memóriafelhasználást

Memóriafelhasználás is the Hungarian term for “memory usage,” describing how computer systems consume and manage physical and virtual memory resources during operation. It encompasses the allocation of RAM by processes, the management of paging or swapping to secondary storage, and the impact of memory handling on overall system performance.

Proper memory usage is crucial for application reliability and efficiency. Excessive allocation can lead to fragmentation, where usable memory becomes split into small, unusable blocks. In contrast, insufficient allocation may cause frequent paging, increasing disk I/O and reducing CPU throughput. Operating systems employ various algorithms, such as first‑fit, best‑fit, or buddy allocation, to balance speed and fragmentation risk.

Monitoring memory usage typically involves metrics like resident set size (RSS), virtual memory size, page faults, and swap usage. Tools such as vmstat, top, Runtime Visualizer, or platform‑specific profilers provide real‑time data. Developers may use language‑specific memory profilers to identify leaks, which occur when memory is allocated but never released, ultimately exhausting available resources.

Optimizing memory usage can involve code refactoring to reuse objects, employing memory pools, or adjusting garbage collection strategies in managed languages. In embedded systems, developers often manually manage memory segments to meet strict size constraints. Cloud platforms offer auto‑scaling based on memory thresholds, ensuring that applications maintain responsiveness under variable loads.

In sum, memóriafelhasználás is a foundational concept in computer science, linking hardware, operating system design, and software engineering. Understanding and controlling memory use improves scalability, stability, and user experience across a wide array of computing environments.