What is data locality and why is it important for performance?
Data locality refers to the proximity of data to the processing unit. It's crucial because accessing data stored close to the CPU reduces latency and increases speed.
Can you explain how data locality impacts distributed systems?
In distributed systems, data locality minimizes the need for data transfer over the network, which can significantly enhance performance and reduce bottlenecks.
What are some strategies to improve data locality?
Strategies include data partitioning, caching frequently accessed data, and using data replication to keep copies closer to where they are needed.
Are there any trade-offs to consider when optimizing for data locality?
Yes, optimizing for data locality can lead to increased complexity in data management and may require more resources for data replication.
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