DistributeX

Overview

DistributeX is a highly scalable, distributed computing platform designed to handle large-scale computation tasks across multiple nodes. The platform dynamically balances the load, optimizes task distribution, and utilizes predictive analytics to enhance performance and prevent bottlenecks.

Features

• Dynamic Load Balancing: Efficiently distributes tasks across nodes based on real-time metrics.
• Scalable Architecture: Easily scale the platform horizontally to handle increased load.
• Predictive Analytics: Uses historical data and machine learning to forecast potential bottlenecks and optimize task allocation.
• Task Scheduling: Implements advanced task scheduling algorithms to ensure high performance and low latency.
• Monitoring and Analytics: Provides detailed monitoring and analysis of system performance with real-time alerts.

Technologies Used

• Go: For building the backend services and task execution nodes.
• gRPC: For high-performance communication between microservices.
• Redis: For distributed caching of results and task states.
• Prometheus & Grafana: For monitoring system metrics and visualization.
• Kafka: For handling real-time data streams and task queues.

Getting Started

1. Clone the repository:

   git clone https://github.com/yataknemogy/DistributeX.git
   

2. Install the necessary dependencies:

   go mod download
   

3. Start the system by launching the Task Manager:

    go run cmd/taskmanager/main.go
   

4. Launch the Task Execution Nodes:

    go run cmd/executionnode/main.go
   

Contrubuting

Please see the CONTRIBUTING.md file for guidelines on how to contribute to this project.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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