fastos/fastsocket
Fastsocket
Fastsocket is a high-performance Linux socket implementation designed for linear scalability on multicore systems. It functions as a TCP throughput optimizer and a multicore packet steering engine that reduces system call overhead and lock contention to increase total network processing capacity.
The project distinguishes itself through a network system call interceptor that uses a shared library to redirect standard socket calls to optimized interfaces without requiring changes to application binaries. It employs active connection steering by encoding CPU core IDs into source ports and utilizes a lock-bypass socket file system to prevent performance bottlenecks.
The system covers broad capability areas including high-throughput TCP proxying and Linux network stack optimization. It manages network acceleration through per-core buffer allocation, hardware-queue CPU binding, and epoll lookup acceleration to minimize latency and cross-core communication.
Features
- High-Throughput TCP/IP Implementations - Implements a high-performance socket layer designed to maximize TCP throughput and reduce system call overhead.
- Multicore Steering Engines - Distributes incoming and outgoing traffic across CPU cores using hardware and software mechanisms to maximize utilization.
- Custom Socket Implementations - Provides a high-performance replacement for the Linux kernel network stack designed for linear scalability.
- Connection Locality Encoding - Encodes the originating CPU core ID into the connection source port to automate packet delivery.
- TCP Throughput Optimizers - Reduces system call overhead and lock contention to increase total network processing capacity.
- Packet Redirection - Directs network packets to the specific CPU core where the application resides to minimize latency.
- CPU-Core Connection Affinity - Maps listen sockets and incoming connections to specific CPU cores to eliminate cross-core contention.
- Socket Sharding - Distributes listen sockets across CPU cores by intercepting event loop registration for linear scalability.
- Direct-to-Core Delivery - Implements high-performance packet delivery that routes incoming traffic directly to the waiting CPU core to minimize latency.
- Packet Steering - Routes incoming packets directly to the CPU core handling the connection to minimize cross-core latency.
- Port-Encoded Steering - Encodes the creating CPU core ID into the source port of active connections to deliver packets to the correct core.
- Network Call Interceptors - Redirects standard socket calls to optimized interfaces without requiring changes to application binaries.
- Contention-Minimizing Locking Strategies - Bypasses standard inode and dcache locks in the socket file system to prevent multicore performance bottlenecks.
- System-Call Interception - Redirects standard socket calls via a shared library to replace kernel behavior without modifying application binaries.
- Linux Network Optimizations - Improves the performance of the Linux kernel networking layer by reducing lock contention and memory overhead.
- Epoll Mapping Caches - Accelerates epoll lookups by caching mappings between files and items to avoid expensive tree traversals.
- Network Interrupt Optimizers - Optimizes the network interface by adjusting hardware queue affinity and interrupt throttle rates.
- TCP Proxies - Forwards network traffic between clients and backend servers with minimal latency using optimized sockets.
- CPU Affinity Binding - Maps network interface hardware queues to specific CPU cores to distribute interrupt processing.
- Distributed Socket Tables - Spreads listen socket registrations across multiple CPU cores to eliminate contention on a single global lock.
- Epoll Lookup Caches - Implements a cache for epoll mappings to avoid expensive tree traversals during event loop operations.
- Per-Core Memory Pools - Uses pre-allocated memory pools local to each CPU core to avoid global kernel slab allocation overhead.
- Per-Core Buffer Pools - Uses per-core pre-allocated buffer pools instead of standard kernel slabs to reduce memory allocation overhead.
- Lock-Bypass Filesystems - Circumvents standard inode and dcache locks during socket operations to prevent multicore bottlenecks.
- Multicore Workload Distribution - Binds individual worker processes to specific CPU cores to distribute connection handling across multicore hardware.
