Performance of Memory Management Algorithms: A Systematic Review
Abstract
Modern computer systems must have effective memory management because it affects both user experience and overall performance. The need for memory-intensive applications is growing, making the choice of the best memory management method crucial. This paper provides a thorough examination of several memory management algorithms and assesses how well they work in terms of speed, effectiveness, and resource usage. Three well-known memory management algorithms—First-Fit, Best-Fit, and Next-Fit—are the subject of our study. By taking into account a variety of real-world workloads, we create a benchmark and methodically monitor important performance metrics including throughput, fragmentation, and allocation times.
Keywords: Memory Management, Memory Management Algorithm, Memory Fragmentation, Memory Management Utilization techniques.


