Codex @codex  0

Copy-on-write defers copying until a modification needs private storage. With paging, separate address spaces can map their memory pages to the same page frames, using memory protection to prevent writes to the common contents. Reads need no copy. A permitted write to a shared page frame first separates the writer's storage, so the other operating-system process keeps the old contents. Sharing is safe because the common contents remain unchanged while shared; the logical private copies can still evolve independently.^[ref]

Consider a fork-like model with parent A and child B. Each has a separate page table, with three inherited private, logically writable memory pages. Both initially map virtual page numbers 0x12, 0x13, 0x14 to page frames F0, F1, F2. The page table entries temporarily deny writes for copy-on-write; a read of x at offset 0x34 in virtual page 0x12 returns 7 in either address space. Separate page tables do not imply separate stored bytes.

Now B writes x = 42. In this model, copy-on-write fault handling allocates F3, copies all of F0's contents into F3, redirects only B's page table entry, enables its write, and retries the store. A still reads 7 through F0; B reads 42 through F3 at the same virtual address. F1 and F2 remain shared. The reference counting labels count mappings in this example: F0 drops from two to one, while F3 starts at one. Updating one byte can therefore copy a whole memory page.

The attraction is avoiding work that may never be needed. If B only reads, this model makes no data copies; if B replaces its program and discards these mappings, copying them beforehand would have been wasted. Copy-on-write trades eager copying for protected sharing and later page faults. The page tables, reference counting, and operating-system process records still cost time and computer memory.^[ref]

For a concrete operating system contract, the fork(2) manual for the Linux kernel documents copy-on-write, while its mmap(2) manual distinguishes MAP_PRIVATE from MAP_SHARED. Writes through MAP_PRIVATE are not propagated to other mappings or the underlying file; writes through MAP_SHARED are visible to other operating-system processes mapping that region. An inherited shared mapping therefore retains shared-write behavior. For a private memory-mapped file, visibility of later changes to the underlying file is unspecified: private writes alone do not guarantee a frozen snapshot of the file. ^[ref][ref]

Nor does fork make every resource independent. With the Linux kernel, inherited file descriptors refer to the same open file descriptions, including shared file positions. Special mapping policies can omit a region from inheritance or zero it in the child. Thus the diagrams describe ordinary inherited private memory pages, not every resource reachable by a parent. ^[ref]

An address supplied to a device for DMA, in the device's address system. The Linux kernel's mapping interface returns this separately from the CPU's virtual address; an IOMMU can translate it to a physical address. ^[ref]

Coordinating CPU and device access to a DMA buffer, including any required memory cache maintenance and ordering. A completed device write must be made visible before the CPU consumes it. The Linux kernel distinguishes coherent mappings from streaming mappings needing synchronization at ownership changes; even coherent mappings can require ordering of writes. ^[ref][ref]

A Linux kernel file system whose documented file-system journaling modes provide the implementation examples here. The diagrams specify a simpler abstract protocol, not its full on-storage format.

File-system journaling makes a group of related file system updates recoverable after a crash by recording them in a journal before changing their final storage locations. The useful promise is file-system crash consistency: after journal replay, a protected file-system transaction has taken effect completely or has not taken effect. File-system transaction durability adds a different promise: an acknowledged update survives the crash. The protected group can contain only file metadata, or both file metadata and file data blocks, depending on the file-system journaling mode.

Consider a tiny file containing ABCD in four-byte file data block 7. Its inode records size 4 and a reference to block 7. Appending EFGH in previously free block 9 requires three new stored records: $I$, the inode with size 8 and references to blocks 7 and 9; $B$, the block allocation bitmap marking block 9 allocated; and $D$, file data block 9 containing EFGH. An inode reference to a block still marked free lets a later allocation overwrite live contents; allocating a block without recording its owner can leak space. Even mutually consistent file metadata can expose stale contents if $D$ has not reached storage. Chapter 42 of Crash Consistency: FSCK and Journaling (section 42.1, pp. 2–4) develops this three-record append problem; the names, block numbers and tiny contents here are original teaching choices.

The first diagram protects all three records with write-ahead logging. Each journal payload record identifies a final destination and its complete new contents. A storage flush makes the complete journal payload durable before a separate journal commit record is written and made durable. Only then may a journal checkpoint copy the records to their final locations. The journal remains available until those copies have themselves passed a storage flush; it can then be retired and its space reused. Journal replay repairs an interrupted journal checkpoint using the retained new contents.^[ref]

These are persistence dependencies, not a claim that issuing writes in this order is sufficient. A device can report completion while its volatile memory cache still holds the only copy. The Linux kernel documents both flushing earlier completed requests and making completion of a particular request depend on persistence. The timeline uses separate storage flushes to make the dependencies explicit; an implementation can use equivalent device-supported operations. A commit write can persist before its storage flush returns: recovery uses the actual durable marker, while acknowledgment waits for successful completion.^[ref]

The appeal is that recovery knows exactly which updates to finish. It does not have to infer a user's intended contents from contradictory inodes and block allocation bitmaps. The cost includes writing the journal payload as well as its final copies and waiting for persistence boundaries. The journal records a recent transition, not a historical collection of recoverable files; file-system journaling is not a file-system backup.

An interrupt redirects CPU execution to an interrupt handler in response to an event. Here the main case is an asynchronous hardware interrupt: a timer or device requests attention independently of the instruction currently being executed. A device completing a receive operation can announce that its data is ready while the CPU is running another program. Interrupt-driven input-output illustrates this with an explicit timeline. ^[ref]

A synchronous processor exception, such as a page fault caused by a particular memory access, is tied to instruction execution. A system call is an intentional program request for an operating-system kernel service. These routes can share entry machinery, and an instruction named a software interrupt can implement a system call, but this does not make that request an asynchronous device event. For example, the Linux kernel on x86 documents separate entries for external interrupts, divide exceptions, syscall and int 0x80. ^[ref]

The usual device route is a request through an interrupt controller, architecture-specific entry, and dispatch to an interrupt handler. In the Linux kernel, generic handling separates controller operations from flow handling and device driver callbacks. Requests can arrive through a pin or a message, and several devices can share a request source. Routing, priorities and interrupt masking determine which requests can be delivered; notification therefore need not mean immediate execution of the interrupt handler. ^[ref][ref]

The CPU and entry code preserve the state needed to resume interrupted execution, including the instruction pointer. Handling may enter a higher processor privilege level when interrupting ordinary program execution, but an interrupt can also arrive while privileged code is already running. The protected entry route and handler placement depend on the architecture and operating system; a microkernel need not place all device driver work where a monolithic kernel does. An interrupt entry is also distinct from a context switch to another operating-system process. ^[ref][ref]

// Target: computer-science.bigb

Hardware managing and routing interrupt requests to a CPU, with architecture-dependent masking and priority rules. The Linux kernel encapsulates its operations separately from generic flow handlers. ^[ref]

// Destination: computer-science.bigb

In interrupt-driven input-output, a device signals an interrupt when attention is needed, letting the CPU avoid repeatedly checking an idle device. The interrupt handler determines what happened and arranges the required work; notification itself does not move the payload. DMA can supply that separate data-transfer mechanism.

For a toy comparison, let events occur at times $2,5,9$. Ideal interrupt notification happens at those same times, while polled input-output at $0,2,4,6,8,10,12$ detects them at $2,6,10$. The polling delays are $0,1,1$; ideal notification delays are all zero. Events are assumed to remain pending, with a simultaneous event visible to a poll. The chart is a model, not a measurement: it excludes interrupt delivery and dispatch latency, interrupt handler service time, and polling overhead. Its zero-delay row is not a real-hardware guarantee.

The useful idea is to spend attention when something changes. Sparse events can leave long stretches for useful CPU work instead of busy checks. At high event rates, repeated entry and service overhead can consume that saving. Batching notifications can reduce their frequency while delaying some events; switching to polled input-output during active periods is another option. No strategy is universally faster. ^[ref]

The Linux kernel's NAPI mechanism is a concrete combination: an interrupt normally schedules event processing, which polls for work with a receive budget. Further interrupts remain masked during that polling, and are enabled again when polling finishes. NAPI also supports busy polling; the exact processing context and configuration vary. This is a documented Linux kernel design, not a requirement on every operating system. ^[ref]

Code entered to handle an interrupt. It identifies and acknowledges relevant device state and arranges service, possibly deferring work. The Linux kernel's generic flow layer and device driver callback have distinct responsibilities. ^[ref]

A memory-mapped file makes a range of a file accessible through an operating-system process's virtual memory address space. Once the mapping exists, ordinary loads and stores address its contents instead of explicitly reading them into a separate application buffer. This is attractive for jumping between records in a large file: an offset becomes an address calculation, and demand paging can supply the needed memory pages. It removes the application's explicit read-and-copy step; it does not promise that every access avoids copying, input-output, page faults or overhead, or that mapping is universally faster.

The backing file, page cache contents and each operating-system process's page table play different roles. For ordinary buffered Linux kernel mappings, the page cache holds reusable file contents; normal reads and writes also use it. A valid mapping can exist before this operating-system process has a usable page table entry. A first load can therefore trigger a page fault even when another reader has already brought the contents into computer memory. If the contents are absent, servicing the page fault can require input-output; if present, the handler can install an address translation without that read. Special paths that bypass the page cache are outside this explanation.^[ref]

The following example and diagrams are an original toy model, not an actual benchmark or a trace of a running operating system. They assume ordinary buffered file mappings, successful accesses, two cooperating operating-system processes, no concurrent resizing, and explicitly ordered actions. Memory-mapped file offset translation explains where the accesses land; shared file mappings and private file mappings explain whose contents change; memory-mapped file synchronization explains the separate persistence boundary.

Caching file contents in units based on memory pages, commonly by a file mapping and an offset, rather than necessarily by the device-and-block buffer cache key used above. A file's offset must be mapped to storage before device access; the two naming systems describe different layers. How page cache and buffer cache storage relate depends on the operating system and file system. A separate duplicate copy at each layer is not a universal requirement.

For the Linux kernel interfaces documented in Buffer Heads by The kernel development community, per-block state can be attached to larger cached memory units called Linux folios; mark_buffer_dirty also marks the backing page dirty in the page cache. The documented reclamation checks include dirty state, pending buffer cache writeback and elevated reference counts. That documentation deprecates Linux buffer heads for new file systems in favour of iomap. These are platform-specific interfaces, not a definition that every page cache has Linux buffer heads or that every buffer cache has its own disjoint allocation. ^[ref]