Ollama: Ollama: improve existing draft article

2026-10-19T10:38:17Z

Ollama: improve existing draft article

← Older revision		Revision as of 10:38, 19 October 2026
Line 1:		Line 1:
			[[Linux scheduler]] is a critical component of the Linux kernel responsible for managing CPU resources by determining which processes or threads should be executed at any given time. It plays a central role in ensuring efficient system performance, responsiveness, and fairness among competing tasks. The scheduler's design has evolved significantly since the early days of Linux, reflecting advances in hardware capabilities, workload diversity, and computational demands. This article provides an overview of the [[Linux scheduler]]'s architecture, key features, and its role in modern computing environments.
⚫	https://medium.com/@samyamnarayan/building-ghost-from-scratch-a-practical-guide-to-googles-user-space-linux-scheduler-a035014affcf

			{{H2\|Historical Development}}
	{{Draft}}
			The [[Linux scheduler]] has undergone several major revisions since the kernel's inception in the early 1990s. The original scheduler, designed by Linus Torvalds, was a simple round-robin algorithm that prioritized processes based on their static priority and time slice allocations. As Linux grew in complexity and adoption, the scheduler required enhancements to handle multi-processor systems, real-time workloads, and improved fairness mechanisms. A major overhaul occurred with the introduction of the Completely Fair Scheduler (CFS) in the 2.6 kernel series, which replaced the older O(1) scheduler. CFS uses a red-black tree data structure to maintain process priorities and ensures that CPU time is distributed proportionally among tasks based on their weight.

			{{H2\|Key Features}}
			Modern implementations of the [[Linux scheduler]] emphasize fairness, latency reduction, and scalability. Key features include:
			- Priority-based scheduling: Processes are assigned static or dynamic priorities, with higher-priority tasks receiving preferential treatment.
			- Preemption: The scheduler can interrupt lower-priority tasks to execute higher-priority ones, minimizing response times for critical operations.
			- Load balancing: On multi-core systems, the scheduler distributes workloads across available CPUs to prevent bottlenecks.
			- Real-time support: The [[Linux scheduler]] includes real-time (RT) scheduling policies (e.g., SCHED_FIFO, SCHED_RR) for deterministic behavior in embedded and industrial applications.
			- Energy efficiency: Modern kernels integrate power management features that adjust scheduling decisions based on CPU utilization and thermal constraints.

			{{H2\|Scheduling Algorithms}}
			The [[Linux scheduler]] employs multiple algorithms tailored to different use cases:
			- Completely Fair Scheduler (CFS): The default algorithm for general-purpose workloads, which uses a virtual runtime metric to ensure proportional CPU allocation.
			- Deadline Scheduler: Designed for real-time systems, it guarantees that tasks meet their deadlines by enforcing strict timing constraints.
			- Stop-the-world scheduler: Used during system-wide operations like kernel updates, it temporarily halts all user-space processes to prevent race conditions.

			{{H2\|Implementation Details}}
			The [[Linux scheduler]] is implemented as part of the kernel's core codebase, with key components including:
			- Run queues: Data structures that track ready-to-execute processes for each CPU.
			- Scheduling classes: Logical groupings of scheduling policies (e.g., fair, real-time, deadline) that dictate how tasks are selected.
			- Context switching: The process of saving and restoring CPU state when switching between tasks, optimized to minimize overhead.

			{{H2\|Performance Considerations}}
			The efficiency of the [[Linux scheduler]] directly impacts system performance. Key considerations include:
			- Latency: The scheduler must balance responsiveness (low latency for interactive tasks) with throughput (high utilization for batch processing).
			- Scalability: As the number of CPUs increases, the scheduler must avoid performance degradation through efficient load-balancing algorithms.
			- Fairness: Ensuring that no single process monopolizes CPU resources, even under varying workloads.

			{{H2\|References}}
		⚫	- [Medium article on scheduler implementation](https://medium.com/@samyamnarayan/building-ghost-from-scratch-a-practical-guide-to-googles-user-space-linux-scheduler-a035014affcf)
			- [Linux kernel documentation: Scheduling](https://www.kernel.org/doc/Documentation/scheduler/sched-rt-group.txt)
			- [Red Hat: Understanding the [[Linux scheduler]]](https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/7/html/performance_tuning_guide/chap-performance_tuning_guide-linux_scheduler)

			{{Ollama}}
			{{Pending Human Review}}

Robert Brockway: Created page with "https://medium.com/@samyamnarayan/building-ghost-from-scratch-a-practical-guide-to-googles-user-space-linux-scheduler-a035014affcf {{Draft}}"

2025-07-04T04:26:23Z

Created page with "https://medium.com/@samyamnarayan/building-ghost-from-scratch-a-practical-guide-to-googles-user-space-linux-scheduler-a035014affcf {{Draft}}"

New page

https://medium.com/@samyamnarayan/building-ghost-from-scratch-a-practical-guide-to-googles-user-space-linux-scheduler-a035014affcf

{{Draft}}

← Older revision		Revision as of 10:38, 19 October 2026
Line 1:		Line 1:
			[[Linux scheduler]] is a critical component of the Linux kernel responsible for managing CPU resources by determining which processes or threads should be executed at any given time. It plays a central role in ensuring efficient system performance, responsiveness, and fairness among competing tasks. The scheduler's design has evolved significantly since the early days of Linux, reflecting advances in hardware capabilities, workload diversity, and computational demands. This article provides an overview of the [[Linux scheduler]]'s architecture, key features, and its role in modern computing environments.
⚫	https://medium.com/@samyamnarayan/building-ghost-from-scratch-a-practical-guide-to-googles-user-space-linux-scheduler-a035014affcf

			{{H2\|Historical Development}}
	{{Draft}}
			The [[Linux scheduler]] has undergone several major revisions since the kernel's inception in the early 1990s. The original scheduler, designed by Linus Torvalds, was a simple round-robin algorithm that prioritized processes based on their static priority and time slice allocations. As Linux grew in complexity and adoption, the scheduler required enhancements to handle multi-processor systems, real-time workloads, and improved fairness mechanisms. A major overhaul occurred with the introduction of the Completely Fair Scheduler (CFS) in the 2.6 kernel series, which replaced the older O(1) scheduler. CFS uses a red-black tree data structure to maintain process priorities and ensures that CPU time is distributed proportionally among tasks based on their weight.

			{{H2\|Key Features}}
			Modern implementations of the [[Linux scheduler]] emphasize fairness, latency reduction, and scalability. Key features include:
			- Priority-based scheduling: Processes are assigned static or dynamic priorities, with higher-priority tasks receiving preferential treatment.
			- Preemption: The scheduler can interrupt lower-priority tasks to execute higher-priority ones, minimizing response times for critical operations.
			- Load balancing: On multi-core systems, the scheduler distributes workloads across available CPUs to prevent bottlenecks.
			- Real-time support: The [[Linux scheduler]] includes real-time (RT) scheduling policies (e.g., SCHED_FIFO, SCHED_RR) for deterministic behavior in embedded and industrial applications.
			- Energy efficiency: Modern kernels integrate power management features that adjust scheduling decisions based on CPU utilization and thermal constraints.

			{{H2\|Scheduling Algorithms}}
			The [[Linux scheduler]] employs multiple algorithms tailored to different use cases:
			- Completely Fair Scheduler (CFS): The default algorithm for general-purpose workloads, which uses a virtual runtime metric to ensure proportional CPU allocation.
			- Deadline Scheduler: Designed for real-time systems, it guarantees that tasks meet their deadlines by enforcing strict timing constraints.
			- Stop-the-world scheduler: Used during system-wide operations like kernel updates, it temporarily halts all user-space processes to prevent race conditions.

			{{H2\|Implementation Details}}
			The [[Linux scheduler]] is implemented as part of the kernel's core codebase, with key components including:
			- Run queues: Data structures that track ready-to-execute processes for each CPU.
			- Scheduling classes: Logical groupings of scheduling policies (e.g., fair, real-time, deadline) that dictate how tasks are selected.
			- Context switching: The process of saving and restoring CPU state when switching between tasks, optimized to minimize overhead.

			{{H2\|Performance Considerations}}
			The efficiency of the [[Linux scheduler]] directly impacts system performance. Key considerations include:
			- Latency: The scheduler must balance responsiveness (low latency for interactive tasks) with throughput (high utilization for batch processing).
			- Scalability: As the number of CPUs increases, the scheduler must avoid performance degradation through efficient load-balancing algorithms.
			- Fairness: Ensuring that no single process monopolizes CPU resources, even under varying workloads.

			{{H2\|References}}
		⚫	- [Medium article on scheduler implementation](https://medium.com/@samyamnarayan/building-ghost-from-scratch-a-practical-guide-to-googles-user-space-linux-scheduler-a035014affcf)
			- [Linux kernel documentation: Scheduling](https://www.kernel.org/doc/Documentation/scheduler/sched-rt-group.txt)
			- [Red Hat: Understanding the [[Linux scheduler]]](https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/7/html/performance_tuning_guide/chap-performance_tuning_guide-linux_scheduler)

			{{Ollama}}
			{{Pending Human Review}}

Linux scheduler - Revision history

Ollama: Ollama: improve existing draft article

Robert Brockway: Created page with "https://medium.com/@samyamnarayan/building-ghost-from-scratch-a-practical-guide-to-googles-user-space-linux-scheduler-a035014affcf {{Draft}}"