Sistemas Computacionais: Uma Perspectiva para Programadores (Edição Global): Taxonomia da Concorrência: Processos, Multiplexação de Entrada/Saída e Threads

No domínio dos sistemas computacionais, concorrência em nível de aplicação é o sobreposição deliberada de fluxos lógicos de controle para melhorar o desempenho e a responsividade. É uma abstração funcional: um programa é dividido em tarefas independentes que podem ser intercaladas ou executadas em paralelo.

1. A Taxonomia da Concorrência

Os desenvolvedores geralmente escolhem entre três mecanismos fundamentais para gerenciar esses fluxos concorrentes:

Processos: Alta isolamento com espaços de endereçamento separados; exige IPC mediado pelo kernel.
Multiplexação de Entrada/Saída: Um único fluxo trocando manualmente entre eventos "prontos" (máquinas de estado).
Threads: Fluxos leves compartilhando um único espaço de endereçamento virtual para troca fácil de dados.

2. Execução Lógica versus Física

Embora todos programas paralelos são concorrentes, nem todos os programas concorrentes são paralelos. O paralelismo é a execução física de fluxos em núcleos de hardware separados. A concorrência é o design lógico que permite que essa execução ocorra.

TERMINALbash — 80x24

> Ready. Click "Run" to execute.

QUESTION 1

Which concurrency model offers the highest level of isolation between flows?

Threads

I/O Multiplexing

Processes

Coroutines

QUESTION 2

A program is 'Parallel' only if its concurrent flows...

...are managed by the kernel.

...execute simultaneously on separate processor cores.

...use shared memory for communication.

...are triggered by I/O events.

QUESTION 3

What is a primary disadvantage of I/O Multiplexing compared to Threads?

High context-switch overhead.

Inability to exploit multi-core parallelism.

Difficulty in sharing global data.

Requirement for complex IPC mechanisms.

QUESTION 4

Why do modern windowing systems use concurrency for UI responsiveness?

To ensure memory safety.

To allow the interface to respond to user input while background tasks execute.

To prevent the kernel from reaping child processes.

To bypass the need for a file descriptor table.

QUESTION 5

In the taxonomy of concurrency, which model models the application as a state machine?

Process-based

Thread-based

I/O Multiplexing

Sequential programming

Deep Dive: Concurrency Architecture & Synchronization

Analysis of Process Management and Buffer Safety

Examine the mechanics of a concurrent server using process-based concurrency and the synchronization requirements of shared buffers in producer-consumer systems.

Figure 12.5 demonstrates a concurrent server in which the parent process creates a child process to handle each new connection request. Trace the value of the reference counter for the associated file table for Figure 12.5.

Solution:
The reference counter for the connected file descriptor table entry evolves as follows:
1. Initial: The parent accepts a connection, creating connfd. Reference count = 1.
2. Fork: The parent calls fork(). The child inherits the descriptor table. Reference count = 2.
3. Parent Close: The parent calls Close(connfd). Reference count = 1.
4. Child Termination: The child handles the request and exits (or calls Close). Reference count = 0, allowing the kernel to reclaim the socket.

Let $p$ denote producers, $c$ consumers, and $n$ the buffer size. Is the mutex semaphore in sbuf_insert/sbuf_remove necessary if (Scenario 1) $p=1, c=1$ and (Scenario 2) $p=1, c=10$?

Solution:
Scenario 1 ($p=1, c=1$): In a basic circular buffer where the producer only modifies the 'rear' and the consumer only modifies the 'front', a mutex is not strictly necessary for correctness, though often used for simplicity.
Scenario 2 ($p=1, c=10$): Yes, the mutex is mandatory. Because multiple consumers are competing to update the 'front' index and decrement the item count, a race condition would occur without mutual exclusion.

If the parent process in Figure 12.5 failed to close its copy of the connected descriptor, what specific resource leak occurs?

Solution:
This results in a file descriptor leak. Even if the child process exits and closes its copy, the reference count in the kernel's file table never reaches zero because the parent (which runs forever) still holds a reference. Eventually, the server will hit its limit for open files and fail to accept new connections.