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Raju Ginni

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You are here: Home / Linux sysadmin tutorials linux system administrator / VIrtual Memory vs RSS Memory vs Shared memory in Linux

VIrtual Memory vs RSS Memory vs Shared memory in Linux

 

Summary: RSS is physical memory, vitrual memory it includes Swap from Disk so its bigger than RSS, Shared all Process using same memory so its also bigger than RSS Memory.

example:

total-vm:1968856kB, anon-rss:1137064kB, file-rss:0kB, shmem-rss:0kB,

4 gb ram or 3.8gb ram total physical

rs = 1137MB or 1GB

1968.856MB or 2GB

so oomkiller invoked to kill mysql because of out of memory.

vm vs rss vs shmem

  • Resident Set Size (RSS)
  • Virtual Memory Size (VSZ)
  • Shared memory SHM

rss vs vm vs shared memory in linux

Table of Contents

Toggle
    • 2.1. Resident Set Size
  • Virtual Memory Size (VSZ)
  • Shred memory

2.1. Resident Set Size

This is a measure of how much memory a process is consuming in our physical RAM, to load all of its pages after its execution.

RSS is not an accurate measure of the total memory processes are consuming, because it does not include memory consumed by libraries that were swapped out. On the other hand, the same shared libraries may be duplicated and counted in different processes. However, RSS is a reliable estimate.

 

Virtual Memory Size (VSZ)

This includes swapped memory ram +disk swap

 

 

portion | actually in memory | total (allocated) size |
|-------------+-------------------------+------------------------|
| binary | 400K | 500K |
| shared libs | 1000K | 2500K |
| stack+heap | 100K | 200K |
|-------------+-------------------------+------------------------|
| | RSS (Resident Set Size) | VSZ (Virtual Set Size) |
|-------------+-------------------------+------------------------|
| | 1500K | 3200K

 

Shred memory

A shared memory is an extra piece of memory that is attached to some address spaces for their owners to use. As a result, all of these processes share the same memory segment and have access to it.

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hi i am raju ginni, primalry i manage wordpress websites on GCP cloud platform as a cloud engineer, and create content on passionate things.
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