Package microbatch groups tasks into small batches, e.g. to reduce the number of round trips.

task scheduling simulator with scientific workflows

This is a project I created for my Parallel Programming course. It explores 4 ways that someone can use to parallelize the workflow of a non-distributed workload.

Determining common tasks which is outsourcable among multiple agents.

A bindings library for datetime-based task scheduling on Linux and Mac OS.

Queuex simplifies managing tasks in sequence, making it easy to handle various operations one after another. Whether you're processing data or handling requests, Queuex ensures tasks are organized and executed efficiently, streamlining your workflow.

Determining maximum outsourcable tasks maintaining sequence order.

RESTful API development, API resources for response formatting, authentication with Laravel Sanctum, authorization using Gates and Policies, task scheduling and queues, notifications and email sending | Laravel v10.48.22 (PHP v8.3.8). Postman.

A task queue service for Rust

Api for finding and managing workouts

NanoTask is a lightweight task scheduling library for efficient task management and execution at specified intervals.

Implementations of scheduling algorithms with deadlines and job assignments using various approaches.

A simple web-based task management tool built with Flask and front-end technologies. Features include adding, viewing, marking as done, deleting tasks, and filtering tasks by title or date. This project demonstrates a practical use of Flask for backend operations and vanilla JavaScript for dynamic front-end interactions.

Task scheduling algorithms

Laravel is a popular open-source PHP web application framework known for its elegant syntax, robust features, and developer-friendly tools. It was created by Taylor Otwell and first released in 2011. Laravel is designed to simplify and expedite the development of web applications, making it an excellent choice for building various types of projects

[ScalCom'22] TESCO: Multiple Simulations based AI-augmented Fog computing for QoS Optimization

An implementation of a scheduler for managing consumer workloads using rdkafka

Efficient, flexible parallel task execution in C++ using std::jthread. ThreadPool simplifies thread management and offers priority-based task scheduling with Deque or PriorityQueue.

A Python-based task scheduling app that uses AI methods to optimize random task assignments to nodes

Implemented Rate Monotonic (RM) and First-Come, First-Served (FCFS) scheduling algorithms with a simulation of real-time task execution using FreeRTOS