What are data locality performance metrics?
Data locality performance metrics measure how efficiently data is accessed and processed based on its physical location.
Why is data locality important in distributed systems?
Data locality reduces latency and increases throughput by ensuring that data is processed close to where it is stored.
Can you give examples of metrics used to evaluate data locality?
Sure! Common metrics include data access time, data transfer rates, and the percentage of local vs. remote data accesses.
How can I improve data locality in my application?
You can improve data locality by optimizing data placement, using caching strategies, and designing your data access patterns.
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