Least Recently Used Page Replacement Algorithm

Duration: 6 min

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Module outline

  1. General Intelligence & Reasoning: Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Logical Sequence Of Words, Syllogisms, Venn Diagram, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Data Sufficiency, Puzzle Solving (Puzzles), Data Arrangement, Cubes & Dices, Calendar, Clock, Arithmetic, Number System, HCF LCM, Verbal Analogy (Word Based Analogy), Visual Recognition and Figure Completion, Paper Folding and Cutting, Transformation of Shapes, Clocks and Calendars, Direction Sense, Cubes and Dice, Patterns in Two-Dimensional Figures, Seating Arrangements, Analogy and Classification, Logical Deduction and Induction, Alphabet and Word Tests, Mathematical Operations, Series Completion, Simplification and Approximation, Coding and Decoding, Numerical Reasoning, Assembling and Grouping of Shapes, Three-Dimensional Patterns and Visualization, Vocabulary, Number System, Averages, Mixtures and Alligation, Simple and Compound Interest, Percentages, Algebra, Speed, Time and Distance, Seating and Arrangement Puzzles, Traverse Surveying, Order, Ranking and Sequence, Constraint Puzzles, Syllogisms and Venn Diagrams, Reading Comprehension, Critical Reasoning, Permutations and Combinations, Narrative Sequencing, Project Monitoring, Resources and Safety, Profit, Loss and Discount, Ratio and Proportion, Time and Work, Mensuration, Data Interpretation, Powers, Surds and Logarithms, Sequences and Series, Articles and Determiners, Sentence Completion, Data Sufficiency, Blood Relations, Simple Interest and Compound Interest, Mixture and Alligation, Sequence and Series (Series), Speed Time and Distance, Algebra, Profit and Loss, Powers and Exponents (Surds and Indices), Permutation and Combination
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  5. Computer Organisation & Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer, Register Transfer and Microoperations, Semiconductor Memories and Programmable Logic, Processor Organization and Instructions, Memory Hierarchy and Input/Output, Registers and Counters
  6. Programming & Data Structures: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, HTML Basics, OOPS with C++, Java, Object Oriented Technology
  7. Databases: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization
  8. Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos
  9. Theory of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory
  10. Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
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  12. Computer Networks: Introduction to CN, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware Basics, Data Communication, Website, Browser & Services, Web Design & Development, Network Security, Cyber Threats and Malware Attacks, Cyber Safety and Security
  13. Full Length Mock Tests:
  14. Sectional Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video provides a detailed lecture on the Least Recently Used (LRU) Page Replacement Algorithm, a key concept in operating systems memory management. The instructor begins by defining LRU as a strategy that replaces the page that has not been used for the longest period of time. He contrasts this with the optimal algorithm, suggesting LRU can be viewed as the optimal algorithm looking backward in time rather than forward. The lecture highlights that LRU results in 12 page faults for a specific reference string, which is better than First-In-First-Out (FIFO) replacement. Furthermore, the instructor notes that LRU is a widely used policy that does not suffer from Belady's Anomaly. The second half of the lecture transitions to a whiteboard session where the instructor introduces the concept of "stack algorithms." He explains that LRU and the Optimal (OPT) algorithm belong to this class. He defines a stack algorithm as one where the set of pages in memory for n frames is always a subset of the set of pages in memory for n+1 frames. To illustrate this, he draws a reference string and constructs vertical columns representing memory frames, demonstrating the subset property visually. This comprehensive approach ensures students grasp both the practical application and theoretical underpinnings of LRU.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor starts with a slide titled "Least Recently Used (LRU) Page Replacement Algorithm." He explains the core definition: "Replace the page that has not been used for the longest period of time." He elaborates that this strategy can be thought of as the optimal page-replacement algorithm looking backward in time. The slide displays a reference string and a table showing page frames, indicating that "LRU gives us 12-page faults." The instructor emphasizes that "LRU is much better than FIFO replacement" and states that the LRU policy is often used because it is considered good. He also points out a key advantage: "LRU also does not suffer from Belady's Anomaly." This section sets the theoretical foundation for why LRU is preferred over simpler algorithms like FIFO.

  2. 2:00 – 5:00 02:00-05:00

    The scene shifts to a whiteboard where the instructor addresses the implementation challenges. He writes, "The major problem is how to implement LRU replacement. An LRU page-replacement algorithm may require substantial hardware assistance." He then introduces a specific class of algorithms called "stack algorithms." He writes, "LRU and OPT belong to a class of page-replacement algorithms, called stack algorithms and can never exhibit Belady's anomaly." He provides a formal definition on the board: "A stack algorithm is an algorithm for which it can be shown that the set of pages in memory for n frames is always a subset of the set of pages that would be in memory with n + 1 frames." To make this abstract definition concrete, he writes a long reference string: "7 0 1 2 0 3 0 4 2 3 0 3 2 1 2 0 1 7 0 1" and begins drawing vertical columns to represent memory frames, starting with a single frame containing the number 7. This step-by-step visual breakdown is crucial for understanding the subset property.

  3. 5:00 – 6:22 05:00-06:22

    Continuing the whiteboard demonstration, the instructor builds upon the stack algorithm concept. He draws multiple columns representing different numbers of frames (n, n+1, etc.). For the first column (1 frame), he writes "7". For the second column (2 frames), he writes "7" and "0". For the third column (3 frames), he writes "7", "0", and "1". He continues this process, filling the columns with numbers from the reference string to visually prove the subset property. He draws a column with "2", "0", "3" and another with "4", "0", "3", "3" (or similar variations depending on the specific step). He points to these columns, explaining that the set of pages in the smaller frame count is contained within the larger frame count. This visual proof reinforces the definition of stack algorithms.

The lecture effectively bridges the gap between the theoretical definition of LRU and its practical classification as a stack algorithm. By first establishing LRU's superiority over FIFO and its immunity to Belady's Anomaly, the instructor sets the stage for the more complex concept of stack algorithms. The whiteboard demonstration serves as a crucial visual aid, transforming the abstract mathematical definition of a stack algorithm into a tangible example. This progression helps students understand not just *what* LRU is, but *why* it behaves the way it does, specifically regarding memory frame subsets.

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