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Intermediate Time: 2–3 weeks Computer Science

Memory Management Simulator

Build an interactive memory management simulator demonstrating paging, segmentation, page replacement algorithms, and TLB simulation.

OSMemoryPagingSegmentationPage ReplacementVirtual Memory
DifficultyIntermediate
Duration2–3 weeks
Components10 items
Steps2 steps

Introduction

Build an interactive memory management simulator demonstrating paging, segmentation, page replacement algorithms, and TLB simulation. This comprehensive guide covers everything from design through implementation, testing, and deployment.

Theory & Background

Simulate a 32-bit virtual address space with 4KB pages: 2^20 pages possible. Physical memory: 64 page frames (256KB). Page table: maps virtual page number → physical frame number. Address translation: virtual_address = VPN × 4096 + offset. TLB (Translation Lookaside Buffer): cache of 16 most recent VPN→frame mappings. TLB hit: 0 cycles overhead. TLB miss: page table walk = 1 memory access overhead. Page fault: page not in physical memory = OS intervention required.

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Components & Requirements

10 components required for this project.

#ComponentPurposeQty
1Python 3.10+Simulation enginex1
2React (frontend)Visual memory layout displayx1
3Canvas APIMemory map visualizationx1
4FastAPISimulation backendx1
5pytestAlgorithm testingx1
6MatplotlibPage fault rate plotsx1
7SQLiteSimulation trace storagex1
8JupyterInteractive algorithm explorationx1
9DockerDeploymentx1
10TypeScriptFrontend type safetyx1

Step-by-Step Implementation

Follow these 2 steps carefully.

1
Virtual Memory and Paging Simulation

Simulate a 32-bit virtual address space with 4KB pages: 2^20 pages possible. Physical memory: 64 page frames (256KB). Page table: maps virtual page number → physical frame number. Address translation: virtual_address = VPN × 4096 + offset. TLB (Translation Lookaside Buffer): cache of 16 most recent VPN→frame mappings. TLB hit: 0 cycles overhead. TLB miss: page table walk = 1 memory access overhead. Page fault: page not in physical memory = OS intervention required.

2
Page Replacement Algorithms

When physical memory is full and a new page must be loaded: evict a page using a replacement algorithm. FIFO (First In, First Out): evict oldest loaded page — suffers Belady

Code & Implementation

Core code for memory_sim.py:

memory_sim.py Python

Testing & Troubleshooting

Test Memory Management Simulator by verifying each subsystem individually before full integration.

!
Troubleshooting Tips

Verify power voltages, check ground connections, use serial monitor for debug.

Real-World Applications

*Operating system education tool
*Memory leak visualization
*Cache hierarchy simulation
*NUMA architecture modeling
*Garbage collector algorithm analysis
*Embedded system memory optimizer
*Hypervisor memory management study
*Real-time OS memory planning

Extensions & Next Steps

  • Implement copy-on-write memory sharing simulation
  • Add huge page support (2MB, 1GB pages)
  • Simulate NUMA memory access latency differences
  • Implement memory compression simulation
  • Add swap space simulation with realistic I/O latency

Interactive Playground

Coming Soon

An interactive simulator will be available here — simulate circuits and run code in-browser without hardware.

Frequently Asked Questions

Why do operating systems use paging instead of just using physical addresses directly?
Direct physical addressing would require: all programs to know their actual physical addresses (not possible before loading), no memory isolation between processes (buggy process can corrupt others), no memory sharing (efficient code sharing impossible), memory fragmentation making allocation difficult, and no virtual memory (programs limited to physical RAM). Paging solves all: each process has its own virtual address space, isolation via separate page tables, efficient sharing by mapping same physical frame into multiple page tables, and transparent demand paging for virtual memory exceeding physical RAM.
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