Multi Level Queue Scheduling
Duration: 5 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- About Course: About the Course
- General Aptitude & Reasoning: Number System, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Speed Time and Distance, Mixture and Alligation, Data Interpretation, Algebra, Probability, Permutation and Combination, Venn Diagram, HCF LCM, Divisibility Rules, Age Problems, Pipe and Cistern, Partnership, Linear Algebra, Sequence and Series (Series), Statistics, Powers and Exponents (Surds and Indices), Arithmetic, Mensuration and Geometry, Calculus, Trigonometry, Vectors, Speed Mathematics and Basic Mathematics, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analogy, Series (Number and Letter Series) (Numerical Relations and Reasoning), Puzzle Solving (Puzzles), Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Calendar, Seating Arrangements, Coding Decoding, Blood Relations, Directions (Direction Test), Clock, Analytical Reasoning (Counting Figures Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Inequality, Data Sufficiency, Cubes & Dices
- Computer Networks & Cybersecurity: Introduction to CN, Data Communication, 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, Network Security
- Programming, Data Structures & Algorithms: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
- AI, Machine Learning, Big Data & Cloud: Emerging Tech Trends, Artificial Intelligence, Big Data Systems, Approaches to AI, Search Algorithms, Knowledge Representation, Cloud Computing
- Digital Logic & Computer Organization: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
- TOC & Compiler: 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, 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
- Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
- Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Distributed Systems
- Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Object Oriented Technology, HTML Basics, JavaScript-Basics, Java, XML
- Database Management System: 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, Data Warehousing & Mining, Enhanced Data Models, NoSQL
- Other Recurring CS Topics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, Multimedia
- Live Classes: ISRO Live classes
- Full Mock Test:
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This educational video provides a detailed lecture on Multi Level-Queue Scheduling, a class of scheduling algorithms designed for situations where processes are easily classified into different groups. The instructor explains that a common division is made between foreground (interactive) processes and background (batch) processes, which have different response-time requirements and scheduling needs. The core concept involves partitioning the ready queue into several separate queues where processes are permanently assigned based on properties like memory size, process priority, or process type. The visual aid displays a hierarchy of queues, illustrating how the operating system manages these distinct groups to optimize system performance.
Chapters
0:00 – 2:00 00:00-02:00
The instructor begins by presenting a slide titled Multi Level-Queue Scheduling which outlines the fundamental definition of the algorithm. He reads from the text stating that the algorithm partitions the ready queue into several separate queues. He emphasizes that processes are permanently assigned to one queue, generally based on some property of the process, such as memory size, process priority, or process type. The slide text explicitly mentions the division between foreground (interactive) and background (batch) processes, highlighting that these two types have different response-time requirements. The instructor uses this text to set the stage for understanding how different process types are handled differently by the OS. The text on the screen is clearly legible, providing a solid reference for the lecture content.
2:00 – 4:55 02:00-04:55
The instructor actively annotates the diagram on the slide to demonstrate specific scheduling policies. He writes RR (Round Robin) next to the top two queues labeled system processes and interactive processes, indicating that these interactive tasks use time-slicing. Conversely, he writes FCFS (First Come First Serve) next to the bottom queue labeled batch processes, suggesting a non-preemptive approach for background tasks. He further clarifies the priority structure by writing 3(H) next to the top queue and 1(L) next to the bottom queue, explicitly marking the highest and lowest priorities. He circles the queues and writes numerical values like TN=3, =2, and =1 to represent the priority levels, visually reinforcing the concept that higher priority queues are serviced before lower priority ones. The handwritten notes provide a clear visual guide to the scheduling logic.
The lecture effectively bridges the gap between theoretical definitions and practical implementation. By starting with the general definition of partitioning queues and then moving to specific annotations like RR and FCFS, the instructor clarifies how different scheduling algorithms are applied to different process groups. The visual hierarchy of system processes at the top and batch processes at the bottom, coupled with priority markings, provides a clear mental model for students to understand how operating systems prioritize critical tasks over background jobs. This progression from text to diagram annotation helps solidify the concept of multilevel queue scheduling.