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How does copy-on-write affect demand paging?.

Copy-on-Write (COW) is an optimization strategy used in memory management, particularly in the context of demand paging. It allows multiple processes to share the same pages of memory until one of them tries to modify a page. Here’s how COW affects demand paging:

  1. Efficient Memory Use: When a process forks, instead of creating a complete duplicate of the parent’s memory space, COW allows both processes to share the same physical pages initially. This saves memory since no additional copies are made until a write occurs.

  2. Lazy Copying: With COW, the actual copying of pages is deferred until a write operation occurs. When a process attempts to write to a shared page, the operating system intervenes and creates a copy of that page for the writing process while leaving the original intact for other processes still using it.

  3. Reduced Page Faults: In scenarios where multiple processes only read data from shared pages, there may be fewer page faults overall because only one copy exists until modification is required. This can lead to better performance due to reduced overhead on paging operations.

  4. Handling Writes: When a write attempt triggers COW:

    • A page fault occurs since the shared page is marked as read-only.
    • The OS allocates new physical memory for the writing process.
    • The contents of the original page are copied to this new memory location.
    • The writing process’s page table entry is updated to point to this new copy.
  5. Overhead Management: While COW can reduce overhead by minimizing unnecessary copying during initial sharing, there is still some overhead associated with managing these shared pages and handling page faults when writes occur.

In summary, copy-on-write enhances demand paging by allowing efficient sharing of resources among processes while delaying unnecessary duplication until modifications are needed. This results in better memory utilization and potentially improved performance under certain workloads.


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