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An object whose contents and attributes can be accessed through operating system interfaces. Here an ordinary file means a byte sequence with file metadata, distinct from a file-system directory or a symbolic link. Its contents need not disappear when the creating operating-system process ends.

A context switch transfers CPU execution from one operating-system process or software thread to another while preserving enough execution context for the suspended task to resume. The operating-system kernel saves the outgoing task's processor registers, including its resume program counter and stack pointer, and restores the incoming task's saved state. Hardware entry and software switching divide this work differently across architectures; the diagram groups them into logical save and load steps. During the transition the same CPU executes the operating-system kernel's scheduler and switching code. ^[ref]

For a schematic switch from A to B, let A's resume program counter be $p_A$, its stack pointer $u_A$, and one illustrative data processor register contain 7. B's saved values are $p_B,u_B,42$. Saving A retains $(p_A,u_A,7)$ in A's execution context; loading B establishes $(p_B,u_B,42)$ before B resumes. These are selected fields, not a complete architecture-specific execution context. Later restoring A recovers its 7 even though B has used the same physical processor register for 42.

The useful invariant is that each suspended task retains its own resume state, so another task's use of the processor registers does not erase it. This is what makes repeated turns under round-robin scheduling possible. Saving an execution context does not copy the entire address space. Switching between software threads of one operating-system process can retain the same address space; switching between operating-system processes with different address spaces may also require changing the memory management unit's translation context, such as the active page table and associated address space identifier, depending on the architecture. Their contents remain in computer memory. ^[ref]

Entering the operating-system kernel through an interrupt, synchronous processor exception or system call does not automatically imply a context switch to another task. The handler may return to the same task; process scheduling determines whether another runnable task should take over. A context switch consumes time, and a changed memory cache or translation lookaside buffer working environment can add subsequent costs. Those costs are excluded from the toy process scheduling timelines, which are calculations rather than operating system benchmarks. ^[ref][ref]

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]

The operating-system kernel must distinguish a temporarily protected copy-on-write mapping from one whose writes are forbidden. The teaching procedure in MIT's xv6 lab protects both page tables, copies the shared page frame on a valid write page fault, and installs a writable page table entry. Originally read-only code remains read-only. Its reference counting increments on sharing and decrements on removal; storage is freed only after the last reference disappears. The lab also requires kernel writes into user storage to respect copy-on-write, and specifies failure if no free storage remains. ^[ref]

Every write must respect the sharing policy, but every write need not copy. Repeated writes to B's already private writable F3 need no further copy-on-write page fault. If A later writes F0, an implementation can reuse F0 when it establishes exclusive, writable ownership; A's remaining read-only page table entry may still need a page fault to enable the write. This exclusive-reuse rule is an assumption of copy-on-write page accounting below, not a promise that every operating system uses that path. A count of one alone is not a universal permission to alter storage belonging to a memory-mapped file or another owner.

Changing mappings or permissions must also make cached address translations consistent. ^[ref] Concurrent software threads require synchronization around ownership checks, copying, and installation to prevent a race condition; neither diagrams nor counts specify a production operating-system kernel's locking or hardware invalidation protocol.

Software supplying device-specific operations behind an operating system interface. For these examples its responsibilities include DMA setup and completion handling, or checking status for polled input-output. ^[ref]

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

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]

The operating-system kernel is the core of an operating system, controlling access to resources and supplying mechanisms used by operating-system processes. Processor privilege levels let it enforce boundaries that ordinary programs cannot simply overwrite. The operating-system kernel connects process scheduling, virtual memory and file system operations; a system call requests a service across that boundary. A monolithic kernel and a microkernel divide services differently, so the location of every file system service is a design choice.

For the toy file system, opening a resolves its directory entry to inode 42, establishes an open file description, and returns file descriptor 3. Later reads use that file descriptor to reach the existing open file description, without resolving the spelling a again. This explains how unlinking an open file preserves access: the open reference survives the directory entry. The per-operating-system process table interpreting 3 is maintained by the operating-system kernel; 3 itself is the small integer passed by the program, not inode 42. ^[ref]

A concrete operating-system kernel whose documented file system interface distinguishes a name-associated dentry, an object-associated inode, and a file object created for an open instance. An inode can have several name-associated objects. This illustrates the distinction among directory entries, inodes and open file descriptions; it does not imply identical structures in every operating system. ^[ref]

// Target: computer-science.bigb

The hardware that performs address translation and access checks. Whether a TLB miss is resolved entirely by hardware or with operating system assistance depends on the architecture.

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.

An operating system manages the resources that let programs run and cooperate. Operating-system processes organize running work, virtual memory supplies protected address spaces, and a file system supplies named files that can outlive the operating-system process that created them. The operating-system kernel enforces the core mechanisms; system calls let programs request its services. Separating these responsibilities makes it possible to share a file while keeping the participating operating-system processes' address spaces isolated. ^[ref]

A concrete example makes the separation useful: two operating-system processes can each use file descriptor 3, yet refer to different files; two different names can instead refer to the same file through hard links. Neither a name nor a small integer identifies an object without its context. Virtual memory has a related distinction: the same virtual address in different address spaces can designate different physical addresses.

Unix provides an influential example of this design. In their July 1974 paper, Dennis M. Ritchie and Ken Thompson date its earliest version to approximately 1969–70 and describe operating-system processes, a hierarchical file system, and inodes separating directory entries from file metadata. This is a documented historical example, rather than a claim that every operating system uses Unix conventions. ^[ref]

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]