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Guided learning journeys that build knowledge step by step.
category · Learning · slug · learning · 7813 Paths
7813 Paths · page 426 / 782
This learning path guides OS students through the principles and techniques for managing and optimizing file system performance. It covers disk I/O fundamentals, journaling, RAID, caching, defragmentation, and in-depth studies of ext4, NTFS, and ZFS, culminating in practical performance monitoring and tuning.
This learning path guides university students through the core concepts of file system implementation, covering file system structure, directory implementation, free space management, and allocation methods. It begins with necessary background in memory management and progresses to advanced topics, ensuring a systematic understanding of how file systems organize and manage data on storage devices.
This path guides OS students through the fundamental concepts of virtual memory and page replacement, covering key algorithms such as FIFO, Optimal, LRU, Second-Chance, Clock, and the Working Set Model. It emphasizes the reasoning behind each algorithm, their trade-offs, and practical implementation considerations.
This learning path provides a systematic introduction to virtual memory and paging in operating systems. It begins with foundational memory management concepts, then covers address translation, page tables, TLB, page faults, and advanced mechanisms such as demand paging and copy-on-write. The path is designed for university students with some background in computer architecture.
This learning path introduces the core concepts of memory management in operating systems, starting from computer architecture basics and progressing through logical vs physical addresses, the MMU, swapping, contiguous allocation, and paging. It is designed for university students in OS/architecture courses seeking a systematic understanding of how memory is abstracted and managed.
This path provides a systematic understanding of deadlocks in operating systems. Starting with fundamental synchronization concepts, it covers the formal conditions for deadlocks, modeling with resource allocation graphs, and then explores strategies for prevention, avoidance, detection, and recovery. The path emphasizes the Banker's algorithm as a key avoidance technique and concludes with practical recovery methods.
This learning path guides students through the fundamental concepts of process synchronization, starting with threads and concurrency, progressing to the critical section problem and its solutions, and culminating in advanced synchronization mechanisms and deadlock prevention. It is designed for university students with a basic understanding of operating systems.
This path guides learners from foundational scheduling concepts to advanced algorithms and real-world implementations. It covers multilevel queue scheduling, multilevel feedback queue, real-time scheduling, and scheduling in Linux and Windows, providing a comprehensive understanding of CPU scheduling in modern operating systems.
This learning path introduces the core concepts of CPU scheduling in operating systems. Starting with process concepts, it covers scheduling criteria and the classic algorithms: FCFS, SJF, Round Robin, and Priority Scheduling. By the end, learners will understand how operating systems decide which process runs next.
This path introduces the concept of threads, contrasts them with processes, explores multithreading models, and examines common thread libraries and concurrency issues. It is designed for students who already understand process management concepts.