Distributed Operating System

Duration: 3 min

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Module outline

  1. HPSC Interview Preparation: Interview Preparation
  2. Python Language: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  3. Data Structure & Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Sorting Algorithms, Minimum Spanning Trees, Time Complexity Analysis, Graph Theory, Shortest Path Algos
  4. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security
  5. Computer System & Organisation: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer
  6. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, SQL, File Organization & Indexing, Transaction Management, Concurrency Control
  7. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling
  8. Digital Logic & Circuits: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  9. Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Pushdown Automata & CFG, Turing Machines, Moore & Mealy Machines
  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. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Data Warehousing & Mining
  12. Introduction to Emerging Trends: Emerging Tech Trends
  13. Digital Society & Cyber Law: Society, Law & Ethics
  14. HPSC PGT Previous Year Paper:
  15. HPSC Assistant Professor Previous Year Paper:
  16. Live Sessions: HPSC Live Sessions, EMRS TGT/PGT Live Class
  17. Full Mock Test:
  18. HPSC PGT - MOCK Test Series:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This lecture introduces the fundamental concepts of a Distributed Operating System (OS). The instructor defines it as software running over a collection of independent, networked, and loosely coupled nodes that are physically separate. A key characteristic highlighted is that these nodes do not share memory or a clock; instead, they possess local memory and communicate via networks like high-speed buses or the Internet. The lecture presents an architectural diagram showing distributed applications and services running across multiple machines (Machine A, B, C), each with its own kernel. Finally, the instructor outlines four major reasons for building distributed systems: resource sharing, computation speedup, reliability, and communication, citing examples like Plan 9 and Inferno.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video begins with a slide titled 'Distributed OS'. The instructor reads and underlines the definition: 'A distributed operating system is a software over a collection of independent, networked, communicating, loosely coupled nodes and physically separate computational nodes.' He emphasizes the terms 'independent', 'networked', 'communicating', and 'loosely coupled' by underlining them. To illustrate the concept of nodes communicating, he draws a rough diagram of four squares connected by lines, representing a network topology. He explains that these modes do not share memory or a clock, meaning each node has its own local memory.

  2. 2:00 – 3:20 02:00-03:20

    The instructor moves to the architectural diagram showing 'Machine A', 'Machine B', and 'Machine C'. The diagram displays layers: 'Distributed applications' at the top, 'Distributed operating system services' in the middle, and 'Kernel' at the bottom for each machine, all connected by a 'Network'. He explains that jobs are serviced by multiple CPUs and each node holds a specific software subset. He then lists four major reasons for building distributed systems, underlining 'resource sharing', 'computation speedup', 'reliability', and 'communication'. He concludes this section by mentioning examples such as 'Plan 9 from Bell Labs' and 'Inferno'.

The lecture progresses from a textual definition of a Distributed OS to a visual architectural representation. It establishes that distributed systems consist of physically separate nodes communicating over a network without shared memory. The lesson concludes by justifying the use of such systems through four key benefits: resource sharing, speedup, reliability, and communication, providing historical context with examples like Plan 9.

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