Search Results for "memory usage"

LaravelS is an out-of-the-box adapter between Laravel/Lumen and Swoole. LaravelS uses Swoole's Synchronous IO mode, the larger the worker_num setting, the better the concurrency performance, but it will cause more memory usage and process switching overhead. If one request takes 100ms, in order to provide 1000QPS concurrency, at least 100 Worker processes need to be configured. Create WebSocket Handler class, and implement interface WebSocketHandlerInterface. The instant is automatically instantiated when start, you do not need to manually create it.

Cowboy is a small, fast, modern HTTP server for Erlang and OTP applications. It provides a complete HTTP stack while keeping the codebase compact and optimized for low latency and low memory usage. Cowboy supports routing, request dispatching, HTTP handlers, REST handlers, WebSocket connections, and long-lived streaming-style interactions. Because it uses Ranch for connection management, it can be embedded directly inside larger Erlang systems rather than deployed only as a separate web server. The project is well suited for real-time systems, APIs, messaging infrastructure, telecom-style applications, and fault-tolerant services that benefit from the Erlang runtime. ...

...It comfortably handles tens of thousands of requests/sec on even midrange hardware. Here is another test about how it stacks up with others. It's not only fast, but efficient! Each connection costs nothing but a few kB of memory. RAM usage grows O(n) with connections. Written from the ground-up to be lean, the entire client/server is available as a single ~90kB JAR with zero dependencies and ~3k lines of (mostly Java) code. Synchronous is simple. Asynchronous is fast & flexible.

...It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink. aria2 can be manipulated via built-in JSON-RPC and XML-RPC interfaces. aria2 can download a file from multiple sources/protocols and tries to utilize your maximum download bandwidth. Really speeds up your download experience. aria2 doesn’t require much memory and CPU time. When disk cache is off, the physical memory usage is typically 4MiB (normal HTTP/FTP downloads) to 9MiB (BitTorrent downloads). CPU usage in BitTorrent with a download speed of 2.8MiB/sec is around 6%. aria2 supports The Metalink Download Description Format (aka Metalink v4), Metalink version 3, and Metalink/HTTP. Metalink offers the file verification, HTTP/FTP/SFTP/BitTorrent integration and various configurations for language, location, OS, etc.

...Support asynchronous OpenSSL, using hardware such as QAT for HTTPS acceleration. Enhanced operations monitoring, such as asynchronous log & rollback, DNS caching, memory usage, etc. Support server_name in Stream module. More load balancing methods, e.g., consistent hashing, and session persistence.

...Parser for web forms submitted using "application/x-www-form-urlencoded" or "multipart/form-data" encodings (including file uploads). Allow implementation of fully asynchronous handlers of incoming HTTP requests. Minimize memory usage with disk streaming of large HTTP request or response bodies. Automatically handle transitions between foreground, background and suspended modes in iOS apps. Full support for both IPv4 and IPv6.

Evolution Version 1.0.1.0 · Methode · Encrype Line · Mode Line · End Line · Query · Add Header · Replacer · Network · A & T Command · Multi Connection · Setting Proxy IDM With a nice and simple interface, a decent feature pack and easy enough to be handled by less experienced users, Evolution puts up a good performance and earns a place among the recommended tools in its category. *UPDATE 25-Januari-2014 - Bugs Fixed Version 1.0.1.0 - Change Logo And Icon - Change Name Evolution - Low Memory Usage · Don't ReUpload File [!] · Don't Mirror Link [!] · Don't Replace Name [!] · Evolution not Inject !!!

...See here: https://github.com/ziplet/ziplet A J2EE servlet filter which compresses data written to the response. It supports several algorithms (gzip, deflate, etc.) and emphasizes minimal memory usage and high throughput. Also provides detailed performance stats. Feel free to fork pjl-comp-filter on Github: https://github.com/ziplet/ziplet

TinyJEE is a zero conf, zero maintenance embeddable platform that has the major goal make the usage of JEE as easy as working with GRAILS while following a component oriented approach with minimized dependencies and main focus on POJO and Java config