load-balancing-algorithm

Multi-path load balancing is a method used by most of the real-time network to split the packets into different paths rather than transferring it through a single path

A Performance Comparison of Load Balancing Algorithms on a Simulated Cloud.

concurrent load balancers, go lib,

Aggregated Highest Random Weight Hashing / Aggregated Rendezvous Hashing

A compilation of codes for SMA, DC, ADS

Go语言实现负载均衡器

Simple weighted round robin implementation using Redis sorted set and list

⚡️ weighted round-robin load balancing algorithm library for Go

A dynamic load balancer with horizontal scaling.

A multi-core scheduling simulator implementing dynamic load balancing and thread-safe task queue management using concurrent queue algorithms.

Simple Parallel Erosion Code (dummy)

A comprehensive lab implementation of a segmented enterprise network using pfSense and CentOS. Features include Zero Trust firewalling (LAN/DMZ/Client zones), transparent Squid proxy filtering with bandwidth limiters, Nginx Layer 7 Weighted Round-Robin load balancing, and automated disaster recovery via custom Bash/Rsync scripting.

Load-balancing algos implementation.

Load balancer with nginx algorithm Least Connections – A request is sent to the server with the least number of active connections, again with server weights taken into consideration

Latency-based load balancing for Tailscale distributed networks.

Interactive system design simulator in the browser. Drag load balancers, caches, databases, queues and VPCs onto a canvas and run a real queueing-theory simulation (M/M/c, Erlang-C) to find bottlenecks and single points of failure. Zero backend — great for system design interview prep.

Load balancer with nginx algorithm Round Robin – Requests are distributed evenly across the servers, with server weights taken into consideration. This method is used by default (there is no directive for enabling it)

Priority-aware load balancing, resource allocation and failure recovery for replicated database services.