Distributed Operating System
Duration: 3 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- About Course: BTSC About Course
- Basics of Computer Science: Basics of COA, Number System, Number Representation
- Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory
- Data Structures & Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms
- Database Management Systems(DBMS): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Relational Algebra, SQL, Transaction Management, Concurrency Control, Database Recovery
- Networking and Internet: Introduction to CN, Data Communication, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Application Layer, Hardware Basics, Network Access Technologies, Network Security
- Cyber Security Basics: Cyber Threats and Malware Attacks, Role of Internet and Web Services, Electronic Data Interchange and E-Commerce, Cyber Safety and Security
- C Programming (Programming Fundamentals): C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
- C++, OOPs & Java (Programming Fundamentals): Java, OOPS with C++
- Python (Programming Fundamentals): Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules
- Web Development Basics: Internet Fundamentals, Web Design & Development, Protocols & Services, Web Publishing & Hosting, Server Side & Security, Emerging Technologies, JavaScript-Basics, HTML Basics
- Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing
- Software and Hardware Tools: MS Office Applications, Unix OS, Linux OS
- Emerging Trends. AI & Social Ethics: Artificial Intelligence, Emerging Tech Trends, Society, Law & Ethics
- Full Mock Test:
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
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.
2:00 – 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.