👉 Duplicate computing refers to the phenomenon where the same computational task or data is processed multiple times, often by different systems or processes, leading to inefficiencies and increased resource consumption. This can occur due to various reasons such as redundant tasks, overlapping computations, or data duplication across different parts of a system. For example, in distributed computing environments, if multiple nodes independently perform the same calculation on the same data, it results in duplicate work. Similarly, in machine learning, training a model multiple times with the same dataset can also be seen as duplicate computing. To mitigate this issue, techniques like data partitioning, task scheduling optimization, and caching are employed to ensure that computations are performed only once and resources are used efficiently.
