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.
- 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.
- 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.
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Clone the repository:
git clone https://github.com/yataknemogy/DistributeX.git -
Install the necessary dependencies:
go mod download -
Start the system by launching the Task Manager:
go run cmd/taskmanager/main.go -
Launch the Task Execution Nodes:
go run cmd/executionnode/main.go
Please see the CONTRIBUTING.md file for guidelines on how to contribute to this project.
This project is licensed under the MIT License - see the LICENSE file for details.