Assume exactly two operating-system processes, initially resident private memory pages of bytes each, initially distinct page frames shared by A and B. Neither unmaps, exits, forks again, or encounters page replacement; no other owner exists, allocation succeeds, and a first write copies one whole shared memory page. Once a page frame is exclusively owned it is reused on writes, without another copy; writable mappings remain writable. Count data storage only, excluding page tables and other bookkeeping. With B as the only writer, writing distinct memory pages gives
This depends on distinct written memory pages, not the number of store instructions or reads. For the diagrams, take and an illustrative bytes:
Access patternNew page framesWhole-page copiesResident data bytes
Both only read0012288
B writes memory page 0x12 once1116384
B writes memory page 0x12 one hundred times1116384
B writes memory pages 0x12 and 0x142220480
B writes all three memory pages3324576
B then A each write memory page 0x121116384
For both writers, let be the sets of initial memory page numbers written by A and B. Under these assumptions, new allocations and copies both equal , the cardinality of their set union, while resident data storage is . Each initially shared page frame needs at most one split: after the first writer copies it, the other owns the original exclusively. Both writing the same memory page therefore produces two versions with one copy, even if the final values happen to match. The last row can incur two protection page faults, one for each writer, while making only one copy. A handler that always allocates on a protected write can make a second copy and free the now-unreferenced original: allocation counts and final resident storage are different observables.
These are model counts, not measured Linux costs or a guaranteed bound on total computer memory. More descendants, other owners, demand paging, page replacement, different memory page sizes, and different exclusive-ownership rules change the accounting. The useful claim is conditional: deferred data copying can cost in proportion to the distinct shared memory pages that are written, while creating separate page tables has its own cost.
// Target: computer-science.bigb

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