Next Fit Policy

Duration: 3 min

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Module outline

  1. Quantitative Ability: Percentage, Profit and Loss, Ratio and Proportion (Ratios), Average, Time and Work, Speed Time and Distance, Simple Interest and Compound Interest, Age Problems, Number System, Divisibility Rules, HCF LCM, Algebra, Permutation and Combination, Probability, Data Interpretation, Logarithm, Sequence and Series (Series), Powers and Exponents (Surds and Indices), Speed Mathematics and Basic Mathematics
  2. Logical Reasoning: Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Data Sufficiency, Venn Diagram, Inequality, Series (Number and Letter Series) (Numerical Relations and Reasoning), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Subject Verb Agreement (Verb Noun Agreement), Tenses, Articles, Preposition, Conjunction, Modals, Active Passive Voice (Voice), Direct and Indirect Speech, Vocabulary, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Completion (Fill in the blanks), Sentence Correction (Error Correction), Cloze Test (Cloze Passage), Facts, Inference and Judgements
  4. Programming Fundamentals (Technical): C Fundamentals
  5. Data Structures (Technical): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  6. Algorithms (Technical): Algorithm Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Time Complexity Analysis, Advanced Algorithms
  7. OOPs (Technical): Object Oriented Programming (OOPS)
  8. DBMS (Technical): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  9. SQL (Technical): SQL
  10. Operating Systems (Technical): Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  11. Computer Networks (Technical): 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, Mobile Technology, Cloud Computing and IoT, Cyber and Info Security
  12. Software Engineering (Technical): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. Coding/Automata Round: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir, Pseudo Codes
  14. Personality / Behavioral Assessment: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
  15. Writing Assessment: English Writing Ability
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video lecture covers memory allocation strategies, specifically focusing on the "Next fit policy" and "External fragmentation". The instructor begins by defining Next fit as a modification of the Best fit algorithm. He illustrates on a whiteboard how the search for memory blocks continues from the last allocated position rather than restarting from the beginning. Later, the lecture transitions to the concept of External fragmentation, explaining it as a consequence of contiguous allocation policies where free memory exists but is non-contiguous, preventing the allocation of larger processes. This progression highlights the relationship between allocation efficiency and memory wastage.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces the "Next fit policy" using a slide that defines it as a modification of the best fit algorithm. He explains that after satisfying a request, the search for the next request starts from the "current position" rather than the beginning of memory. Visually, he draws a long horizontal rectangle on the whiteboard to represent memory blocks. He marks specific sections with diagonal lines to denote allocated space and draws a red arrow pointing to the right to demonstrate the search pointer moving forward from the last allocation point. He emphasizes that this approach avoids scanning the entire memory list repeatedly, unlike the standard Best fit method, which restarts the search from the start every time.

  2. 2:00 – 3:04 02:00-03:04

    The lecture transitions to a new topic, "External fragmentation," displayed on the slide. The text defines it as a function of contiguous allocation policy where requested space is available but not contiguous. The instructor explains that this wastage occurs because the scattered free blocks cannot be combined to satisfy a single large request. He uses hand gestures to indicate separate, non-adjacent blocks of memory. The slide text explicitly states, "The space requested by the process is available in memory but, as it is not being contiguous, cannot be allocated this wastage is called external fragmentation." He clarifies that even if total free space is sufficient, the lack of contiguity prevents allocation.

The lesson progresses from a specific allocation algorithm to a fundamental memory management problem. By first detailing how Next fit optimizes search efficiency compared to Best fit, the instructor sets the stage for understanding the limitations of contiguous allocation. The introduction of External fragmentation highlights the trade-off: while algorithms like Next fit manage allocation efficiently, the requirement for contiguous blocks inherently leads to wasted space when free memory is fragmented. This connects the mechanical process of allocation to the resulting state of the memory system, showing how efficient searching does not solve the underlying issue of scattered free blocks.

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