Load Balancer

Overview

This project is a version of proxy-worker architecture I set up for my internship at Omega Therapeutics to simulate dynamic load balancing of servers. The core flow is as follows: Proxy routes Client requests -> Backend worker processess using Omega's internal RPC over sockets. This mini infra-structure resembles the one I built during the internship.

Project Structure

load_balancer_project/
├── config.py
├── rpc.py
├── load_balancer.py
├── worker.py
├── proxy.py
├── metrics.py
├── benchmark_driver.py
├── simulation.py
├── tests/
│   ├── __init__.py
│   ├── test_load_balancer.py  (placeholder)
│   └── test_integration.py    (placeholder)
└── results/    

Features

• Accepts incoming client requests via local TCP port.
• Chooses a worker using the active load-balancing strategy.
• Routes request to selected worker and awaits response.
• Logs decision latency and routing outcome.

Outputs

• Routing decisions with timing data.
• Benchmark results (throughput, tail latency).
• Per-request logs and load distribution summary.