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z&08!G_zv@CH@=1()FufA!3R{sMp8|;cjJNdT^GF3@Rx%WNS~c&1Pcj@Nmu0_K!LP( zr#&KmAT^@~^@84V8A>u*@vCt6fEd8GNc!75va$+6Of%)fFqOr^Z zhhGwV@CKMu@s2V+4?T<2Pf)lq3+2W)xS8H2cZXba36#dvd=Cp=J_Yp`GUP4_#tUjL z4!bNlzdxvPyu>*N+epC W=!t9A4C^ECM@CXn; ---> - -## Author - -[Aaditya Singh](https://github.com/aadsingh) - -## Contact info - -- [Email](mailto:email.here) -- [LinkedIn](https://linkedin.com/in/my-user) - -## Project title - -Scheduler overhaul - -## What's the project about? - -Insert Text Here - -## What should be done? - -What are the plans for the project? +--- +sidebar_position: 1 +title: Introduction +slug: /2024/scheduler/ +--- + + +## Author + +[Aaditya Singh](https://github.com/Aaditya-Singh78) + +## Contact info + +- [Email](mailto:singh.aaditya889@gmail.com) +- [LinkedIn](https://linkedin.com/in/aadi-singh) +- [Twitter](https://twitter.com/__Aadityasingh) + +## Project title + +Scheduler overhaul + +## What's the project about? + +This project aims to enhance the job scheduling capabilities of [FOSSology](https://github.com/fossology/fossology) by transitioning from a C-based implementation to a Go-based system. The overhaul focuses on leveraging Go's modern language features to improve concurrency, performance, and maintainability. This transition addresses the scalability and system *throughput* challenges in the current scheduler. + + +### Architecture Overview +![C-architecture](./asset/c_arch.jpg) + +**The Current architecture** utilises the a multi-threaded approach to manage job scheduling & execution.It is structured around several key *components*: + +1. **Main Thread**: Acts as the scheduler's control unit, managing worker threads and overseeing system operations like resource allocation and health monitoring. + +2. **Job Execution Queue**: Holds and manages incoming job requests, facilitating efficient job processing and priority control. + +3. **Worker Threads**: Executes jobs from the queue under the main thread’s management, optimizing resource use and performance. + +4. **Scheduler Logic**: Determines the execution order of jobs based on priority and resource availability, ensuring systematic and efficient processing. + +5. **Database Interaction**: Handles storage of job logs and results, supporting tracking, auditing, and data persistence. + +6. **Error Handling Mechanism**: Manages job execution errors to ensure stability and prevent system-wide impacts from failures. + +7. **Resource Allocation**: Distributes resources across jobs and threads to avoid contention and ensure efficient execution. + +**Key Challenges**: + +1. *Concurrency and Synchronization*: Ensuring that multiple worker threads operate without interfering with each other requires meticulous management of resources and synchronization. + +2. *Efficiency and Throughput*: The system must optimize the processing of jobs to minimize wait times and maximize the throughput of the scheduler. + +3. *Scalability*: As the number of jobs increases, the system must scale appropriately to handle the increased load without degradation in performance. + +4. *Flexibility*: Adapting to varied job types and changing operational conditions while maintaining performance and reliability. + +## What should be done? + +What are the plans for the project? + +1. **Refactor Existing Code**: Transitioning the existing C codebase to Go, restructuring components to fit the Go idiom. + + > **Why Go?** + + - *Concurrency and Performance*: Go's native goroutine and channel-based concurrency model is highly efficient for processes that require concurrent execution, which is critical for job scheduling. + + - *Memory Safety*: Automatic memory management and garbage collection in Go reduce the risk of memory-related errors, a common challenge in C due to its manual memory handling. + + - *Simplicity and Productivity*: Go's clean and concise syntax, along with its powerful standard library, enables rapid development and easier maintenance compared to the verbose and complex C code. + + - *Robust Tooling*: The Go toolchain provides out-of-the-box support for testing, formatting, and documentation, enhancing development workflow and product quality. + + - *Cross-Platform Compatibility*: Go simplifies the build process with its strong support for cross-platform compilation, making it easier to manage and deploy on various systems without code changes. + +2. **Optimize Concurrency Handling**: Implementing a robust concurrency model using goroutines and channels to handle multiple jobs efficiently. + + > **How it would be achieved ?** + + - The *new scheduler architecture* will utilise: + + ![architecture](./asset/golang_arch.png) + + - **Go Routines for Task Management**: Efficiently handling multiple jobs in parallel to optimize resource usage. + + - **Channels for Communication**: Using channels to manage job queues and worker communication, ensuring thread-safe operations. + + - **Modular Design**: Structuring the scheduler with clear separation of concerns, allowing for easier updates and maintenance. + + - To ensure consistency and maintainability of the codebase, the following *coding standards* will be applied: + + - *Format and Style*: using `gofmt` and `golint` for formatting and linting the code. + + - *Error Handling*: Follow Go's idiomatic way of error handling. Always check for errors where they can occur and handle them gracefully. + + - *Commenting and Documentation*: Write clear comments for all public functions and methods, using Godoc conventions. Document all packages and provide examples where necessary. + + - *Concurrency Practices*: Use goroutines and channels appropriately. Avoid common pitfalls like race conditions by using synchronization primitives from the `sync` package when needed. + + - *Testing*: Write comprehensive unit tests for all components using Go's built-in `testing` package. Aim for a high level of test coverage to ensure reliability and facilitate future changes. + +3. **Enhance Error Handling**: Utilizing Go's built-in error handling to create a more reliable and fault-tolerant scheduler. + +4. **Integrate with Existing Systems**: Ensuring the new Go-based scheduler integrates seamlessly with the current FOSSology ecosystem. + +5. **Test and Deploy**: Thoroughly test the new system for performance and reliability before full deployment. + +6. **Document the System**: Provide comprehensive documentation to support future development and use of the scheduler. +