How does WebSocket API impact performance or memory usage?

The WebSocket API significantly enhances performance by enabling real-time, two-way communication between clients and servers. It efficiently keeps connections open, reducing latency and improving memory usage compared to traditional HTTP requests.
WebSocket API, performance, memory usage, real-time communication, two-way communication, latency
// Example of a WebSocket server implementation in PHP using Ratchet use Ratchet\MessageComponentInterface; use Ratchet\ConnectionInterface; class Chat implements MessageComponentInterface { protected $clients; public function __construct() { $this->clients = new \SplObjectStorage; } public function onOpen(ConnectionInterface $conn) { $this->clients->attach($conn); } public function onMessage(ConnectionInterface $from, $msg) { foreach ($this->clients as $client) { if ($from !== $client) { $client->send($msg); } } } public function onClose(ConnectionInterface $conn) { $this->clients->detach($conn); } public function onError(ConnectionInterface $conn, \Exception $e) { $conn->close(); } }

WebSocket API performance memory usage real-time communication two-way communication latency

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?