Cache eviction policies determine which data to remove from a cache when it reaches its capacity, ensuring efficient cache utilization and system performance. These policies, such as LRU, FIFO, and LFU, balance between hit rate and resource constraints based on access patterns and data usage frequency.

Cache Eviction Policies

Cache eviction policies

Data removal from a cache

Cache capacity

efficient cache utilization

System performance refers to the effectiveness and efficiency with which a system operates, often evaluated through metrics such as speed, reliability, and resource utilization. Optimizing system performance involves balancing these metrics to meet user requirements and operational goals while minimizing costs and maximizing productivity.

system performance

FIFO

Hit rate is a performance metric that measures the effectiveness of a system or process by calculating the ratio of successful outcomes to the total number of attempts. It is widely used in fields like finance, marketing, and computer science to evaluate efficiency and optimize strategies.

hit rate

Resource constraints refer to the limitations on the availability of inputs necessary to achieve desired outcomes, impacting efficiency and decision-making in various fields. Understanding and managing these constraints is crucial for optimizing resource allocation and achieving sustainable growth and development.

resource constraints

Access patterns describe the ways in which data is retrieved and manipulated in a system, influencing the design and optimization of databases and storage solutions. Understanding access patterns is crucial for improving performance, scalability, and cost-effectiveness of data-intensive applications.

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