Linux Scheduling Mastery: From Core Concepts to Real-Time & Distributed Systems

Menra  ·  2024

 ·  Linux   Scheduling   CFS   PREEMPT_RT   Real-Time   Distributed   Systems   Kernel   Performance   Tuning  ·  Operating   Systems   Linux   Kernel   Real-Time   Distributed   Performance

Linux Scheduling Mastery: From Core Concepts to Real-Time & Distributed Systems cover
Cover of Linux Scheduling Mastery: From Core Concepts to Real-Time & Distributed Systems

Master Linux Scheduling from A to Z!

This comprehensive guide takes you on an in-depth journey into the heart of Linux scheduling. From fundamental concepts to the intricacies of real-time systems with PREEMPT_RT and the challenges of scheduling in distributed environments, this course is designed for system developers, advanced Linux administrators, and DevOps engineers cottura to master the performance and responsiveness of their systems.

What You Will Learn:

  • The Fundamentals: Understand the crucial role of scheduling, classic algorithms (FCFS, SJF, RR), and evaluation criteria.
  • The Linux Kernel Scheduler: Dive into the architecture of Linux scheduling classes, master the Completely Fair Scheduler (CFS), and understand SCHED_NORMAL, SCHED_BATCH, and SCHED_IDLE policies.
  • Real-Time Scheduling: Master SCHED_FIFO, SCHED_RR, and the powerful SCHED_DEADLINE policies. Understand sources of latency and how the PREEMPT_RT patch transforms Linux for critical applications.
  • Distributed Systems: Explore scheduling challenges beyond a single node, including load balancing, task migration, and solutions used in HPC clusters (Slurm) and Cloud/Container platforms (Kubernetes).
  • Tooling and Monitoring: Effectively use top, ps, perf, ftrace, eBPF, and /proc interfaces to analyze and diagnose scheduler behavior.
  • Optimization and cgroups: Learn to optimize performance through CPU affinity, kernel parameters, and manage CPU resources with Control Groups (cgroups).
  • Best Practices and Case Studies: Apply your knowledge to real-world scenarios (web servers, RT applications, HPC, multimedia) and adopt best practices.
  • Future Outlook: Discover emerging trends like scheduling for heterogeneous architectures (EAS) and the potential role of AI.
  • Practical Exercises: Each relevant chapter includes hands-on labs to solidify your learning.

Who Is This Course For?

  • Kernel or system developers muốn to understand and optimize scheduling.
  • Linux system administrators seeking to improve server performance and stability.
  • DevOps engineers involved in resource management for containerized or cloud applications.
  • Computer science students (Master’s, Engineering) specializing in operating systems.
  • Anyone curious to deeply understand how Linux manages task execution.

Prerequisites:

  • Basic knowledge of operating systems (processes, threads).
  • Basic Linux command-line usage.
  • Notions of C programming (recommended for some examples and labs).

Get ready to master one of the most critical and fascinating aspects of Linux! This course is your roadmap to confidently navigating the world of advanced scheduling.

Course Outline (Main Chapters):

  • Chapter 0: General Introduction
  • Chapter 1: Introduction and Fundamental Refresher
  • Chapter 2: Classic Schedulers (Theory)
  • Chapter 3: Scheduling in the Linux Kernel
  • Chapter 4: Real-Time Systems and Scheduling
  • Chapter 5: Scheduling in Distributed Systems
  • Chapter 6: Tools, Monitoring, and Optimization
  • Chapter 7: Case Studies and Best Practices
  • Chapter 8: Conclusion and Future Directions

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