

Concurrency

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Sensor & Measurement System Fundamentals

Classification of Measurement Errors & Analysis

Types of Errors

  • Systematic Errors: Predictable and consistent errors caused by factors such as calibration, environmental conditions, or instrument limitations.
    • Examples: Zero errors, scale errors, and environmental effects.
  • Random Errors: Unpredictable errors caused by unknown or uncontrollable factors.
    • Examples: Noise and fluctuations in the measurement process.
  • Gross Errors: Human mistakes during measurement or data recording.

Error Analysis

  • Absolute
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