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Answer: Graph Partitioning
The correct answer is **Graph Partitioning**. This technique is pivotal for optimizing the distribution of graph nodes across the nodes of a distributed computing cluster. It focuses on minimizing inter-node communication and ensuring load balance, which are essential for the efficient parallel processing of graph algorithms in a distributed environment. While options like Node Clustering and Node Partitioning may seem relevant, Graph Partitioning specifically targets the optimal distribution of graph nodes across cluster nodes, thereby enhancing performance and reducing communication overhead.
Author: LeetQuiz Editorial Team
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In the process of optimizing Spark performance for a machine learning project that involves graph data, which technique employs graph partitioning algorithms to enhance the distribution of graph nodes across cluster nodes?
A
Node Clustering
B
Graph Co-location
C
Graph Partitioning
D
Node Partitioning
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