Your Cloud in a Binary

☕ A Distributed Task Scheduling System is a software infrastructure that allows for the distribution and execution of tasks across multiple nodes in a network. It enhances the efficiency and scalability of large-scale computation and data processing tasks by dividing complex tasks into smaller sub-tasks and distributing them.

In this repository, networked control of PI-based controllers for an islanded microgrid has been simulated.

Mediasoup cluster

An IoT system tools with remote control rest-api and automation

https://dev.to/siddhantkcode/how-to-set-up-a-mysql-master-slave-replication-in-docker-4n0a

Implementation of Deep Reinforcement Learning

basic implementation of distributed computing using Python's socket programming. It showcases how a master node can distribute tasks to multiple slave nodes and aggregate the computed results. This example is intended for educational purposes to understand the fundamentals of network programming and distributed computing architectures.

主从选举包，支持mysql, redis等...

Individual Contributions to my team's CPEN 391 final project. I developed the video frame capture system for the D8M, created Avalon slaves for hardware-software interfacing and the DCT hardware accelerator

A distributed map reduce environment with Master-Slave architecture

Java/Scala based testing cluster w/ Akka framework.

Run Hadoop Custer (version 3.3.6) within Docker Containers

A Web-based Restaurant Billing System App which uses Client-Server Architecture & REST API

Temperature Control System with multiple ESP8266 (master - slave communication method). Utilizes multiple slave(s), and PID control algorithm. to Achieve precise temperature regulation and monitoring.

🖥️ The use of the term "slave" in programming languages and computer hardware.

Master-Slave / Worker-Supervisor Architecture Implemented using Open MPI in C++