Scheduling Criteria

Duration: 10 min

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Inside: a video lesson and guided study material.

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
  2. General Awareness: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, Environment, Static General Knowledge, GK- Current Affairs, Artificial Intelligence, MS Office Applications, Terms & Abbreviations, Keyboard Shortcuts, Evolution of Indian Banking (Banking & Financial Awareness), Emerging Tech Trends
  3. Engineering Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Linear Algebra, Calculus, Probability, Statistics, Signal Space and Optimum Detection, Probability, Statistics
  4. Digital Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep, Number Systems and Codes, Registers and Counters, Boolean Algebra and Logic Gates, Microprocessors and Microcontrollers, Logic Families and CMOS Logic, Microprocessors, Logic Gates and Boolean Algebra, Minimization of Boolean Functions, Timing, Hazards and Testing, Logic Families, Combinational Logic Design, Arithmetic Circuits, Waveform Generators and Timer Circuits, Semiconductor Memories and Programmable Logic Devices, Combinational Logic Circuits, Latches and Flip-Flops, Finite State Machines, Sequential Circuits and State Machines, Minimization of Boolean Functions, Arithmetic Circuits, Latches and Flip-Flops, Number Systems and Codes, Registers and Counters
  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
  11. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Security, Windows OS, Distributed Systems, Unix OS, Linux OS
  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:
  15. Paper 2 - Full-length Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video provides a comprehensive overview of CPU scheduling criteria in Operating Systems, presented by Sanchit Jain from Knowledge Gate. The lecture begins by establishing that different scheduling algorithms possess unique properties that may favor specific classes of processes. Consequently, specific criteria are essential for the efficient selection of an algorithm. The instructor systematically defines and illustrates four key metrics: CPU utilization, throughput, waiting time, and response time. Using visual analogies such as a bank teller, a car assembly line, and queues of people, he clarifies abstract concepts. The session concludes by summarizing the primary goals of scheduling: maximizing utilization and throughput while minimizing turnaround, waiting, and response times. A crucial note is added that scheduling algorithms primarily affect waiting time in the ready queue rather than I/O execution time. The video serves as a foundational guide for understanding how operating systems manage process execution efficiently.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a slide titled "Scheduling criteria". The text reads, "Different CPU-scheduling algorithms have different properties, and the choice of a particular algorithm may favour one class of processes over another." The instructor explains that because algorithms vary in their properties, selecting the right one requires considering specific criteria. He emphasizes that the choice of algorithm can inherently favor one type of process over another, making the selection process critical for system efficiency. He gestures with his hands to emphasize the different properties and the need for a structured approach to selection. The slide also mentions that "in order to efficiently select the scheduling algorithms following criteria should be taken into consideration".

  2. 2:00 – 5:00 02:00-05:00

    The first metric introduced is "CPU utilization". The slide text defines this as "Keeping the CPU as busy as possible." An image of a bank teller is displayed to provide a real-world analogy. The instructor explains that just as a bank teller should be kept busy serving customers to maximize efficiency, the CPU should be kept busy executing processes. He stresses that keeping the CPU busy is a fundamental goal of any scheduling algorithm to ensure hardware resources are not wasted. He points to the screen to draw attention to the text and the image. The visual of the bank teller helps students visualize the concept of resource utilization.

  3. 5:00 – 10:00 05:00-10:00

    The lecture moves to "Throughput", defined on the slide as "the number of processes that are completed per time unit". An image of a car assembly line illustrates this concept of continuous work completion. Next, "Waiting time" is defined as "the sum of the periods spent waiting in the ready queue." This is visualized with a photo of a long queue of people, highlighting the time spent waiting. Finally, "Response Time" is explained as "the time it takes to start responding, not the time it takes to output the response." An image of people waiting for food is used to show the moment service begins. The instructor clarifies that response time measures the delay until the first response, not the total task duration. He uses hand gestures to differentiate between starting and finishing. The visual of the food stall helps distinguish between response time and turnaround time.

  4. 10:00 – 10:17 10:00-10:17

    The video concludes with a summary slide containing a note. The text states, "The CPU-scheduling algorithm does not affect the amount of time during which a process executes I/O; it affects only the amount of time that a process spends waiting in the ready queue." The final point on the slide reads, "It is desirable to maximize CPU utilization and throughput and to minimize turnaround time, waiting time, and response time." The instructor reiterates these objectives, summarizing the trade-offs and goals of CPU scheduling. He underlines the key terms on the slide to emphasize their importance. The note clarifies the limitations of scheduling algorithms regarding I/O time.

The lecture effectively breaks down the complex topic of CPU scheduling into four measurable criteria. By using relatable analogies like bank tellers and assembly lines, the instructor makes abstract concepts like utilization and throughput concrete. The progression from system-centric metrics (utilization, throughput) to user-centric metrics (waiting time, response time) provides a logical flow. The final summary reinforces the dual goals of maximizing system efficiency and minimizing user wait times, while clarifying the specific scope of what scheduling algorithms can and cannot influence regarding I/O and execution time. This structured approach helps students understand the trade-offs involved in designing and selecting scheduling algorithms.

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