Cache Eviction Vs. Cache Expiration
Below are the differences between Cache Eviction and Cache Expiration:
Aspect | Cache Eviction | Cache Expiration |
---|---|---|
Definition | Removal of items from the cache to make space for new items | Automatic invalidation of cached data after a certain period of time |
Trigger | Occurs when the cache is full and needs to free up space | Occurs when cached data reaches its expiration time |
Purpose | Manages the cache’s capacity by removing least used items | Ensures that the cache contains up-to-date information |
Strategy | Can use strategies like LRU, FIFO, LFU, or random replacement | Time-based, where data is invalidated after a specific time period |
Performance Impact | Helps maintain cache efficiency by removing stale or less relevant data | Ensures that users receive up-to-date data, but may increase load on the data source due to frequent cache refreshes |
Flexibility | Provides more control over which items are removed from the cache | Offers a simpler approach to managing cache validity |
These above differences highlight how cache eviction and cache expiration serve different purposes in managing cached data and ensuring that the cache remains efficient and up-to-date.
Cache Eviction vs. Expiration in System Design
Caching plays a pivotal role in enhancing speed and efficiency. However, effective cache management involves understanding the differences between cache eviction and expiration. While both mechanisms aim to manage cached data, they operate differently and serve distinct purposes.
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