Next Fit Policy

Duration: 3 min

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Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. Paper 1 | General Studies: State Wise GK
  3. Paper 1 | Information and Communication Technology: Role of Internet and Web Services, Security in Mobile and Wireless Computing
  4. Paper 1 | Current Affairs: GK- Current Affairs
  5. Paper 2 | Discrete Mathematical Structure: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Probability
  6. Paper 2 | Digital Computer Organization And Architecture: Number System, Number Representation, Sequential Circuits, Combinational Circuit, 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
  7. Paper 2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  8. Paper 2 | Programming Languages & Object-Oriented Programming Concepts: Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  9. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  10. Paper 2 | Data Structure And Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Advanced Algorithms
  11. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS
  12. Paper 2 | 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
  13. Paper 2 | 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
  14. Paper 2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization, Enhanced Data Models
  15. Paper 2 | Computer Network And Information Security: Introduction to CN, Data Communication, Application Layer, Hardware basics, Cyber Threats and Malware Attacks, Network Security, 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
  16. Paper 2 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  17. Paper 2 | Current Trends & Technologies: Emerging Tech Trends, Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms, Artificial Intelligence, Data Warehousing & Mining, Electronic Data Interchange and E-Commerce, Terms & Abbreviations
  18. Paper 2 | Full Length Mock Tests:
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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